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Standards, technology, machine learning, and modeling

Section edited by Andreas Holzinger

This section considers manuscripts that investigate data analysis, data mining and machine learning in healthcare systems, disease prediction, forecasting and modeling, as well as studies in advanced information and data management systems, and knowledge bases.

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  1. Data sparsity is a major limitation to estimating national and global dementia burden. Surveys with full diagnostic evaluations of dementia prevalence are prohibitively resource-intensive in many settings. How...

    Authors:

    Citation: BMC Medical Informatics and Decision Making 2021 21:241

    Content type: Research article

    Published on:

  2. In medical diagnosis and clinical practice, diagnosing a disease early is crucial for accurate treatment, lessening the stress on the healthcare system. In medical imaging research, image processing techniques...

    Authors: Kinshuk Sengupta and Praveen Ranjan Srivastava

    Citation: BMC Medical Informatics and Decision Making 2021 21:227

    Content type: Research article

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  3. With the development and application of medical information system, semantic interoperability is essential for accurate and advanced health-related computing and electronic health record (EHR) information shar...

    Authors: Bo Sun, Fei Zhang, Jing Li, Yicheng Yang, Xiaolin Diao, Wei Zhao and Ting Shu

    Citation: BMC Medical Informatics and Decision Making 2021 21:199

    Content type: Research article

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  4. Extensive clinical evidence suggests that a preventive screening of coronary heart disease (CHD) at an earlier stage can greatly reduce the mortality rate. We use 64 two-dimensional speckle tracking echocardio...

    Authors: Jingyi Zhang, Huolan Zhu, Yongkai Chen, Chenguang Yang, Huimin Cheng, Yi Li, Wenxuan Zhong and Fang Wang

    Citation: BMC Medical Informatics and Decision Making 2021 21:187

    Content type: Research article

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  5. The ability to prioritize people living with HIV (PLWH) by risk of future transmissions could aid public health officials in optimizing epidemiological intervention. While methods exist to perform such priorit...

    Authors: Kimberly Almaraz, Tyler Jang, McKenna Lewis, Titan Ngo, Miranda Song and Niema Moshiri

    Citation: BMC Medical Informatics and Decision Making 2021 21:177

    Content type: Software

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  6. Assessing the accuracy of diagnostic coding is essential to ensure the validity and reliability of administrative coded data. The aim of the study was to evaluate the accuracy of assigned International Classif...

    Authors: Nasir Wabe, Ling Li, Robert Lindeman, Jeffrey J. Post, Maria R. Dahm, Julie Li, Johanna I. Westbrook and Andrew Georgiou

    Citation: BMC Medical Informatics and Decision Making 2021 21:168

    Content type: Research article

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  7. The demand for home healthcare devices arises; however, many home healthcare devices on the market are not designed to reflect the needs and features of the end-users. This study explored the user knowledge fa...

    Authors: Fan Yang, Abdullah Al Mahmud and Tao Wang

    Citation: BMC Medical Informatics and Decision Making 2021 21:166

    Content type: Research article

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  8. Heterogeneity among patients’ responses to treatment is prevalent in psychiatric disorders. Personalized medicine approaches—which involve parsing patients into subgroups better indicated for a particular trea...

    Authors: Monika S. Mellem, Matt Kollada, Jane Tiller and Thomas Lauritzen

    Citation: BMC Medical Informatics and Decision Making 2021 21:162

    Content type: Research article

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  9. The variety of medical documentation often leads to incompatible data elements that impede data integration between institutions. A common approach to standardize and distribute metadata definitions are ISO/IE...

    Authors: Stefan Hegselmann, Michael Storck, Sophia Gessner, Philipp Neuhaus, Julian Varghese, Philipp Bruland, Alexandra Meidt, Cornelia Mertens, Sarah Riepenhausen, Sonja Baier, Benedikt Stöcker, Jörg Henke, Carsten Oliver Schmidt and Martin Dugas

    Citation: BMC Medical Informatics and Decision Making 2021 21:160

    Content type: Research article

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  10. Patient satisfaction is a multi-dimensional concept that provides insights into various quality aspects in healthcare. Although earlier studies identified a range of patient and provider-related determinants, ...

    Authors: Mecit Can Emre Simsekler, Noura Hamed Alhashmi, Elie Azar, Nelson King, Rana Adel Mahmoud Ali Luqman and Abdalla Al Mulla

    Citation: BMC Medical Informatics and Decision Making 2021 21:157

    Content type: Research article

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  11. Severity scores assess the acuity of critical illness by penalizing for the deviation of physiologic measurements from normal and aggregating these penalties (also called “weights” or “subscores”) into a final...

    Authors: Yasser EL-Manzalawy, Mostafa Abbas, Ian Hoaglund, Alvaro Ulloa Cerna, Thomas B. Morland, Christopher M. Haggerty, Eric S. Hall and Brandon K. Fornwalt

    Citation: BMC Medical Informatics and Decision Making 2021 21:156

    Content type: Research article

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  12. Mechanical Ventilation (MV) is a complex and central treatment process in the care of critically ill patients. It influences acid–base balance and can also cause prognostically relevant biotrauma by generating...

    Authors: Behrooz Mamandipoor, Fernando Frutos-Vivar, Oscar Peñuelas, Richard Rezar, Konstantinos Raymondos, Alfonso Muriel, Bin Du, Arnaud W. Thille, Fernando Ríos, Marco González, Lorenzo del-Sorbo, Maria del Carmen Marín, Bruno Valle Pinheiro, Marco Antonio Soares, Nicolas Nin, Salvatore M. Maggiore…

    Citation: BMC Medical Informatics and Decision Making 2021 21:152

    Content type: Research article

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  13. Tongue diagnosis is an important research field of TCM diagnostic technology modernization. The quality of tongue images is the basis for constructing a standard dataset in the field of tongue diagnosis. To es...

    Authors: Tao Jiang, Xiao-juan Hu, Xing-hua Yao, Li-ping Tu, Jing-bin Huang, Xu-xiang Ma, Ji Cui, Qing-feng Wu and Jia-tuo Xu

    Citation: BMC Medical Informatics and Decision Making 2021 21:147

    Content type: Research article

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  14. Dengue fever is a widespread viral disease and one of the world’s major pandemic vector-borne infections, causing serious hazard to humanity. The World Health Organisation (WHO) reported that the incidence of ...

    Authors: Felestin Yavari Nejad and Kasturi Dewi Varathan

    Citation: BMC Medical Informatics and Decision Making 2021 21:141

    Content type: Research article

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  15. Artificial intelligence (AI) research is highly dependent on the nature of the data available. With the steady increase of AI applications in the medical field, the demand for quality medical data is increasin...

    Authors: Yunsook Kang, Yoo Jung Kim, Seongkeun Park, Gun Ro, Choyeon Hong, Hyungjoon Jang, Sungduk Cho, Won Jae Hong, Dong Un Kang, Jonghoon Chun, Kyoungbun Lee, Gyeong Hoon Kang, Kyoung Chul Moon, Gheeyoung Choe, Kyu Sang Lee, Jeong Hwan Park…

    Citation: BMC Medical Informatics and Decision Making 2021 21:114

    Content type: Database

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  16. Diabetes is a medical and economic burden in the United States. In this study, a machine learning predictive model was developed to predict unplanned medical visits among patients with diabetes, and findings w...

    Authors: Arielle Selya, Drake Anshutz, Emily Griese, Tess L. Weber, Benson Hsu and Cheryl Ward

    Citation: BMC Medical Informatics and Decision Making 2021 21:111

    Content type: Research article

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  17. Poor balance has been cited as one of the key causal factors of falls. Timely detection of balance impairment can help identify the elderly prone to falls and also trigger early interventions to prevent them. ...

    Authors: Lisha Yu, Yang Zhao, Hailiang Wang, Tien-Lung Sun, Terrence E. Murphy and Kwok-Leung Tsui

    Citation: BMC Medical Informatics and Decision Making 2021 21:108

    Content type: Research article

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  18. Blood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent years, deep learning techniques have been...

    Authors: Md Fazle Rabby, Yazhou Tu, Md Imran Hossen, Insup Lee, Anthony S. Maida and Xiali Hei

    Citation: BMC Medical Informatics and Decision Making 2021 21:101

    Content type: Research article

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  19. We developed transformer-based deep learning models based on natural language processing for early risk assessment of Alzheimer’s disease from the picture description test.

    Authors: Alireza Roshanzamir, Hamid Aghajan and Mahdieh Soleymani Baghshah

    Citation: BMC Medical Informatics and Decision Making 2021 21:92

    Content type: Research article

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  20. With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal findings.

    Authors: Fredrik A. Dahl, Taraka Rama, Petter Hurlen, Pål H. Brekke, Haldor Husby, Tore Gundersen, Øystein Nytrø and Lilja Øvrelid

    Citation: BMC Medical Informatics and Decision Making 2021 21:84

    Content type: Research article

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  21. The large volume of medical literature makes it difficult for healthcare professionals to keep abreast of the latest studies that support Evidence-Based Medicine. Natural language processing enhances the acces...

    Authors: Leonardo Campillos-Llanos, Ana Valverde-Mateos, Adrián Capllonch-Carrión and Antonio Moreno-Sandoval

    Citation: BMC Medical Informatics and Decision Making 2021 21:69

    Content type: Research article

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:118

  22. Mining massive prescriptions in Traditional Chinese Medicine (TCM) accumulated in the lengthy period of several thousand years to discover essential herbal groups for distinct efficacies is of significance for...

    Authors: Li Chen, Xinglong Liu, Siyuan Zhang, Hong Yi, Yongmei Lu and Pan Yao

    Citation: BMC Medical Informatics and Decision Making 2021 21:66

    Content type: Research article

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  23. Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applic...

    Authors: Alan Brnabic and Lisa M. Hess

    Citation: BMC Medical Informatics and Decision Making 2021 21:54

    Content type: Research article

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  24. This study aims to explore the information chain management model of large instrument and equipment inter-working in the operating room (OR) led by information nurses.

    Authors: Jinghua Dai, Xiaoqiang Ren, Peng Wu, Xiangdong Wang, Jiang Li, Haiyan Bian, Lingai Ren and Chunmei Wu

    Citation: BMC Medical Informatics and Decision Making 2021 21:50

    Content type: Research article

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  25. Information literacy competency is one of the requirements to implement Evidence-Based Practice (EBP) in nursing. It is necessary to pay attention to curricular development and use new educational methods such...

    Authors: Maryam Shamsaee, Parvin Mangolian shahrbabaki, Leila Ahmadian, Jamileh Farokhzadian and Farhad Fatehi

    Citation: BMC Medical Informatics and Decision Making 2021 21:48

    Content type: Research article

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  26. The coronavirus disease 2019 (COVID-19) pandemic has caused health concerns worldwide since December 2019. From the beginning of infection, patients will progress through different symptom stages, such as feve...

    Authors: Chenxi Sun, Shenda Hong, Moxian Song, Hongyan Li and Zhenjie Wang

    Citation: BMC Medical Informatics and Decision Making 2021 21:45

    Content type: Technical advance

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  27. Researchers developing prediction models are faced with numerous design choices that may impact model performance. One key decision is how to include patients who are lost to follow-up. In this paper we perfor...

    Authors: Jenna M. Reps, Peter Rijnbeek, Alana Cuthbert, Patrick B. Ryan, Nicole Pratt and Martijn Schuemie

    Citation: BMC Medical Informatics and Decision Making 2021 21:43

    Content type: Research article

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  28. Adverse drug reactions (ADRs) are an important concern in the medication process and can pose a substantial economic burden for patients and hospitals. Because of the limitations of clinical trials, it is diff...

    Authors: Fei Zhang, Bo Sun, Xiaolin Diao, Wei Zhao and Ting Shu

    Citation: BMC Medical Informatics and Decision Making 2021 21:38

    Content type: Research article

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  29. Due to the need for informatics competencies in the field of nursing, the present study was conducted to design a psychometric instrument to determine the qualification of informatics competencies of employed ...

    Authors: Mehrdad Farzandipour, Hashem Mohamadian, Hossein Akbari, Samira Safari and Reihane Sharif

    Citation: BMC Medical Informatics and Decision Making 2021 21:35

    Content type: Research article

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  30. Cardiovascular diseases (CVDs) are difficult to diagnose early and have risk factors that are easy to overlook. Early prediction and personalization of treatment through the use of artificial intelligence (AI)...

    Authors: Imjin Ahn, Wonjun Na, Osung Kwon, Dong Hyun Yang, Gyung-Min Park, Hansle Gwon, Hee Jun Kang, Yeon Uk Jeong, Jungsun Yoo, Yunha Kim, Tae Joon Jun and Young-Hak Kim

    Citation: BMC Medical Informatics and Decision Making 2021 21:29

    Content type: Research article

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  31. Prescription medication (PM) misuse/abuse has emerged as a national crisis in the United States, and social media has been suggested as a potential resource for performing active monitoring. However, automatin...

    Authors: Mohammed Ali Al-Garadi, Yuan-Chi Yang, Haitao Cai, Yucheng Ruan, Karen O’Connor, Gonzalez-Hernandez Graciela, Jeanmarie Perrone and Abeed Sarker

    Citation: BMC Medical Informatics and Decision Making 2021 21:27

    Content type: Research article

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  32. Early alarm of hypoglycemia, detection of asymptomatic hypoglycemia, and effective control of blood glucose fluctuation make a great contribution to diabetic treatment. In this study, we designed a multi-level...

    Authors: Xia Yu, Ning Ma, Tao Yang, Yawen Zhang, Qing Miao, Junjun Tao, Hongru Li, Yiming Li and Yehong Yang

    Citation: BMC Medical Informatics and Decision Making 2021 21:22

    Content type: Research article

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  33. Assessment of functional ability, including activities of daily living (ADLs), is a manual process completed by skilled health professionals. In the presented research, an automated decision support tool, the ...

    Authors: Janusz Wojtusiak, Negin Asadzadehzanjani, Cari Levy, Farrokh Alemi and Allison E. Williams

    Citation: BMC Medical Informatics and Decision Making 2021 21:17

    Content type: Research article

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  34. Under the influences of chemotherapy regimens, clinical staging, immunologic expressions and other factors, the survival rates of patients with diffuse large B-cell lymphoma (DLBCL) are different. The accurate...

    Authors: Shuanglong Fan, Zhiqiang Zhao, Hongmei Yu, Lei Wang, Chuchu Zheng, Xueqian Huang, Zhenhuan Yang, Meng Xing, Qing Lu and Yanhong Luo

    Citation: BMC Medical Informatics and Decision Making 2021 21:14

    Content type: Research article

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  35. The patient ranking process for donor lung allocation in the United States is carried out by a classification-based, computerized algorithm, known as the match system. Experts have suggested that a continuous,...

    Authors: Darren E. Stewart, Dallas W. Wood, James B. Alcorn, Erika D. Lease, Michael Hayes, Brett Hauber and Rebecca E. Goff

    Citation: BMC Medical Informatics and Decision Making 2021 21:8

    Content type: Research article

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  36. Cardiovascular disease (CVD) is the leading cause of death in the United States (US). Better cardiovascular health (CVH) is associated with CVD prevention. Predicting future CVH levels may help providers bette...

    Authors: Aixia Guo, Rahmatollah Beheshti, Yosef M. Khan, James R. Langabeer II and Randi E. Foraker

    Citation: BMC Medical Informatics and Decision Making 2021 21:5

    Content type: Research article

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  37. The current COVID-19 pandemic has led to a surge of research activity. While this research provides important insights, the multitude of studies results in an increasing fragmentation of information. To ensure...

    Authors: Julian Sass, Alexander Bartschke, Moritz Lehne, Andrea Essenwanger, Eugenia Rinaldi, Stefanie Rudolph, Kai U. Heitmann, Jörg J. Vehreschild, Christof von Kalle and Sylvia Thun

    Citation: BMC Medical Informatics and Decision Making 2020 20:341

    Content type: Technical advance

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  38. Acute myocardial infarction (AMI) is a serious cardiovascular disease, followed by a high readmission rate within 30-days of discharge. Accurate prediction of AMI readmission is a crucial way to identify the h...

    Authors: Zhen Zhang, Hang Qiu, Weihao Li and Yucheng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:335

    Content type: Research article

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  39. Accurate prediction models for whether patients on the verge of a psychiatric criseis need hospitalization are lacking and machine learning methods may help improve the accuracy of psychiatric hospitalization ...

    Authors: Matthijs Blankers, Louk F. M. van der Post and Jack J. M. Dekker

    Citation: BMC Medical Informatics and Decision Making 2020 20:332

    Content type: Research article

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  40. Healthcare is a rapidly expanding area of application for Artificial Intelligence (AI). Although there is considerable excitement about its potential, there are also substantial concerns about the negative imp...

    Authors: Emma K. Frost and Stacy M. Carter

    Citation: BMC Medical Informatics and Decision Making 2020 20:325

    Content type: Research article

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  41. The impact of adjuvant chemotherapy or radiation therapy on the survival of patients with synovial sarcoma (SS), which is a rare soft-tissue sarcoma, remains controversial. Bayesian statistical approaches and ...

    Authors: Sung Wook Seo, Jisoo Kim, Jihye Son and Sungbin Lim

    Citation: BMC Medical Informatics and Decision Making 2020 20:320

    Content type: Technical advance

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  42. Cognitive assessments represent the most common clinical routine for the diagnosis of Alzheimer’s Disease (AD). Given a large number of cognitive assessment tools and time-limited office visits, it is importan...

    Authors: Bo Peng, Xiaohui Yao, Shannon L. Risacher, Andrew J. Saykin, Li Shen and Xia Ning

    Citation: BMC Medical Informatics and Decision Making 2020 20:319

    Content type: Research article

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  43. The COVID-19 pandemic is a global public health emergency and experts emphasize the need for rapid and a high degree of communication and interaction between all parties, in order for critical research to be i...

    Authors: Njål Andersen, Jørgen G. Bramness and Ingunn Olea Lund

    Citation: BMC Medical Informatics and Decision Making 2020 20:309

    Content type: Research article

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  44. Atrial fibrillation is a type of persistent arrhythmia that can lead to serious complications. Therefore, accurate and quick detection of atrial fibrillation by surface electrocardiogram has great importance o...

    Authors: Yusong Hu, Yantao Zhao, Jihong Liu, Jin Pang, Chen Zhang and Peizhe Li

    Citation: BMC Medical Informatics and Decision Making 2020 20:308

    Content type: Research article

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  45. The broad adoption of electronic health records (EHRs) provides great opportunities to conduct health care research and solve various clinical problems in medicine. With recent advances and success, methods ba...

    Authors: Dongdong Zhang, Changchang Yin, Jucheng Zeng, Xiaohui Yuan and Ping Zhang

    Citation: BMC Medical Informatics and Decision Making 2020 20:280

    Content type: Research article

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  46. The symbiotic interactions that occur between humans and organisms in our environment have a tremendous impact on our health. Recently, there has been a surge in interest in understanding the complex relations...

    Authors: Matthew Diller, Evan Johnson, Amanda Hicks and William R. Hogan

    Citation: BMC Medical Informatics and Decision Making 2020 20:258

    Content type: Research article

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  47. Clinical endpoint prediction remains challenging for health providers. Although predictors such as age, gender, and disease staging are of considerable predictive value, the accuracy often ranges between 60 an...

    Authors: Maliazurina Saad and Ik Hyun Lee

    Citation: BMC Medical Informatics and Decision Making 2020 20:255

    Content type: Research article

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Page 1 of 2

  1. Prediction of influenza weeks in advance can be a useful tool in the management of cases and in the early recognition of pandemic influenza seasons.

    Authors: Linda Moniz, Anna L. Buczak, Ben Baugher, Erhan Guven and Jean-Paul Chretien

    Citation: BMC Medical Informatics and Decision Making 2016 16:134

    Content type: Research article

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  2. Standards, methods, and tools supporting the integration of clinical data and genomic information are an area of significant need and rapid growth in biomedical informatics. Integration of cancer clinical data...

    Authors: Harry Hochheiser, Melissa Castine, David Harris, Guergana Savova and Rebecca S. Jacobson

    Citation: BMC Medical Informatics and Decision Making 2016 16:121

    Content type: Research article

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  3. In an unprecedented rate data in the life sciences is generated and stored in many different databases. An ever increasing part of this data is human health data and therefore falls under data protected by leg...

    Authors: Wolfgang Kuchinke, Christian Krauth, René Bergmann, Töresin Karakoyun, Astrid Woollard, Irene Schluender, Benjamin Braasch, Martin Eckert and Christian Ohmann

    Citation: BMC Medical Informatics and Decision Making 2016 16:81

    Content type: Research article

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  4. Radiology reports are a rich resource for biomedical research. Prior to utilization, trained experts must manually review reports to identify discrete outcomes. The Audiological and Genetic Database (AudGenDB)...

    Authors: Aaron J. Masino, Robert W. Grundmeier, Jeffrey W. Pennington, John A. Germiller and E. Bryan Crenshaw III

    Citation: BMC Medical Informatics and Decision Making 2016 16:65

    Content type: Research article

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  5. Virtual Reality has been extensively used in a wide range of psychological experiments. In this study, we aimed to introduce NeuroVirtual 3D, a platform that clinicians could use free of charge.

    Authors: Pietro Cipresso, Silvia Serino and Giuseppe Riva

    Citation: BMC Medical Informatics and Decision Making 2016 16:37

    Content type: Software

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  6. Poincaré delay maps are widely used in the analysis of cardiac interbeat interval (RR) dynamics. To facilitate visualization of the structure of these time series, we introduce multiscale Poincaré (MSP) plots.

    Authors: Teresa S. Henriques, Sara Mariani, Anton Burykin, Filipa Rodrigues, Tiago F. Silva and Ary L. Goldberger

    Citation: BMC Medical Informatics and Decision Making 2016 16:17

    Content type: Technical advance

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  7. In radiology, a vast amount of diverse data is generated, and unstructured reporting is standard. Hence, much useful information is trapped in free-text form, and often lost in translation and transmission. On...

    Authors: Heiner Oberkampf, Sonja Zillner, James A. Overton, Bernhard Bauer, Alexander Cavallaro, Michael Uder and Matthias Hammon

    Citation: BMC Medical Informatics and Decision Making 2016 16:5

    Content type: Research article

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  8. Epidemics of hand, foot and mouth disease (HFMD) among children in East Asia have been a serious annual public health problem. Previous studies in China and island-type territories in East Asia showed that the...

    Authors: Jia-Hong Tang, Ta-Chien Chan, Mika Shigematsu and Jing-Shiang Hwang

    Citation: BMC Medical Informatics and Decision Making 2015 15:113

    Content type: Research article

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  9. Syndromic management of vaginal infections is known to have poor diagnostic accuracy. Logic regression is a machine-learning procedure which allows for the identification of combinations of variables to predic...

    Authors: Sujit D. Rathod, Tan Li, Jeffrey D. Klausner, Alan Hubbard, Arthur L. Reingold and Purnima Madhivanan

    Citation: BMC Medical Informatics and Decision Making 2015 15:106

    Content type: Research article

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  10. Interoperable phenotyping algorithms, needed to identify patient cohorts meeting eligibility criteria for observational studies or clinical trials, require medical data in a consistent structured, coded format...

    Authors: Jeffrey G. Klann, Lori C. Phillips, Alexander Turchin, Sarah Weiler, Kenneth D. Mandl and Shawn N. Murphy

    Citation: BMC Medical Informatics and Decision Making 2015 15:104

    Content type: Research article

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  11. Estimating the value of medical treatments to patients is an essential part of healthcare decision making, but is mostly done implicitly and without consulting patients. Multi criteria decision analysis (MCDA)...

    Authors: Henk Broekhuizen, Catharina G. M. Groothuis-Oudshoorn, A. Brett Hauber, Jeroen P. Jansen and Maarten J. IJzerman

    Citation: BMC Medical Informatics and Decision Making 2015 15:102

    Content type: Research article

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  12. Collaborative collection and sharing of data have become a core element of biomedical research. Typical applications are multi-site registries which collect sensitive person-related data prospectively, often t...

    Authors: Ronald Lautenschläger, Florian Kohlmayer, Fabian Prasser and Klaus A. Kuhn

    Citation: BMC Medical Informatics and Decision Making 2015 15:100

    Content type: Technical advance

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  13. This paper explores and evaluates the application of classical and dominance-based rough set theory (RST) for the development of data-driven prognostic classification models for hospice referral. In this work,...

    Authors: Eleazar Gil-Herrera, Garrick Aden-Buie, Ali Yalcin, Athanasios Tsalatsanis, Laura E. Barnes and Benjamin Djulbegovic

    Citation: BMC Medical Informatics and Decision Making 2015 15:98

    Content type: Research Article

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  14. The presence of comorbid conditions is strongly related to survival and also affects treatment choices in cancer patients. This comorbidity is often quantified by the Charlson Comorbidity Index (CCI) using spe...

    Authors: Lars Lindhagen, Mieke Van Hemelrijck, David Robinson, Pär Stattin and Hans Garmo

    Citation: BMC Medical Informatics and Decision Making 2015 15:96

    Content type: Research article

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  15. At present, dengue control focuses on reducing the density of the primary vector for the disease, Aedes aegypti, which is the only vulnerable link in the chain of transmission. The use of new approaches for dengu...

    Authors: Ana Carolina C. Costa, Cláudia T. Codeço, Nildimar A. Honório, Gláucio R. Pereira, Carmen Fátima N. Pinheiro and Aline A. Nobre

    Citation: BMC Medical Informatics and Decision Making 2015 15:93

    Content type: Research Article

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  16. Information extraction techniques that get structured representations out of unstructured data make a large amount of clinically relevant information about patients accessible for semantic applications. These ...

    Authors: Martin Toepfer, Hamo Corovic, Georg Fette, Peter Klügl, Stefan Störk and Frank Puppe

    Citation: BMC Medical Informatics and Decision Making 2015 15:91

    Content type: Research Article

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    The Erratum to this article has been published in BMC Medical Informatics and Decision Making 2015 15:103

  17. Predictive models for delayed graft function (DGF) after kidney transplantation are usually developed using logistic regression. We want to evaluate the value of machine learning methods in the prediction of DGF.

    Authors: Alexander Decruyenaere, Philippe Decruyenaere, Patrick Peeters, Frank Vermassen, Tom Dhaene and Ivo Couckuyt

    Citation: BMC Medical Informatics and Decision Making 2015 15:83

    Content type: Research article

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  18. In this study we implemented and developed state-of-the-art machine learning (ML) and natural language processing (NLP) technologies and built a computerized algorithm for medication reconciliation. Our specif...

    Authors: Qi Li, Stephen Andrew Spooner, Megan Kaiser, Nataline Lingren, Jessica Robbins, Todd Lingren, Huaxiu Tang, Imre Solti and Yizhao Ni

    Citation: BMC Medical Informatics and Decision Making 2015 15:37

    Content type: Research article

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  19. Databases of prescription drug purchases are now widely used in pharmacoepidemiologic studies. Several methods have been used to generate drug use periods from drug purchases to investigate various aspects; e....

    Authors: Antti Tanskanen, Heidi Taipale, Marjaana Koponen, Anna-Maija Tolppanen, Sirpa Hartikainen, Riitta Ahonen and Jari Tiihonen

    Citation: BMC Medical Informatics and Decision Making 2015 15:21

    Content type: Research article

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  20. Every year, hundreds of thousands of patients experience treatment failure or adverse drug reactions (ADRs), many of which could be prevented by pharmacogenomic testing. However, the primary knowledge needed f...

    Authors: Matthias Samwald, Jose Antonio Miñarro Giménez, Richard D Boyce, Robert R Freimuth, Klaus-Peter Adlassnig and Michel Dumontier

    Citation: BMC Medical Informatics and Decision Making 2015 15:12

    Content type: Research article

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  21. Multi-category response models are very important complements to binary logistic models in medical decision-making. Decomposing model construction by aggregating computation developed at different sites is nec...

    Authors: Yuan Wu, Xiaoqian Jiang, Shuang Wang, Wenchao Jiang, Pinghao Li and Lucila Ohno-Machado

    Citation: BMC Medical Informatics and Decision Making 2015 15:10

    Content type: Research article

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  22. For researchers and public health agencies, the complexity of high–dimensional spatio–temporal data in surveillance for large reporting networks presents numerous challenges, which include low signal–to–noise ...

    Authors: Jian Zou, Alan F Karr, Gauri Datta, James Lynch and Shaun Grannis

    Citation: BMC Medical Informatics and Decision Making 2014 14:108

    Content type: Research Article

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  23. The ultimate ambient-intelligent care room contains numerous sensors and devices to monitor the patient, sense and adjust the environment and support the staff. This sensor-based approach results in a large am...

    Authors: Femke Ongenae, Jeroen Famaey, Stijn Verstichel, Saar De Zutter, Steven Latré, Ann Ackaert, Piet Verhoeve and Filip De Turck

    Citation: BMC Medical Informatics and Decision Making 2014 14:97

    Content type: Research article

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  24. Using Monte Carlo simulations, we compare different methods (maximizing Youden index, maximizing mutual information, and logistic regression) for their ability to determine optimum binary cut-off thresholds fo...

    Authors: Gilbert Reibnegger and Walter Schrabmair

    Citation: BMC Medical Informatics and Decision Making 2014 14:99

    Content type: Research article

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  25. To undertake a systematic review of existing literature relating to speech recognition technology and its application within health care.

    Authors: Maree Johnson, Samuel Lapkin, Vanessa Long, Paula Sanchez, Hanna Suominen, Jim Basilakis and Linda Dawson

    Citation: BMC Medical Informatics and Decision Making 2014 14:94

    Content type: Research article

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  26. Narrative resources in electronic health records make clinical phenotyping study difficult to achieve. If a narrative patient history can be represented in a timeline, this would greatly enhance the efficiency...

    Authors: Heekyong Park and Jinwook Choi

    Citation: BMC Medical Informatics and Decision Making 2014 14:90

    Content type: Research article

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  27. Length-of-stay prediction for cardiac surgery patients is a key point for medical management issues, such as optimization of resources in intensive care units and operating room scheduling. Scoring systems are...

    Authors: Paolo Barbini, Emanuela Barbini, Simone Furini and Gabriele Cevenini

    Citation: BMC Medical Informatics and Decision Making 2014 14:89

    Content type: Correspondence

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  28. Accurate prediction of adverse drug events (ADEs) is an important means of controlling and reducing drug-related morbidity and mortality. Since no single “gold standard” ADE data set exists, a range of differe...

    Authors: Aurel Cami and Ben Y Reis

    Citation: BMC Medical Informatics and Decision Making 2014 14:74

    Content type: Research article

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  29. Numerous information models for electronic health records, such as openEHR archetypes are available. The quality of such clinical models is important to guarantee standardised semantics and to facilitate their...

    Authors: Michael Braun, Alexander Ulrich Brandt, Stefan Schulz and Martin Boeker

    Citation: BMC Medical Informatics and Decision Making 2014 14:64

    Content type: Research article

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  30. Estimating the optimal threshold (and especially the confidence interval) of a quantitative biomarker to be used as a diagnostic test is essential for medical decision-making. This is often done with simple me...

    Authors: Fabien Subtil and Muriel Rabilloud

    Citation: BMC Medical Informatics and Decision Making 2014 14:53

    Content type: Research article

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  31. To demonstrate that subject selection based on sufficient laboratory results and medication orders in electronic health records can be biased towards sick patients.

    Authors: Alexander Rusanov, Nicole G Weiskopf, Shuang Wang and Chunhua Weng

    Citation: BMC Medical Informatics and Decision Making 2014 14:51

    Content type: Research article

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  32. Hospital-based Emergency Departments are struggling to provide timely care to a steadily increasing number of unscheduled ED visits. Dwindling compensation and rising ED closures dictate that meeting this chal...

    Authors: Joshua E Hurwitz, Jo Ann Lee, Kenneth K Lopiano, Scott A McKinley, James Keesling and Joseph A Tyndall

    Citation: BMC Medical Informatics and Decision Making 2014 14:50

    Content type: Research article

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  33. Claims data has usually been used in recent studies to identify cases of healthcare-associated infection. However, several studies have indicated that the ICD-9-CM codes might be inappropriate for identifying ...

    Authors: Tsung-Hsien Yu, Yu-Chang Hou, Kuan-Chia Lin and Kuo-Piao Chung

    Citation: BMC Medical Informatics and Decision Making 2014 14:42

    Content type: Research article

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  34. The aim of this study was to propose an analytical approach to develop high-performing predictive models for congestive heart failure (CHF) readmission using an operational dataset with incomplete records and ...

    Authors: Samir E AbdelRahman, Mingyuan Zhang, Bruce E Bray and Kensaku Kawamoto

    Citation: BMC Medical Informatics and Decision Making 2014 14:41

    Content type: Research article

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  35. Extracting cardiorespiratory signals from non-invasive and non-contacting sensor arrangements, i.e. magnetic induction sensors, is a challenging task. The respiratory and cardiac signals are mixed on top of a ...

    Authors: Jerome Foussier, Daniel Teichmann, Jing Jia, Berno Misgeld and Steffen Leonhardt

    Citation: BMC Medical Informatics and Decision Making 2014 14:37

    Content type: Technical advance

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  36. Approximately one-third of those treated curatively for colorectal cancer (CRC) will experience recurrence. No evidence-based consensus exists on how best to follow patients after initial treatment to detect a...

    Authors: Johnie Rose, Knut Magne Augestad, Chung Yin Kong, Neal J Meropol, Michael W Kattan, Qingqing Hong, Xuebei An and Gregory S Cooper

    Citation: BMC Medical Informatics and Decision Making 2014 14:29

    Content type: Research article

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  37. To investigate whether factors can be identified that significantly affect hospital length of stay from those available in an electronic patient record system, using primary total knee replacements as an examp...

    Authors: Evelene M Carter and Henry WW Potts

    Citation: BMC Medical Informatics and Decision Making 2014 14:26

    Content type: Research article

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  38. With the rapid development of “-omic” technologies, an increasing number of purported biomarkers have been identified for cancer and other diseases. The process of identifying those that are most promising and...

    Authors: Xiaohong Li, Patricia L Blount, Brian J Reid and Thomas L Vaughan

    Citation: BMC Medical Informatics and Decision Making 2014 14:15

    Content type: Correspondence

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  39. Pharmacovigilance aims to uncover and understand harmful side-effects of drugs, termed adverse events (AEs). Although the current process of pharmacovigilance is very systematic, the increasing amount of infor...

    Authors: SriJyothsna Yeleswarapu, Aditya Rao, Thomas Joseph, Vangala Govindakrishnan Saipradeep and Rajgopal Srinivasan

    Citation: BMC Medical Informatics and Decision Making 2014 14:13

    Content type: Research article

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  40. Unstable Angina (UA) is widely accepted as a critical phase of coronary heart disease with patients exhibiting widely varying risks. Early risk assessment of UA is at the center of the management program, whic...

    Authors: Wei Dong, Zhengxing Huang, Lei Ji and Huilong Duan

    Citation: BMC Medical Informatics and Decision Making 2014 14:12

    Content type: Research article

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  41. Physiologic signals, such as cardiac interbeat intervals, exhibit complex fluctuations. However, capturing important dynamical properties, including nonstationarities may not be feasible from conventional time...

    Authors: Anton Burykin, Madalena D Costa, Luca Citi and Ary L Goldberger

    Citation: BMC Medical Informatics and Decision Making 2014 14:6

    Content type: Technical advance

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  42. Open-angle glaucoma (OAG) is a prevalent, degenerate ocular disease which can lead to blindness without proper clinical management. The tests used to assess disease progression are susceptible to process and m...

    Authors: Greggory J Schell, Mariel S Lavieri, Joshua D Stein and David C Musch

    Citation: BMC Medical Informatics and Decision Making 2013 13:137

    Content type: Research article

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  43. The necessity to translate eligibility criteria from free text into decision rules that are compatible with data from the electronic health record (EHR) constitutes the main challenge when developing and deplo...

    Authors: Felix Köpcke, Dorota Lubgan, Rainer Fietkau, Axel Scholler, Carla Nau, Michael Stürzl, Roland Croner, Hans-Ulrich Prokosch and Dennis Toddenroth

    Citation: BMC Medical Informatics and Decision Making 2013 13:134

    Content type: Research article

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  44. Predictive tools are already being implemented to assist in Emergency Department bed management by forecasting the expected total volume of patients. Yet these tools are unable to detect and diagnose when esti...

    Authors: Sarah Bolt and Ross Sparks

    Citation: BMC Medical Informatics and Decision Making 2013 13:132

    Content type: Research article

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  45. With the increasing burden of chronic diseases, analyzing and understanding trajectories of care is essential for efficient planning and fair allocation of resources. We propose an approach based on mining cla...

    Authors: Nicolas Jay, Gilles Nuemi, Maryse Gadreau and Catherine Quantin

    Citation: BMC Medical Informatics and Decision Making 2013 13:130

    Content type: Research article

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  46. Recently, claim-data-based comorbidity-adjusted methods such as the Charlson index and the Elixhauser comorbidity measures have been widely used among researchers. At the same time, there have been an increasi...

    Authors: Ji Hwan Bang, Soo-Hee Hwang, Eun-Jung Lee and Yoon Kim

    Citation: BMC Medical Informatics and Decision Making 2013 13:128

    Content type: Research article

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  47. There are dilemmas associated with the diagnosis and prognosis of prostate cancer which has lead to over diagnosis and over treatment. Prediction tools have been developed to assist the treatment of the disease.

    Authors: Susie Boyce, Yue Fan, Ronald William Watson and Thomas Brendan Murphy

    Citation: BMC Medical Informatics and Decision Making 2013 13:126

    Content type: Research article

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  48. Breast cancer is one of the most critical cancers and is a major cause of cancer death among women. It is essential to know the survivability of the patients in order to ease the decision making process regard...

    Authors: Kung-Jeng Wang, Bunjira Makond and Kung-Min Wang

    Citation: BMC Medical Informatics and Decision Making 2013 13:124

    Content type: Research article

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  49. Lymph node metastasis (LNM) in gastric cancer is a very important prognostic factor affecting long-term survival. Currently, several common imaging techniques are used to evaluate the lymph node status. Howeve...

    Authors: Zhi-Guo Zhou, Fang Liu, Li-Cheng Jiao, Zhi-Long Wang, Xiao-Peng Zhang, Xiao-Dong Wang and Xiao-Zhuo Luo

    Citation: BMC Medical Informatics and Decision Making 2013 13:123

    Content type: Technical advance

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