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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.

  1. Content type: Software

    Vast volumes of data, coded through hierarchical terminologies (e.g., International Classification of Diseases, Tenth Revision–Clinical Modification [ICD10-CM], Medical Subject Headings [MeSH]), are generated ...

    Authors: Xia Jing, Matthew Emerson, David Masters, Matthew Brooks, Jacob Buskirk, Nasseef Abukamail, Chang Liu, James J. Cimino, Jay Shubrook, Sonsoles De Lacalle, Yuchun Zhou and Vimla L. Patel

    Citation: BMC Medical Informatics and Decision Making 2019 19:31

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  2. Content type: Research article

    Clusters of under-vaccinated children are emerging in a number of states in the United States due to rising rates of vaccine hesitancy and refusal. As the measles outbreaks in California and other states in 20...

    Authors: Jose Cadena, David Falcone, Achla Marathe and Anil Vullikanti

    Citation: BMC Medical Informatics and Decision Making 2019 19:28

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  3. Content type: Research article

    Medication trend studies show the changes of medication over the years and may be replicated using a clinical Data Warehouse (CDW). Even nowadays, a lot of the patient information, like medication data, in the...

    Authors: Georg Dietrich, Jonathan Krebs, Leon Liman, Georg Fette, Maximilian Ertl, Mathias Kaspar, Stefan Störk and Frank Puppe

    Citation: BMC Medical Informatics and Decision Making 2019 19:15

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  4. Content type: Research article

    Adverse drug events (ADEs) as well as other preventable adverse events in the hospital setting incur a yearly monetary cost of approximately $3.5 billion, in the United States alone. Therefore, it is of paramo...

    Authors: Francesco Bagattini, Isak Karlsson, Jonathan Rebane and Panagiotis Papapetrou

    Citation: BMC Medical Informatics and Decision Making 2019 19:7

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  5. Content type: Research article

    The Personal Patient Profile-Prostate (P3P) is a web-based decision support system for men newly diagnosed with localized prostate cancer that has demonstrated efficacy in reducing decisional conflict. Our obj...

    Authors: Leslie S. Wilson, Traci M. Blonquist, Fangxin Hong, Barbara Halpenny, Seth Wolpin, Peter Chang, Christopher P. Filson, Viraj A. Master, Martin G. Sanda, Gary W. Chien, Randy A. Jones, Tracey L. Krupski and Donna L. Berry

    Citation: BMC Medical Informatics and Decision Making 2019 19:6

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  6. Content type: Research article

    Main adverse cardiac events (MACE) are essentially composite endpoints for assessing safety and efficacy of treatment processes of acute coronary syndrome (ACS) patients. Timely prediction of MACE is highly va...

    Authors: Huilong Duan, Zhoujian Sun, Wei Dong and Zhengxing Huang

    Citation: BMC Medical Informatics and Decision Making 2019 19:5

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  7. Content type: Research article

    Automatic clinical text classification is a natural language processing (NLP) technology that unlocks information embedded in clinical narratives. Machine learning approaches have been shown to be effective fo...

    Authors: Yanshan Wang, Sunghwan Sohn, Sijia Liu, Feichen Shen, Liwei Wang, Elizabeth J. Atkinson, Shreyasee Amin and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2019 19:1

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  8. Content type: Debate

    Nowadays, trendy research in biomedical sciences juxtaposes the term ‘precision’ to medicine and public health with companion words like big data, data science, and deep learning. Technological advancements pe...

    Authors: Mattia Prosperi, Jae S. Min, Jiang Bian and François Modave

    Citation: BMC Medical Informatics and Decision Making 2018 18:139

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  9. Content type: Research article

    Predicting progression from Mild Cognitive Impairment (MCI) to Alzheimer’s Disease (AD) is an utmost open issue in AD-related research. Neuropsychological assessment has proven to be useful in identifying MCI ...

    Authors: Telma Pereira, Francisco L. Ferreira, Sandra Cardoso, Dina Silva, Alexandre de Mendonça, Manuela Guerreiro and Sara C. Madeira

    Citation: BMC Medical Informatics and Decision Making 2018 18:137

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  10. Content type: Research article

    Systems science methods such as dynamic simulation modelling are well suited to address questions about public health policy as they consider the complexity, context and dynamic nature of system-wide behaviour...

    Authors: Louise Freebairn, Jo-An Atkinson, Paul M. Kelly, Geoff McDonnell and Lucie Rychetnik

    Citation: BMC Medical Informatics and Decision Making 2018 18:131

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  11. Content type: Research article

    Extracting primary care information in terms of Patient/Problem, Intervention, Comparison and Outcome, known as PICO elements, is difficult as the volume of medical information expands and the health semantics...

    Authors: Samir Chabou and Michal Iglewski

    Citation: BMC Medical Informatics and Decision Making 2018 18:128

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  12. Content type: Research article

    To characterize the regional and national variation in prescribing patterns in the Medicare Part D program using dimensional reduction visualization methods.

    Authors: Alexander Rosenberg, Christopher Fucile, Robert J. White, Melissa Trayhan, Samir Farooq, Caroline M. Quill, Lisa A. Nelson, Samuel J. Weisenthal, Kristen Bush and Martin S. Zand

    Citation: BMC Medical Informatics and Decision Making 2018 18:103

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  13. Content type: Research article

    Cost effectiveness research is emerging in the chronic kidney disease (CKD) research field. Especially, an individual-level state transition model (microsimulation) is widely used for these researches. Some re...

    Authors: Shusuke Hiragi, Hiroshi Tamura, Rei Goto and Tomohiro Kuroda

    Citation: BMC Medical Informatics and Decision Making 2018 18:94

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  14. Content type: Research article

    Treatment with effective antiretroviral therapy (ART) lowers morbidity and mortality among HIV positive individuals. Effective highly active antiretroviral therapy (HAART) should lead to undetectable viral loa...

    Authors: Kuteesa R. Bisaso, Susan A. Karungi, Agnes Kiragga, Jackson K. Mukonzo and Barbara Castelnuovo

    Citation: BMC Medical Informatics and Decision Making 2018 18:77

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  15. Content type: Research article

    Systematized Nomenclature of Medicine—Clinical Terms (SNOMED CT, hereafter abbreviated SCT) is a comprehensive medical terminology used for standardizing the storage, retrieval, and exchange of electronic heal...

    Authors: Shaker El-Sappagh, Francesco Franda, Farman Ali and Kyung-Sup Kwak

    Citation: BMC Medical Informatics and Decision Making 2018 18:76

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  16. Content type: Research article

    Kidney stone (KS) disease has high, increasing prevalence in the United States and poses a massive economic burden. Diagnostics algorithms of KS only use a few variables with a limited sensitivity and specific...

    Authors: Zhaoyi Chen, Victoria Y. Bird, Rupam Ruchi, Mark S. Segal, Jiang Bian, Saeed R. Khan, Marie-Carmelle Elie and Mattia Prosperi

    Citation: BMC Medical Informatics and Decision Making 2018 18:72

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  17. Content type: Research article

    Text mining (TM) methods have been used extensively to extract relations and events from the literature. In addition, TM techniques have been used to extract various types or dimensions of interpretative informat...

    Authors: Matthew Shardlow, Riza Batista-Navarro, Paul Thompson, Raheel Nawaz, John McNaught and Sophia Ananiadou

    Citation: BMC Medical Informatics and Decision Making 2018 18:46

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  18. Content type: Research article

    Heart failure is one of the leading causes of hospitalization in the United States. Advances in big data solutions allow for storage, management, and mining of large volumes of structured and semi-structured d...

    Authors: Sara Bersche Golas, Takuma Shibahara, Stephen Agboola, Hiroko Otaki, Jumpei Sato, Tatsuya Nakae, Toru Hisamitsu, Go Kojima, Jennifer Felsted, Sujay Kakarmath, Joseph Kvedar and Kamal Jethwani

    Citation: BMC Medical Informatics and Decision Making 2018 18:44

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  19. Content type: Research article

    Hospital crowding is a rising problem, effective predicting and detecting managment can helpful to reduce crowding. Our team has successfully proposed a hybrid model combining both the autoregressive integrate...

    Authors: Lingling Zhou, Ping Zhao, Dongdong Wu, Cheng Cheng and Hao Huang

    Citation: BMC Medical Informatics and Decision Making 2018 18:39

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  20. Content type: Research article

    A scoping review to characterize the literature on the use of conversations in social media as a potential source of data for detecting adverse events (AEs) related to health products.

    Authors: Andrea C. Tricco, Wasifa Zarin, Erin Lillie, Serena Jeblee, Rachel Warren, Paul A. Khan, Reid Robson, Ba’ Pham, Graeme Hirst and Sharon E. Straus

    Citation: BMC Medical Informatics and Decision Making 2018 18:38

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  21. Content type: Research article

    Monoclonal antibodies blocking the Cytotoxic T-lymphocyte antigen 4 (CTLA-4) receptor have revolutionized the field of anti-cancer therapy for the last few years. The human T-cell-based immune responses are mo...

    Authors: Aravindhan Ganesan, Theinmozhi Arulraj, Tahir Choulli and Khaled H. Barakat

    Citation: BMC Medical Informatics and Decision Making 2018 18:37

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  22. Content type: Research article

    Alzheimer’s Disease (AD) is a neurodegenaritive disorder characterized by a progressive dementia, for which actually no cure is known. An early detection of patients affected by AD can be obtained by analyzing...

    Authors: Giulia Fiscon, Emanuel Weitschek, Alessio Cialini, Giovanni Felici, Paola Bertolazzi, Simona De Salvo, Alessia Bramanti, Placido Bramanti and Maria Cristina De Cola

    Citation: BMC Medical Informatics and Decision Making 2018 18:35

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  23. Content type: Research article

    Medical coding is used for a variety of activities, from observational studies to hospital billing. However, comorbidities tend to be under-reported by medical coders. The aim of this study was to develop an a...

    Authors: Emmanuelle Sylvestre, Guillaume Bouzillé, Emmanuel Chazard, Cécil His-Mahier, Christine Riou and Marc Cuggia

    Citation: BMC Medical Informatics and Decision Making 2018 18:9

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  24. Content type: Research article

    Traditional survey methods are limited in the study of hidden populations due to the hard to access properties, including lack of a sampling frame, sensitivity issue, reporting error, small sample size, etc. T...

    Authors: Chuchu Liu and Xin Lu

    Citation: BMC Medical Informatics and Decision Making 2018 18:2

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  25. Content type: Research article

    Claims data are currently widely used as source data in asthma studies. However, the insufficient information in claims data related to level of asthma severity may negatively impact study findings. The presen...

    Authors: Tsung-Hsien Yu, Pin-Kuei Fu and Yu-Chi Tung

    Citation: BMC Medical Informatics and Decision Making 2017 17:177

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  26. Content type: Research article

    Prior studies have demonstrated that cardiorespiratory fitness (CRF) is a strong marker of cardiovascular health. Machine learning (ML) can enhance the prediction of outcomes through classification techniques ...

    Authors: Sherif Sakr, Radwa Elshawi, Amjad M. Ahmed, Waqas T. Qureshi, Clinton A. Brawner, Steven J. Keteyian, Michael J. Blaha and Mouaz H. Al-Mallah

    Citation: BMC Medical Informatics and Decision Making 2017 17:174

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  27. Content type: Research article

    Antimicrobial Resistance is threatening our ability to treat common infectious diseases and overuse of antimicrobials to treat human infections in hospitals is accelerating this process. Clinical Decision Supp...

    Authors: Bernard Hernandez, Pau Herrero, Timothy Miles Rawson, Luke S. P. Moore, Benjamin Evans, Christofer Toumazou, Alison H. Holmes and Pantelis Georgiou

    Citation: BMC Medical Informatics and Decision Making 2017 17:168

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  28. Content type: Research article

    Autism Spectrum Disorder (ASD) is one of the fastest-growing developmental disorders in the United States. It was hypothesized that variations in the placental chorionic surface vascular network (PCSVN) struct...

    Authors: Jen-Mei Chang, Hui Zeng, Ruxu Han, Ya-Mei Chang, Ruchit Shah, Carolyn M. Salafia, Craig Newschaffer, Richard K. Miller, Philip Katzman, Jack Moye, Margaret Fallin, Cheryl K. Walker and Lisa Croen

    Citation: BMC Medical Informatics and Decision Making 2017 17:162

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  29. Content type: Research article

    Since the emergence of electronic health records, nursing information is increasingly being recorded and stored digitally. Several studies have shown that a wide range of nursing information is not interoperab...

    Authors: R. A. M. M. Kieft, E. M. Vreeke, E. M. de Groot, P. A. Volkert, A. L. Francke and D. M. J. Delnoij

    Citation: BMC Medical Informatics and Decision Making 2017 17:158

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  30. Content type: Research article

    The medical subdomain of a clinical note, such as cardiology or neurology, is useful content-derived metadata for developing machine learning downstream applications. To classify the medical subdomain of a not...

    Authors: Wei-Hung Weng, Kavishwar B. Wagholikar, Alexa T. McCray, Peter Szolovits and Henry C. Chueh

    Citation: BMC Medical Informatics and Decision Making 2017 17:155

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  31. Content type: Research article

    Chronic periodontitis is a multifactorial polygenetic disease with an increasing number of associated factors that have been identified over recent decades. Longitudinal epidemiologic studies have demonstrated...

    Authors: J. Song, H. Zhao, C. Pan, C. Li, J. Liu and Y. Pan

    Citation: BMC Medical Informatics and Decision Making 2017 17:135

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  32. Content type: Technical advance

    Electronic health records (EHRs) contain detailed clinical data stored in proprietary formats with non-standard codes and structures. Participating in multi-site clinical research networks requires EHR data to...

    Authors: Toan C. Ong, Michael G. Kahn, Bethany M. Kwan, Traci Yamashita, Elias Brandt, Patrick Hosokawa, Chris Uhrich and Lisa M. Schilling

    Citation: BMC Medical Informatics and Decision Making 2017 17:134

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  33. Content type: Research article

    Data mining techniques such as support vector machines (SVMs) have been successfully used to predict outcomes for complex problems, including for human health. Much health data is imbalanced, with many more co...

    Authors: Alice M. Richardson and Brett A. Lidbury

    Citation: BMC Medical Informatics and Decision Making 2017 17:121

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  34. Content type: Research article

    Predicting progression from a stage of Mild Cognitive Impairment to dementia is a major pursuit in current research. It is broadly accepted that cognition declines with a continuum between MCI and dementia. As...

    Authors: Telma Pereira, Luís Lemos, Sandra Cardoso, Dina Silva, Ana Rodrigues, Isabel Santana, Alexandre de Mendonça, Manuela Guerreiro and Sara C. Madeira

    Citation: BMC Medical Informatics and Decision Making 2017 17:110

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  35. Content type: Research Article

    Publishing raw electronic health records (EHRs) may be considered as a breach of the privacy of individuals because they usually contain sensitive information. A common practice for the privacy-preserving data...

    Authors: Hyukki Lee, Soohyung Kim, Jong Wook Kim and Yon Dohn Chung

    Citation: BMC Medical Informatics and Decision Making 2017 17:104

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  36. Content type: Research article

    We present a formalized medical knowledge system using a linguistic approach combined with a semantic net.

    Authors: Peter Fritz, Andreas Kleinhans, Florian Kuisle, Patricius Albu, Christine Fritz-Kuisle and Mark Dominik Alscher

    Citation: BMC Medical Informatics and Decision Making 2017 17:103

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  37. Content type: Research article

    Nonsteroidal anti-inflammatory drugs (NSAIDs) and gastro-protective agents should be co-prescribed following a standard clinical practice guideline; however, adherence to this guideline in routine practice is ...

    Authors: Oraluck Pattanaprateep, Mark McEvoy, John Attia and Ammarin Thakkinstian

    Citation: BMC Medical Informatics and Decision Making 2017 17:96

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  38. Content type: Research article

    Autogenous arteriovenous fistula (AVF) is the best vascular access (VA) for hemodialysis, but its creation is still a critical procedure. Physical examination, vascular mapping and doppler ultrasound (DUS) eva...

    Authors: Michela Bozzetto, Stefano Rota, Valentina Vigo, Francesco Casucci, Carlo Lomonte, Walter Morale, Massimo Senatore, Luigi Tazza, Massimo Lodi, Giuseppe Remuzzi and Andrea Remuzzi

    Citation: BMC Medical Informatics and Decision Making 2017 17:26

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  39. Content type: Technical advance

    Interoperability standards intend to standardise health information, clinical practice guidelines intend to standardise care procedures, and patient data registries are vital for monitoring quality of care and...

    Authors: Nadim Anani, Michael V. Mazya, Rong Chen, Tiago Prazeres Moreira, Olivier Bill, Niaz Ahmed, Nils Wahlgren and Sabine Koch

    Citation: BMC Medical Informatics and Decision Making 2017 17:7

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  40. Content type: Software

    Data capture for clinical registries or pilot studies is often performed in spreadsheet-based applications like Microsoft Excel or IBM SPSS. Usually, data is transferred into statistic software, such as SAS, R...

    Authors: Philipp Bruland and Martin Dugas

    Citation: BMC Medical Informatics and Decision Making 2017 17:3

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  41. Content type: Research article

    Patients’ smoking status is routinely collected by General Practitioners (GP) in UK primary health care. There is an abundance of Read codes pertaining to smoking, including those relating to smoking cessation...

    Authors: Mark D. Atkinson, Jonathan I. Kennedy, Ann John, Keir E. Lewis, Ronan A. Lyons and Sinead T. Brophy

    Citation: BMC Medical Informatics and Decision Making 2017 17:2

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  42. Content type: Technical advance

    Techniques have been developed to compute statistics on distributed datasets without revealing private information except the statistical results. However, duplicate records in a distributed dataset may lead t...

    Authors: Kassaye Yitbarek Yigzaw, Antonis Michalas and Johan Gustav Bellika

    Citation: BMC Medical Informatics and Decision Making 2017 17:1

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  43. Content type: Research article

    Smart Health is known as a concept that enhances networking, intelligent data processing and combining patient data with other parameters. Open data models can play an important role in creating a framework fo...

    Authors: Hans Demski, Sebastian Garde and Claudia Hildebrand

    Citation: BMC Medical Informatics and Decision Making 2016 16:137

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  1. Content type: Research article

    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

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  2. Content type: Research article

    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

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  3. Content type: Research article

    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

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  4. Content type: Research article

    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

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  5. Content type: Software

    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

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  6. Content type: Technical advance

    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

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  7. Content type: Research article

    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

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  8. Content type: Research article

    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

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  9. Content type: Research article

    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

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  10. Content type: Research article

    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

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  11. Content type: Research article

    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

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  12. Content type: Technical advance

    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

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  13. Content type: Research Article

    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

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  14. Content type: Research article

    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

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  15. Content type: Research Article

    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

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  16. Content type: Research Article

    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

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

  17. Content type: Research article

    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

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  18. Content type: Research article

    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

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  19. Content type: Research article

    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

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  20. Content type: Research article

    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

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  21. Content type: Research article

    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

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  22. Content type: Research Article

    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

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  23. Content type: Research article

    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

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  24. Content type: Research article

    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

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  25. Content type: Research article

    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

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  26. Content type: Research article

    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

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  27. Content type: Correspondence

    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

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  28. Content type: Research article

    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

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  29. Content type: Research article

    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

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  30. Content type: Research article

    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

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  31. Content type: Research article

    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

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  32. Content type: Research article

    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

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  33. Content type: Research article

    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

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  34. Content type: Research article

    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

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  35. Content type: Technical advance

    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

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  36. Content type: Research article

    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

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  37. Content type: Research article

    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

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  38. Content type: Correspondence

    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

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  39. Content type: Research article

    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

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  40. Content type: Research article

    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

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  41. Content type: Technical advance

    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

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  42. Content type: Research article

    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

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  43. Content type: Research article

    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

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  44. Content type: Research article

    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

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  45. Content type: Research article

    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

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  46. Content type: Research article

    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

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  47. Content type: Research article

    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

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  48. Content type: Research article

    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

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  49. Content type: Technical advance

    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

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