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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.

Page 1 of 2

  1. Stroke severity is an important predictor of patient outcomes and is commonly measured with the National Institutes of Health Stroke Scale (NIHSS) scores. Because these scores are often recorded as free text i...

    Authors: Emily Kogan, Kathryn Twyman, Jesse Heap, Dejan Milentijevic, Jennifer H. Lin and Mark Alberts

    Citation: BMC Medical Informatics and Decision Making 2020 20:8

    Content type: Research article

    Published on:

  2. The ubiquity of electronic health records (EHR) offers an opportunity to observe trajectories of laboratory results and vital signs over long periods of time. This study assessed the value of risk factor traje...

    Authors: Gyorgy J. Simon, Kevin A. Peterson, M. Regina Castro, Michael S. Steinbach, Vipin Kumar and Pedro J. Caraballo

    Citation: BMC Medical Informatics and Decision Making 2020 20:6

    Content type: Research article

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  3. To examine the association between the medical imaging utilization and information related to patients’ socioeconomic, demographic and clinical factors during the patients’ ED visits; and to develop predictive...

    Authors: Xingyu Zhang, M. Fernanda Bellolio, Pau Medrano-Gracia, Konrad Werys, Sheng Yang and Prashant Mahajan

    Citation: BMC Medical Informatics and Decision Making 2019 19:287

    Content type: Research article

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  4. Fetal heart rate (FHR) monitoring is a screening tool used by obstetricians to evaluate the fetal state. Because of the complexity and non-linearity, a visual interpretation of FHR signals using common guideli...

    Authors: Zhidong Zhao, Yanjun Deng, Yang Zhang, Yefei Zhang, Xiaohong Zhang and Lihuan Shao

    Citation: BMC Medical Informatics and Decision Making 2019 19:286

    Content type: Research article

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  5. Supervised machine learning algorithms have been a dominant method in the data mining field. Disease prediction using health data has recently shown a potential application area for these methods. This study a...

    Authors: Shahadat Uddin, Arif Khan, Md Ekramul Hossain and Mohammad Ali Moni

    Citation: BMC Medical Informatics and Decision Making 2019 19:281

    Content type: Research article

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  6. Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study...

    Authors: Austin J. Brockmeier, Meizhi Ju, Piotr Przybyła and Sophia Ananiadou

    Citation: BMC Medical Informatics and Decision Making 2019 19:256

    Content type: Technical Advance

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  7. The successful introduction of homomorphic encryption (HE) in clinical research holds promise for improving acceptance of data-sharing protocols, increasing sample sizes, and accelerating learning from real-wo...

    Authors: Silvia Paddock, Hamed Abedtash, Jacqueline Zummo and Samuel Thomas

    Citation: BMC Medical Informatics and Decision Making 2019 19:255

    Content type: Research article

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  8. This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, ...

    Authors: Simon Geletta, Lendie Follett and Marcia Laugerman

    Citation: BMC Medical Informatics and Decision Making 2019 19:242

    Content type: Research article

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  9. Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the applicati...

    Authors: Min Ju Kang, Sang Yun Kim, Duk L. Na, Byeong C. Kim, Dong Won Yang, Eun-Joo Kim, Hae Ri Na, Hyun Jeong Han, Jae-Hong Lee, Jong Hun Kim, Kee Hyung Park, Kyung Won Park, Seol-Heui Han, Seong Yoon Kim, Soo Jin Yoon, Bora Yoon…

    Citation: BMC Medical Informatics and Decision Making 2019 19:231

    Content type: Research article

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  10. Demographic changes, increased life expectancy and the associated rise in chronic diseases pose challenges to public health care systems. Optimized treatment methods and integrated concepts of care are potenti...

    Authors: Alexander Lassnig, Theresa Rienmueller, Diether Kramer, Werner Leodolter, Christian Baumgartner and Joerg Schroettner

    Citation: BMC Medical Informatics and Decision Making 2019 19:229

    Content type: Research article

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  11. Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes....

    Authors: Tianrun Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai and Katherine P. Liao

    Citation: BMC Medical Informatics and Decision Making 2019 19:226

    Content type: Software

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  12. The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient dat...

    Authors: Yue You, Svetlana V. Doubova, Diana Pinto-Masis, Ricardo Pérez-Cuevas, Víctor Hugo Borja-Aburto and Alan Hubbard

    Citation: BMC Medical Informatics and Decision Making 2019 19:221

    Content type: Research article

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  13. The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media pl...

    Authors: Jia Rong, Sandra Michalska, Sudha Subramani, Jiahua Du and Hua Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:208

    Content type: Research Article

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  14. The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better metho...

    Authors: V. Laengsri, W. Shoombuatong, W. Adirojananon, C. Nantasenamat, V. Prachayasittikul and P. Nuchnoi

    Citation: BMC Medical Informatics and Decision Making 2019 19:212

    Content type: Technical advance

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:228

  15. For an effective artificial pancreas (AP) system and an improved therapeutic intervention with continuous glucose monitoring (CGM), predicting the occurrence of hypoglycemia accurately is very important. While...

    Authors: Wonju Seo, You-Bin Lee, Seunghyun Lee, Sang-Man Jin and Sung-Min Park

    Citation: BMC Medical Informatics and Decision Making 2019 19:210

    Content type: Research Article

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  16. Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of...

    Authors: Brook Tesfaye, Suleman Atique, Tariq Azim and Mihiretu M. Kebede

    Citation: BMC Medical Informatics and Decision Making 2019 19:209

    Content type: Research article

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  17. The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990–201...

    Authors: Kwang-Sig Lee, Sunghoon Jung, Yeongjoon Gil and Ho Sung Son

    Citation: BMC Medical Informatics and Decision Making 2019 19:206

    Content type: Research article

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  18. Time of death estimation in humans for the benefit of forensic medicine has been successfully approached by Henssge, who modelled body cooling based on measurements of Marshall and Hoare. Thereby, body and amb...

    Authors: Wolf Schweitzer and Michael J. Thali

    Citation: BMC Medical Informatics and Decision Making 2019 19:201

    Content type: Technical Advance

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  19. Breast cancer causes hundreds of thousands of deaths each year worldwide. The early stage diagnosis and treatment can significantly reduce the mortality rate. However, the traditional manual diagnosis needs in...

    Authors: Chuang Zhu, Fangzhou Song, Ying Wang, Huihui Dong, Yao Guo and Jun Liu

    Citation: BMC Medical Informatics and Decision Making 2019 19:198

    Content type: Research Article

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  20. Several heart failure (HF) risk models exist, however, most of them perform poorly when applied to real-world situations. This study aimed to develop a convenient and efficient risk model to identify patients ...

    Authors: Bo-yu Tan, Jun-yuan Gu, Hong-yan Wei, Li Chen, Su-lan Yan and Nan Deng

    Citation: BMC Medical Informatics and Decision Making 2019 19:193

    Content type: Research article

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  21. Manual coding of phenotypes in brain radiology reports is time consuming. We developed a natural language processing (NLP) algorithm to enable automatic identification of brain imaging in radiology reports per...

    Authors: Emily Wheater, Grant Mair, Cathie Sudlow, Beatrice Alex, Claire Grover and William Whiteley

    Citation: BMC Medical Informatics and Decision Making 2019 19:184

    Content type: Research article

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  22. The collection of data and biospecimens which characterize patients and probands in-depth is a core element of modern biomedical research. Relevant data must be considered highly sensitive and it needs to be p...

    Authors: Florian Kohlmayer, Ronald Lautenschläger and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2019 19:178

    Content type: Debate

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  23. Feelings of depression can be caused by negative life events (NLE) such as the death of a family member, a quarrel with one’s spouse, job loss, or strong criticism from an authority figure. The automatic and a...

    Authors: Jheng-Long Wu, Xiang Xiao, Liang-Chih Yu, Shao-Zhen Ye and K. Robert Lai

    Citation: BMC Medical Informatics and Decision Making 2019 19:173

    Content type: Technical advance

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  24. A substantial proportion of microbiological screening in diagnostic laboratories is due to suspected urinary tract infections (UTIs), yet approximately two thirds of urine samples typically yield negative cult...

    Authors: Ross J. Burton, Mahableshwar Albur, Matthias Eberl and Simone M. Cuff

    Citation: BMC Medical Informatics and Decision Making 2019 19:171

    Content type: Research article

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  25. Identifying individuals who are unlikely to adhere to a physical exercise regime has potential to improve physical activity interventions. The aim of this paper is to develop and test adherence prediction mode...

    Authors: Mo Zhou, Yoshimi Fukuoka, Ken Goldberg, Eric Vittinghoff and Anil Aswani

    Citation: BMC Medical Informatics and Decision Making 2019 19:169

    Content type: Research article

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  26. The increasing use of common data elements (CDEs) in numerous research projects and clinical applications has made it imperative to create an effective classification scheme for the efficient management of the...

    Authors: Hye Hyeon Kim, Yu Rang Park, Kye Hwa Lee, Young Soo Song and Ju Han Kim

    Citation: BMC Medical Informatics and Decision Making 2019 19:166

    Content type: Technical advance

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  27. Machine learning has been used extensively in clinical text classification tasks. Deep learning approaches using word embeddings have been recently gaining momentum in biomedical applications. In an effort to ...

    Authors: Jihad S. Obeid, Erin R. Weeda, Andrew J. Matuskowitz, Kevin Gagnon, Tami Crawford, Christine M. Carr and Lewis J. Frey

    Citation: BMC Medical Informatics and Decision Making 2019 19:164

    Content type: Research article

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  28. Imaging examinations, such as ultrasonography, magnetic resonance imaging and computed tomography scans, play key roles in healthcare settings. To assess and improve the quality of imaging diagnosis, we need t...

    Authors: Tao Zheng, Yimei Gao, Fei Wang, Chenhao Fan, Xingzhi Fu, Mei Li, Ya Zhang, Shaodian Zhang and Handong Ma

    Citation: BMC Medical Informatics and Decision Making 2019 19:156

    Content type: Research article

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  29. Identifying implausible clinical observations (e.g., laboratory test and vital sign values) in Electronic Health Record (EHR) data using rule-based procedures is challenging. Anomaly/outlier detection methods ...

    Authors: Hossein Estiri, Jeffrey G. Klann and Shawn N. Murphy

    Citation: BMC Medical Informatics and Decision Making 2019 19:142

    Content type: Technical advance

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  30. With the advancement of powerful image processing and machine learning techniques, Computer Aided Diagnosis has become ever more prevalent in all fields of medicine including ophthalmology. These methods conti...

    Authors: Muhammad Naseer Bajwa, Muhammad Imran Malik, Shoaib Ahmed Siddiqui, Andreas Dengel, Faisal Shafait, Wolfgang Neumeier and Sheraz Ahmed

    Citation: BMC Medical Informatics and Decision Making 2019 19:136

    Content type: Research article

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    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:153

  31. This paper presents a conditional random fields (CRF) method that enables the capture of specific high-order label transition factors to improve clinical named entity recognition performance. Consecutive clini...

    Authors: Wangjin Lee and Jinwook Choi

    Citation: BMC Medical Informatics and Decision Making 2019 19:132

    Content type: Technical advance

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  32. High utilizers receive great attention in health care research because they have a largely disproportionate spending. Existing analyses usually identify high utilizers with an empirical threshold on the number...

    Authors: Chengliang Yang, Chris Delcher, Elizabeth Shenkman and Sanjay Ranka

    Citation: BMC Medical Informatics and Decision Making 2019 19:131

    Content type: Research article

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  33. Dementia is underdiagnosed in both the general population and among Veterans. This underdiagnosis decreases quality of life, reduces opportunities for interventions, and increases health-care costs. New approa...

    Authors: Yijun Shao, Qing T. Zeng, Kathryn K. Chen, Andrew Shutes-David, Stephen M. Thielke and Debby W. Tsuang

    Citation: BMC Medical Informatics and Decision Making 2019 19:128

    Content type: Research article

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  34. A verbal autopsy (VA) is a post-hoc written interview report of the symptoms preceding a person’s death in cases where no official cause of death (CoD) was determined by a physician. Current leading automated ...

    Authors: Serena Jeblee, Mireille Gomes, Prabhat Jha, Frank Rudzicz and Graeme Hirst

    Citation: BMC Medical Informatics and Decision Making 2019 19:127

    Content type: Research article

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  35. Administrative health records (AHRs) and electronic medical records (EMRs) are two key sources of population-based data for disease surveillance, but misclassification errors in the data can bias disease estim...

    Authors: Saeed Al-Azazi, Alexander Singer, Rasheda Rabbani and Lisa M. Lix

    Citation: BMC Medical Informatics and Decision Making 2019 19:120

    Content type: Research article

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  36. Most healthcare data sources store information within their own unique schemas, making reliable and reproducible research challenging. Consequently, researchers have adopted various data models to improve the ...

    Authors: Mark D. Danese, Marc Halperin, Jennifer Duryea and Ryan Duryea

    Citation: BMC Medical Informatics and Decision Making 2019 19:117

    Content type: Technical advance

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  37. In many low and middle-income countries (LMICs), difficulties in patient identification are a major obstacle to the delivery of longitudinal care. In absence of unique identifiers, biometrics have emerged as a...

    Authors: Lauren P. Etter, Elizabeth J. Ragan, Rachael Campion, David Martinez and Christopher J. Gill

    Citation: BMC Medical Informatics and Decision Making 2019 19:114

    Content type: Technical advance

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  38. Numerous patients suffer from chronic wounds and wound infections nowadays. Until now, the care for wounds after surgery still remain a tedious and challenging work for the medical personnel and patients. As ...

    Authors: Jui-Tse Hsu, Yung-Wei Chen, Te-Wei Ho, Hao-Chih Tai, Jin-Ming Wu, Hsin-Yun Sun, Chi-Sheng Hung, Yi-Chong Zeng, Sy-Yen Kuo and Feipei Lai

    Citation: BMC Medical Informatics and Decision Making 2019 19:99

    Content type: Research article

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  39. Assessing risks of bias in randomized controlled trials (RCTs) is an important but laborious task when conducting systematic reviews. RobotReviewer (RR), an open-source machine learning (ML) system, semi-autom...

    Authors: Frank Soboczenski, Thomas A. Trikalinos, Joël Kuiper, Randolph G. Bias, Byron C. Wallace and Iain J. Marshall

    Citation: BMC Medical Informatics and Decision Making 2019 19:96

    Content type: Research article

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  40. The gateway hypothesis (and particularly the prediction of developmental stages in drug abuse) has been a subject of protracted debate since the 1970s. Extensive research has gone into this subject, but has yi...

    Authors: Phillip C. S. R. Kilgore, Nadejda Korneeva, Thomas C. Arnold, Marjan Trutschl and Urška Cvek

    Citation: BMC Medical Informatics and Decision Making 2019 19:87

    Content type: Software

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  41. COPD is a highly heterogeneous disease composed of different phenotypes with different aetiological and prognostic profiles and current classification systems do not fully capture this heterogeneity. In this s...

    Authors: Maria Pikoula, Jennifer Kathleen Quint, Francis Nissen, Harry Hemingway, Liam Smeeth and Spiros Denaxas

    Citation: BMC Medical Informatics and Decision Making 2019 19:86

    Content type: Research article

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  42. Breast cancer is one of the most common diseases in women worldwide. Many studies have been conducted to predict the survival indicators, however most of these analyses were predominantly performed using basic...

    Authors: Mogana Darshini Ganggayah, Nur Aishah Taib, Yip Cheng Har, Pietro Lio and Sarinder Kaur Dhillon

    Citation: BMC Medical Informatics and Decision Making 2019 19:48

    Content type: Research article

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  43. Heterogeneous healthcare instance data can hardly be integrated without harmonizing its schema-level metadata. Many medical research projects and organizations use metadata repositories to edit, store and reus...

    Authors: H. Ulrich, J. Kern, D. Tas, A. K. Kock-Schoppenhauer, F. Ückert, J. Ingenerf and M. Lablans

    Citation: BMC Medical Informatics and Decision Making 2019 19:45

    Content type: Software

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  44. Clinical data synthesis aims at generating realistic data for healthcare research, system implementation and training. It protects patient confidentiality, deepens our understanding of the complexity in health...

    Authors: Junqiao Chen, David Chun, Milesh Patel, Epson Chiang and Jesse James

    Citation: BMC Medical Informatics and Decision Making 2019 19:44

    Content type: Research article

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  45. Medications are frequently used for treating schizophrenia, however, anti-psychotic drug use is known to lead to cases of pneumonia. The purpose of our study is to build a model for predicting hospital-acquire...

    Authors: Kuang Ming Kuo, Paul C. Talley, Chi Hsien Huang and Liang Chih Cheng

    Citation: BMC Medical Informatics and Decision Making 2019 19:42

    Content type: Research article

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  46. Services for the preclinical development and evaluation of cardiovascular implant devices (CVIDs) is a new industry. However, there is still no indicator system for quality evaluation. Our aim is to construct ...

    Authors: Yongchun Cui, Fuliang Luo, Boqing Yang, Bin Li, Qi Zhang, Gopika Das, Guangxin Yue, Jiajie Li, Yue Tang and Xin Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:37

    Content type: Research article

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  47. Life expectancy is one of the most important factors in end-of-life decision making. Good prognostication for example helps to determine the course of treatment and helps to anticipate the procurement of healt...

    Authors: Merijn Beeksma, Suzan Verberne, Antal van den Bosch, Enny Das, Iris Hendrickx and Stef Groenewoud

    Citation: BMC Medical Informatics and Decision Making 2019 19:36

    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

    Published on:

    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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

  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

    Published on:

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