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  1. Cardiovascular risk management (CVRM) is notoriously difficult because of multi-morbidity and the different phenotypes and severities of cardiovascular disease. Computerized decision support systems (CDSS) ena...

    Authors: T. Katrien J. Groenhof, Folkert W. Asselbergs, Rolf H. H. Groenwold, Diederick E. Grobbee, Frank L. J. Visseren and Michiel L. Bots

    Citation: BMC Medical Informatics and Decision Making 2019 19:108

    Content type: Research article

    Published on:

  2. Evidence-Based Medicine (EBM) is the process of systematically locating, searching, evaluating, and using contemporaneous research findings as the basis for clinical decision making. The systematic review show...

    Authors: Teshager Worku, Meron Yeshitila, Tilaye Feto, Shiferaw Leta, Frehiwot Mesfin and Haymanot Mezmur

    Citation: BMC Medical Informatics and Decision Making 2019 19:107

    Content type: Research article

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  3. Pain is the most common and distressing symptom for patients in all clinical settings. The dearth of health informatics tools to support acute and chronic pain management may be contributing to the chronic pai...

    Authors: Peng Zhao, Illhoi Yoo, Robert Lancey and Ebby Varghese

    Citation: BMC Medical Informatics and Decision Making 2019 19:106

    Content type: Research article

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  4. Home monitoring of urine protein is a critical component of disease management in childhood nephrotic syndrome. We describe the development of a novel mobile application, UrApp – Nephrotic Syndrome Manager, to...

    Authors: Chia-shi Wang, Richard Boyd, Russell Mitchell, W. Darryl Wright, Courtney McCracken, Cam Escoffery, Rachel E. Patzer and Larry A. Greenbaum

    Citation: BMC Medical Informatics and Decision Making 2019 19:105

    Content type: Technical advance

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  5. Although previous research showed that telehealth services can reduce the misuse of resources and urban–rural disparities, most healthcare insurers do not include telehealth services in their health insurance ...

    Authors: Ching-Chin Chern, Yu-Jen Chen and Bo Hsiao

    Citation: BMC Medical Informatics and Decision Making 2019 19:104

    Content type: Research article

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  6. Disease trajectories for chronic diseases can span over several decades, with several time-dependent factors affecting treatment decisions. Thus, there is a need for long-term predictions of disease trajectori...

    Authors: Eugenio Ventimiglia, Mieke Van Hemelrijck, Lars Lindhagen, Pär Stattin and Hans Garmo

    Citation: BMC Medical Informatics and Decision Making 2019 19:103

    Content type: Research article

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  7. Inappropriate prescribing of psychotropics is a persistent and prevalent problem in nursing homes. The present study compared inappropriate prescribing of psychotropics in nursing homes 16 years apart with pre...

    Authors: Jan Schjøtt and Jörg Aßmus

    Citation: BMC Medical Informatics and Decision Making 2019 19:102

    Content type: Research article

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  8. Vaccination has been one of the most successful public health interventions to date, and the U.S. FDA/CDC Vaccine Adverse Event Reporting System (VAERS) currently contains more than 500,000 reports for post-vacci...

    Authors: Jian-Jian Ren, Tingni Sun, Yongqun He and Yuji Zhang

    Citation: BMC Medical Informatics and Decision Making 2019 19:101

    Content type: Research article

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  9. The 2014–2016 West Africa Ebola epidemic highlighted the difficulty of collecting patient information during emergencies, especially in highly infectious environments. Health information systems (HISs) appropr...

    Authors: Shefali Oza, Kevin Wing, Alieu Amara Sesay, Sabah Boufkhed, Catherine Houlihan, Lahai Vandi, Sahr Charles Sebba, Catherine R. McGowan, Rachael Cummings and Francesco Checchi

    Citation: BMC Medical Informatics and Decision Making 2019 19:100

    Content type: Research article

    Published on:

  10. 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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  11. Multiple predictive scores using Electronic Patient Record data have been developed for hospitalised patients at risk of clinical deterioration. Methods used to select patient centred variables for inclusion i...

    Authors: James Malycha, Timothy Bonnici, David A. Clifton, Guy Ludbrook, J. Duncan Young and Peter J. Watkinson

    Citation: BMC Medical Informatics and Decision Making 2019 19:98

    Content type: Research article

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  12. Mobile health (MH) technologies including clinical decision support systems (CDSS) provide an efficient method for patient monitoring and treatment. A mobile CDSS is based on real-time sensor data and historic...

    Authors: Shaker El-Sappagh, Farman Ali, Abdeltawab Hendawi, Jun-Hyeog Jang and Kyung-Sup Kwak

    Citation: BMC Medical Informatics and Decision Making 2019 19:97

    Content type: Research article

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  13. 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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  14. Patients and citizens need access to their health information to get a retrospective as well as a prospective view on their care and rehabilitation processes. However, patients’ health information is stored in...

    Authors: Nadia Davoody, Sabine Koch, Ingvar Krakau and Maria Hägglund

    Citation: BMC Medical Informatics and Decision Making 2019 19:95

    Content type: Research article

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  15. Although fecal hemoglobin concentration (f-Hb) was highly associated with the risk of colorectal neoplasms, current studies on this subject are hampered by skewedness of the data and the ordinal property of f-...

    Authors: Szu-Min Peng, Han-Mo Chiu, Hsiao-Hsuan Jen, Chen-Yang Hsu, Sam Li-Sheng Chen, Sherry Yueh-Hsia Chiu, Amy Ming-Fang Yen, Jean Ching-Yuan Fann, Yi-Chia Lee and Hsiu-Hsi Chen

    Citation: BMC Medical Informatics and Decision Making 2019 19:94

    Content type: Research article

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  16. While early diagnostic decision support systems were built around knowledge bases, more recent systems employ machine learning to consume large amounts of health data. We argue curated knowledge bases will rem...

    Authors: Lars Müller, Rashmi Gangadharaiah, Simone C. Klein, James Perry, Greg Bernstein, David Nurkse, Dustin Wailes, Rishi Graham, Robert El-Kareh, Sanjay Mehta, Staal A. Vinterbo and Eliah Aronoff-Spencer

    Citation: BMC Medical Informatics and Decision Making 2019 19:93

    Content type: Database

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  17. Maintaining physical fitness is a crucial component of the therapeutic process for patients with cardiovascular disease (CVD). Despite the known importance of being physically active, patient adherence to exer...

    Authors: Kristina Livitckaia, Vassilis Koutkias, Evangelia Kouidi, Mark van Gils, Nikolaos Maglaveras and Ioanna Chouvarda

    Citation: BMC Medical Informatics and Decision Making 2019 19:92

    Content type: Research article

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  18. Many clinical concepts are standardized under a categorical and hierarchical taxonomy such as ICD-10, ATC, etc. These taxonomic clinical concepts provide insight into semantic meaning and similarity among clin...

    Authors: Zheng Jia, Xudong Lu, Huilong Duan and Haomin Li

    Citation: BMC Medical Informatics and Decision Making 2019 19:91

    Content type: Research article

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  19. Data-intensive research in medicine and healthcare such as health-related big data research (HBDR) implies that data from clinical routine, research and patient-reported data, but also non-medical social or de...

    Authors: Katharina Beier, Mark Schweda and Silke Schicktanz

    Citation: BMC Medical Informatics and Decision Making 2019 19:90

    Content type: Debate

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  20. Following publication of the original article [1], the authors reported an error in one of the authors’ names.

    Authors: Vivienne J. Zhu, Leslie A. Lenert, Brian E. Bunnell, Jihad S. Obeid, Melanie Jefferson and Chanita Hughes Halbert

    Citation: BMC Medical Informatics and Decision Making 2019 19:89

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2019 19:43

  21. 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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  22. 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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  23. Falls are the main cause of death and injury for older adults in the UK. Many of these falls occur within the home as a result of extrinsic falls risk factors such as poor lighting, loose/uneven flooring, and ...

    Authors: Arthur G. Money, Anita Atwal, Emily Boyce, Sophie Gaber, Susan Windeatt and Kyriakos Alexandrou

    Citation: BMC Medical Informatics and Decision Making 2019 19:85

    Content type: Research article

    Published on:

  24. Shared decision making is associated with improved patient outcomes in radiation oncology. Our study aimed to capture how shared decision-making practices–namely, communicating potential harms and benefits and...

    Authors: Laurie Pilote, Luc Côté, Selma Chipenda Dansokho, Émilie Brouillard, Anik M. C. Giguère, France Légaré, Roland Grad and Holly O. Witteman

    Citation: BMC Medical Informatics and Decision Making 2019 19:84

    Content type: Research article

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  25. In recent years, the increasing incidence and prevalence of stroke has brought a heavy economic burden on families and society in China. The Ministry of Health of the Peoples’ Republic of China initiated the n...

    Authors: Xuemeng Li, Jianfei Pang, Mei Li and Dongsheng Zhao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):67

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  26. Chinese word segmentation (CWS) and part-of-speech (POS) tagging are two fundamental tasks of Chinese text processing. They are usually preliminary steps for lots of Chinese natural language processing (NLP) t...

    Authors: Ying Xiong, Zhongmin Wang, Dehuan Jiang, Xiaolong Wang, Qingcai Chen, Hua Xu, Jun Yan and Buzhou Tang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):66

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  27. The Named Entity Recognition (NER) task as a key step in the extraction of health information, has encountered many challenges in Chinese Electronic Medical Records (EMRs). Firstly, the casual use of Chinese a...

    Authors: Xiaoling Cai, Shoubin Dong and Jinlong Hu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):65

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  28. With the rapid spread of electronic medical records and the arrival of medical big data era, the application of natural language processing technology in biomedicine has become a hot research topic.

    Authors: Bin Ji, Rui Liu, Shasha Li, Jie Yu, Qingbo Wu, Yusong Tan and Jiaju Wu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):64

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  29. Extracting relations between bio-entities from biomedical literature is often a challenging task and also an essential step towards biomedical knowledge expansion. The BioCreative community has organized a sha...

    Authors: Suwen Liu, Yifan Shao, Longhua Qian and Guodong Zhou

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):63

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  30. Gender information frequently exists in the eligibility criteria of clinical trial text as essential information for participant population recruitment. Particularly, current eligibility criteria text contains...

    Authors: Boyu Chen, Hao Jin, Zhiwen Yang, Yingying Qu, Heng Weng and Tianyong Hao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):62

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  31. Major adverse cardiac event (MACE) prediction plays a key role in providing efficient and effective treatment strategies for patients with acute coronary syndrome (ACS) during their hospitalizations. Existing ...

    Authors: Danqing Hu, Wei Dong, Xudong Lu, Huilong Duan, Kunlun He and Zhengxing Huang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):61

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  32. Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. However, existing studies simply apply naive RL algorithms in discovering...

    Authors: Chao Yu, Yinzhao Dong, Jiming Liu and Guoqi Ren

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):60

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  33. Drug development is an expensive and time-consuming process. Literature-based discovery has played a critical role in drug development and may be a supplementary method to help scientists speed up the discover...

    Authors: Di Zhao, Jian Wang, Shengtian Sang, Hongfei Lin, Jiabin Wen and Chunmei Yang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):59

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  34. Learning distributional representation of clinical concepts (e.g., diseases, drugs, and labs) is an important research area of deep learning in the medical domain. However, many existing relevant methods do no...

    Authors: Yang Xiang, Jun Xu, Yuqi Si, Zhiheng Li, Laila Rasmy, Yujia Zhou, Firat Tiryaki, Fang Li, Yaoyun Zhang, Yonghui Wu, Xiaoqian Jiang, Wenjin Jim Zheng, Degui Zhi, Cui Tao and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):58

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  35. Reinforcement learning (RL) provides a promising technique to solve complex sequential decision making problems in health care domains. To ensure such applications, an explicit reward function encoding domain ...

    Authors: Chao Yu, Jiming Liu and Hongyi Zhao

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):57

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  36. Electronic Medical Records(EMRs) contain much medical information about patients. Medical named entity extracting from EMRs can provide value information to support doctors’ decision making. The research on in...

    Authors: Yan Gao, Lei Gu, Yefeng Wang, Yandong Wang and Feng Yang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):56

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  37. Electronic medical records (EMRs) contain a variety of valuable medical concepts and relations. The ability to recognize relations between medical concepts described in EMRs enables the automatic processing of...

    Authors: Zhichang Zhang, Tong Zhou, Yu Zhang and Yali Pang

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):55

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  38. Medical event detection in narrative clinical notes of electronic health records (EHRs) is a task designed for reading text and extracting information. Most of the previous work of medical event detection trea...

    Authors: Xuesi Zhou, Haoqi Xiong, Sihan Zeng, Xiangling Fu and Ji Wu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):54

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  39. The traditional Chinese Medicine Language System (TCMLS) is a large-scale terminology system, developed from 2002 on by the Institute of Information of Traditional Chinese Medicine (IITCM). Until now, more tha...

    Authors: Hai Long, Yan Zhu, Lirong Jia, Bo Gao, Jing Liu, Lihong Liu and Heinrich Herre

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):53

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  40. Medical and clinical question answering (QA) is highly concerned by researchers recently. Though there are remarkable advances in this field, the development in Chinese medical domain is relatively backward. I...

    Authors: Junqing He, Mingming Fu and Manshu Tu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):52

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  41. Social media plays a more and more important role in the research of health and healthcare due to the fast development of internet communication and information exchange. This paper conducts a bibliometric ana...

    Authors: Xieling Chen, Yonghui Lun, Jun Yan, Tianyong Hao and Heng Weng

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):50

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  42. Diabetes has become one of the hot topics in life science researches. To support the analytical procedures, researchers and analysts expend a mass of labor cost to collect experimental data, which is also erro...

    Authors: Fan Gong, Yilei Chen, Haofen Wang and Hao Lu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):49

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2

  43. Malnutrition is one of the most important reasons for child mortality in developing countries, especially during the first 5 years of life. We set out to systematically review evaluations of interventions that...

    Authors: Navisa Seyyedi, Bahlol Rahimi, Hamid Reza Farrokh Eslamlou, Toomas Timpka and Hadi Lotfnezhad Afshar

    Citation: BMC Medical Informatics and Decision Making 2019 19:83

    Content type: Research article

    Published on:

  44. Twitter messages (tweets) contain various types of topics in our daily life, which include health-related topics. Analysis of health-related tweets would help us understand health conditions and concerns encou...

    Authors: Son Doan, Elly W. Yang, Sameer S. Tilak, Peter W. Li, Daniel S. Zisook and Manabu Torii

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):79

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 3

  45. Clinical entity recognition as a fundamental task of clinical text processing has been attracted a great deal of attention during the last decade. However, most studies focus on clinical text in English rather...

    Authors: Buzhou Tang, Xiaolong Wang, Jun Yan and Qingcai Chen

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):74

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 3

  46. A shareable repository of clinical notes is critical for advancing natural language processing (NLP) research, and therefore a goal of many NLP researchers is to create a shareable repository of clinical notes...

    Authors: Chunhua Weng, Carol Friedman, Casey A. Rommel and John F. Hurdle

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):70

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 3

  47. Online health forums have become increasingly popular over the past several years. They provide members with a platform to network with peers and share information, experiential advice, and support. Among the ...

    Authors: V.G.Vinod Vydiswaran and Manoj Reddy

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):68

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 3

  48. Disease prediction based on Electronic Health Records (EHR) has become one hot research topic in biomedical community. Existing work mainly focuses on the prediction of one target disease, and little work is p...

    Authors: Yafeng Ren, Hao Fei, Xiaohui Liang, Donghong Ji and Ming Cheng

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 2):51

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 2