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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. Clinically, doctors obtain the left ventricular posterior wall thickness (LVPWT) mainly by observing ultrasonic echocardiographic video stream to capture a single frame of images with diagnostic significance, ...

    Authors: Zini Jian, Xianpei Wang, Jingzhe Zhang, Xinyu Wang and Youbin Deng

    Citation: BMC Medical Informatics and Decision Making 2020 20:243

    Content type: Research article

    Published on:

  2. Acute Kidney Injury (AKI) is a shared complication among Intensive Care Unit (ICU), marked by high cost, high morbidity and high mortality. As the early prediction of AKI is critical for patients’ outcomes and...

    Authors: Yuan Wang, Yake Wei, Hao Yang, Jingwei Li, Yubo Zhou and Qin Wu

    Citation: BMC Medical Informatics and Decision Making 2020 20:238

    Content type: Research article

    Published on:

  3. Accurate forecasting of medical service demand is beneficial for the reasonable healthcare resource planning and allocation. The daily outpatient volume is characterized by randomness, periodicity and trend, a...

    Authors: Yihuai Huang, Chao Xu, Mengzhong Ji, Wei Xiang and Da He

    Citation: BMC Medical Informatics and Decision Making 2020 20:237

    Content type: Research article

    Published on:

  4. The diagnosis between benign and malignant gallbladder lesions is sometimes difficult. The objective of this study is to assess whether contrast-enhanced ultrasound (CEUS) and contrast-enhanced harmonic endosc...

    Authors: Xue Liang and Xiang Jing

    Citation: BMC Medical Informatics and Decision Making 2020 20:235

    Content type: Research article

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  5. Despite focus on preventing 30-day readmissions, early readmissions (within 7 days of discharge) may be more preventable than later readmissions (8–30 days). We assessed how well a previously validated 30-day ...

    Authors: Sameh N. Saleh, Anil N. Makam, Ethan A. Halm and Oanh Kieu Nguyen

    Citation: BMC Medical Informatics and Decision Making 2020 20:227

    Content type: Research article

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  6. Accurately determining the softness level of pituitary tumors preoperatively by using their image textures can provide a basis for surgical options and prognosis. Existing methods for this problem require manu...

    Authors: Hong Zhu, Qianhao Fang, Yihe Huang and Kai Xu

    Citation: BMC Medical Informatics and Decision Making 2020 20:215

    Content type: Research article

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  7. Automated systems that use machine learning to estimate a patient’s risk of death are being developed to influence care. There remains sparse transparent reporting of model generalizability in different subpop...

    Authors: Vincent J. Major and Yindalon Aphinyanaphongs

    Citation: BMC Medical Informatics and Decision Making 2020 20:214

    Content type: Research article

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  8. The onset of silent diseases such as type 2 diabetes is often registered through self-report in large prospective cohorts. Self-reported outcomes are cost-effective; however, they are subject to error. Diagnos...

    Authors: Xiangdong Gu, Mahlet G Tadesse, Andrea S Foulkes, Yunsheng Ma and Raji Balasubramanian

    Citation: BMC Medical Informatics and Decision Making 2020 20:212

    Content type: Research article

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  9. Multi-drug intravenous (IV) therapy is one of the most common medical procedures used in intensive care units (ICUs), operating rooms, oncology wards and many other hospital departments worldwide. As drugs or ...

    Authors: Frank Doesburg, Roy Oelen, Maurits H. Renes, Wouter Bult, Daan J. Touw and Maarten W. Nijsten

    Citation: BMC Medical Informatics and Decision Making 2020 20:206

    Content type: Research article

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  10. Knowledge discovery from breast cancer treatment records has promoted downstream clinical studies such as careflow mining and therapy analysis. However, the clinical treatment text from electronic health data ...

    Authors: Yang An, Jianlin Wang, Liang Zhang, Hanyu Zhao, Zhan Gao, Haitao Huang, Zhenguang Du, Zengtao Jiao, Jun Yan, Xiaopeng Wei and Bo Jin

    Citation: BMC Medical Informatics and Decision Making 2020 20:204

    Content type: Technical advance

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  11. Patient distances can be calculated based on signs and symptoms derived from an ontological hierarchy. There is controversy as to whether patient distance metrics that consider the semantic similarity between ...

    Authors: Daniel B. Hier, Jonathan Kopel, Steven U. Brint, Donald C. Wunsch II, Gayla R. Olbricht, Sima Azizi and Blaine Allen

    Citation: BMC Medical Informatics and Decision Making 2020 20:203

    Content type: Research article

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  12. Methods of data mining and analytics can be efficiently applied in medicine to develop models that use patient-specific data to predict the development of diabetic polyneuropathy. However, there is room for im...

    Authors: Oleg Metsker, Kirill Magoev, Alexey Yakovlev, Stanislav Yanishevskiy, Georgy Kopanitsa, Sergey Kovalchuk and Valeria V. Krzhizhanovskaya

    Citation: BMC Medical Informatics and Decision Making 2020 20:201

    Content type: Research article

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  13. Diabetes mellitus is a major global health issue with a growing prevalence. In this context, the number of diabetic complications is also on the rise, such as diabetic foot ulcers (DFU), which are closely link...

    Authors: Jens Hüsers, Guido Hafer, Jan Heggemann, Stefan Wiemeyer, Swen Malte John and Ursula Hübner

    Citation: BMC Medical Informatics and Decision Making 2020 20:200

    Content type: Research article

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  14. Surgical resection of pheochromocytoma may lead to high risk factors for intraoperative hemodynamic instability (IHD), which can be life-threatening. This study aimed to investigate the risk factors that could...

    Authors: Yueyang Zhao, Li Fang, Lei Cui and Song Bai

    Citation: BMC Medical Informatics and Decision Making 2020 20:165

    Content type: Research article

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  15. One of the most challenging tasks for bladder cancer diagnosis is to histologically differentiate two early stages, non-invasive Ta and superficially invasive T1, the latter of which is associated with a signi...

    Authors: Peng-Nien Yin, Kishan KC, Shishi Wei, Qi Yu, Rui Li, Anne R. Haake, Hiroshi Miyamoto and Feng Cui

    Citation: BMC Medical Informatics and Decision Making 2020 20:162

    Content type: Research article

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  16. The healthcare sector is an interesting target for fraudsters. The availability of a great amount of data makes it possible to tackle this issue with the adoption of data mining techniques, making the auditing...

    Authors: Michela Carlotta Massi, Francesca Ieva and Emanuele Lettieri

    Citation: BMC Medical Informatics and Decision Making 2020 20:160

    Content type: Technical advance

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  17. Various methods based on k-anonymity have been proposed for publishing medical data while preserving privacy. However, the k-anonymity property assumes that adversaries possess fixed background knowledge. Althoug...

    Authors: Hyukki Lee and Yon Dohn Chung

    Citation: BMC Medical Informatics and Decision Making 2020 20:155

    Content type: Research article

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  18. For real-time monitoring of hospital patients, high-quality inference of patients’ health status using all information available from clinical covariates and lab test results is essential to enable successful ...

    Authors: Li-Fang Cheng, Bianca Dumitrascu, Gregory Darnell, Corey Chivers, Michael Draugelis, Kai Li and Barbara E Engelhardt

    Citation: BMC Medical Informatics and Decision Making 2020 20:152

    Content type: Technical Advance

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  19. Semantic interoperability is essential for improving data quality and sharing. The ISO/IEC 11179 Metadata Registry (MDR) standard has been highlighted as a solution for standardizing and registering clinical d...

    Authors: Hye Hyeon Kim, Yu Rang Park, Suehyun Lee and Ju Han Kim

    Citation: BMC Medical Informatics and Decision Making 2020 20:147

    Content type: Technical advance

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  20. As a kind of widely distributed disease in China, acquired immune deficiency syndrome (AIDS) has been quickly growing each year, become a serious problem and caused serious damage to the life and health of peo...

    Authors: Zeming Li and Yanning Li

    Citation: BMC Medical Informatics and Decision Making 2020 20:143

    Content type: Research article

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  21. Transient ischemic attack (TIA) is a brief episode of neurological dysfunction resulting from cerebral ischemia not associated with permanent cerebral infarction. TIA is associated with high diagnostic errors ...

    Authors: Alia Stanciu, Mihai Banciu, Alireza Sadighi, Kyle A. Marshall, Neil R. Holland, Vida Abedi and Ramin Zand

    Citation: BMC Medical Informatics and Decision Making 2020 20:112

    Content type: Research article

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  22. The essential proteins in protein networks play an important role in complex cellular functions and in protein evolution. Therefore, the identification of essential proteins in a network can help to explain th...

    Authors: Caiyan Dai, Ju He, Kongfa Hu and Youwei Ding

    Citation: BMC Medical Informatics and Decision Making 2020 20:110

    Content type: Research article

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  23. Predictive patient stratification is greatly emerging, because it allows us to prospectively identify which patients will benefit from what interventions before their condition worsens. In the biomedical resea...

    Authors: Thanh-Trung Giang, Thanh-Phuong Nguyen and Dang-Hung Tran

    Citation: BMC Medical Informatics and Decision Making 2020 20:108

    Content type: Research article

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  24. Patients increasingly turn to search engines and online content before, or in place of, talking with a health professional. Low quality health information, which is common on the internet, presents risks to th...

    Authors: Laura Kinkead, Ahmed Allam and Michael Krauthammer

    Citation: BMC Medical Informatics and Decision Making 2020 20:104

    Content type: Research Article

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  25. The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical center...

    Authors: Raffael Bild, Martin Bialke, Karoline Buckow, Thomas Ganslandt, Kristina Ihrig, Roland Jahns, Angela Merzweiler, Sybille Roschka, Björn Schreiweis, Sebastian Stäubert, Sven Zenker and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2020 20:103

    Content type: Technical advance

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  26. Patient experience surveys often include free-text responses. Analysis of these responses is time-consuming and often underutilized. This study examined whether Natural Language Processing (NLP) techniques cou...

    Authors: Simone A. Cammel, Marit S. De Vos, Daphne van Soest, Kristina M. Hettne, Fred Boer, Ewout W. Steyerberg and Hileen Boosman

    Citation: BMC Medical Informatics and Decision Making 2020 20:97

    Content type: Research article

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  27. Health information systems are increasingly sophisticated and developing them is a challenge for software developers. Software engineers usually make use of UML as a standard model language that allows definin...

    Authors: M. A. Olivero, F. J. Domínguez-Mayo, C. L. Parra-Calderón, M. J. Escalona and A. Martínez-García

    Citation: BMC Medical Informatics and Decision Making 2020 20:96

    Content type: Research article

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  28. Systematic, automated methods for monitoring physician performance are necessary if outlying behavior is to be detected promptly and acted on. In the Michigan Urological Surgery Improvement Collaborative (MUSI...

    Authors: Michael Inadomi, Karandeep Singh, Ji Qi, Rodney Dunn, Susan Linsell, Brian Denton, Patrick Hurley, Eduardo Kleer, James Montie and Khurshid R. Ghani

    Citation: BMC Medical Informatics and Decision Making 2020 20:89

    Content type: Research article

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  29. Geriatric patients frequently undergo emergency general surgery and accrue a greater risk of postoperative complications and fatal outcomes than the general population. It is highly relevant to develop the mos...

    Authors: Yang Cao, Gary A. Bass, Rebecka Ahl, Arvid Pourlotfi, Håkan Geijer, Scott Montgomery and Shahin Mohseni

    Citation: BMC Medical Informatics and Decision Making 2020 20:86

    Content type: Research article

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  30. Accumulating evidence has linked environmental exposure, such as ambient air pollution and meteorological factors, to the development and severity of cardiovascular diseases (CVDs), resulting in increased heal...

    Authors: Hang Qiu, Lin Luo, Ziqi Su, Li Zhou, Liya Wang and Yucheng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:83

    Content type: Research article

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  31. Automated de-identification methods for removing protected health information (PHI) from the source notes of the electronic health record (EHR) rely on building systems to recognize mentions of PHI in text, bu...

    Authors: Brihat Sharma, Dmitriy Dligach, Kristin Swope, Elizabeth Salisbury-Afshar, Niranjan S. Karnik, Cara Joyce and Majid Afshar

    Citation: BMC Medical Informatics and Decision Making 2020 20:79

    Content type: Research article

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  32. Data quality assessment presents a challenge for research using coded administrative health data. The objective of this study is to develop and validate a set of coding association rules for coded diagnostic d...

    Authors: Mingkai Peng, Sangmin Lee, Adam G. D’Souza, Chelsea T. A. Doktorchik and Hude Quan

    Citation: BMC Medical Informatics and Decision Making 2020 20:75

    Content type: Research article

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  33. Drug label, or packaging insert play a significant role in all the operations from production through drug distribution channels to the end consumer. Image of the label also called Display Panel or label could...

    Authors: Xiangwen Liu, Joe Meehan, Weida Tong, Leihong Wu, Xiaowei Xu and Joshua Xu

    Citation: BMC Medical Informatics and Decision Making 2020 20:68

    Content type: Research article

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  34. The International Classification of Diseases, 10th Revision (ICD-10) has been widely used to describe the diagnosis information of patients. Automatic ICD-10 coding is important because manually assigning code...

    Authors: Lingling Zhou, Cheng Cheng, Dong Ou and Hao Huang

    Citation: BMC Medical Informatics and Decision Making 2020 20:67

    Content type: Research article

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  35. In this study, we focus on building a fine-grained entity annotation corpus with the corresponding annotation guideline of traditional Chinese medicine (TCM) clinical records. Our aim is to provide a basis for...

    Authors: Tingting Zhang, Yaqiang Wang, Xiaofeng Wang, Yafei Yang and Ying Ye

    Citation: BMC Medical Informatics and Decision Making 2020 20:64

    Content type: Research article

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  36. Clinical prediction tasks such as patient mortality, length of hospital stay, and disease diagnosis are highly important in critical care research. The existing studies for clinical prediction mainly used simp...

    Authors: Chonghui Guo, Menglin Lu and Jingfeng Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:48

    Content type: Research Article

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  37. The detection of Alzheimer’s Disease (AD) in its formative stages, especially in Mild Cognitive Impairments (MCI), has the potential of helping the clinicians in understanding the condition. The literature rev...

    Authors: Harsh Bhasin and Ramesh Kumar Agrawal

    Citation: BMC Medical Informatics and Decision Making 2020 20:37

    Content type: Research article

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  38. Acute Kidney Injury (AKI) is common among inpatients. Severe AKI increases all-cause mortality especially in critically ill patients. Older patients are more at risk of AKI because of the declined renal functi...

    Authors: Yi-Shian Chen, Che-Yi Chou and Arbee L.P. Chen

    Citation: BMC Medical Informatics and Decision Making 2020 20:36

    Content type: Research article

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  39. Modern data driven medical research promises to provide new insights into the development and course of disease and to enable novel methods of clinical decision support. To realize this, machine learning model...

    Authors: Johanna Eicher, Raffael Bild, Helmut Spengler, Klaus A. Kuhn and Fabian Prasser

    Citation: BMC Medical Informatics and Decision Making 2020 20:29

    Content type: Software

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  40. A common problem in machine learning applications is availability of data at the point of decision making. The aim of the present study was to use routine data readily available at admission to predict aspects...

    Authors: J. Wolff, A. Gary, D. Jung, C. Normann, K. Kaier, H. Binder, K. Domschke, A. Klimke and M. Franz

    Citation: BMC Medical Informatics and Decision Making 2020 20:21

    Content type: Research article

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  41. Data masking is an inborn defect of measures of disproportionality in adverse drug reactions (ADRs) signal detection. Many previous studies can be roughly classified into three categories: data removal, regres...

    Authors: Jian-Xiang Wei, Yue Ding, Ming Li and Jun Sun

    Citation: BMC Medical Informatics and Decision Making 2020 20:18

    Content type: Research article

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  42. Cardiovascular diseases kill approximately 17 million people globally every year, and they mainly exhibit as myocardial infarctions and heart failures. Heart failure (HF) occurs when the heart cannot pump enou...

    Authors: Davide Chicco and Giuseppe Jurman

    Citation: BMC Medical Informatics and Decision Making 2020 20:16

    Content type: Research Article

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  43. Automated machine-learning systems are able to de-identify electronic medical records, including free-text clinical notes. Use of such systems would greatly boost the amount of data available to researchers, y...

    Authors: Tzvika Hartman, Michael D. Howell, Jeff Dean, Shlomo Hoory, Ronit Slyper, Itay Laish, Oren Gilon, Danny Vainstein, Greg Corrado, Katherine Chou, Ming Jack Po, Jutta Williams, Scott Ellis, Gavin Bee, Avinatan Hassidim, Rony Amira…

    Citation: BMC Medical Informatics and Decision Making 2020 20:14

    Content type: Research article

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  44. Cloud storage facilities (CSF) has become popular among the internet users. There is limited data on CSF usage among university students in low middle-income countries including Sri Lanka. In this study we pre...

    Authors: Samankumara Hettige, Eshani Dasanayaka and Dileepa Senajith Ediriweera

    Citation: BMC Medical Informatics and Decision Making 2020 20:10

    Content type: Research article

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  45. 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

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  46. 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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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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