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  1. Accurate information in provider directories are vital in health care including health information exchange, health benefits exchange, quality reporting, and in the reimbursement and delivery of care. Maintain...

    Authors: Matthew J. Cook, Lixia Yao and Xiaoyan Wang
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):80
    Content type: Research Published on:

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

  2. 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

  3. This paper presents a portable phenotyping system that is capable of integrating both rule-based and statistical machine learning based approaches.

    Authors: Himanshu Sharma, Chengsheng Mao, Yizhen Zhang, Haleh Vatani, Liang Yao, Yizhen Zhong, Luke Rasmussen, Guoqian Jiang, Jyotishman Pathak and Yuan Luo
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):78
    Content type: Research Published on:

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

  4. 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: Yaoyun Zhang, Firat Tiryaki, Min Jiang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):77
    Content type: Research Published on:

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

  6. Numbers and numerical concepts appear frequently in free text clinical notes from electronic health records. Knowledge of the frequent lexical variations of these numerical concepts, and their accurate identif...

    Authors: David A. Hanauer, Qiaozhu Mei, V. G. Vinod Vydiswaran, Karandeep Singh, Zach Landis-Lewis and Chunhua Weng
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):75
    Content type: Research Published on:

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

  7. 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

  8. Osteoporosis has become an important public health issue. Most of the population, particularly elderly people, are at some degree of risk of osteoporosis-related fractures. Accurate identification and surveill...

    Authors: Yanshan Wang, Saeed Mehrabi, Sunghwan Sohn, Elizabeth J. Atkinson, Shreyasee Amin and Hongfang Liu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):73
    Content type: Research Published on:

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

  9. The amount of patient-related information within clinical information systems accumulates over time, especially in cases where patients suffer from chronic diseases with many hospitalizations and consultations...

    Authors: Markus Kreuzthaler, Bastian Pfeifer, Jose Antonio Vera Ramos, Diether Kramer, Victor Grogger, Sylvia Bredenfeldt, Markus Pedevilla, Peter Krisper and Stefan Schulz
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):72
    Content type: Research Published on:

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

  10. Clinical text classification is an fundamental problem in medical natural language processing. Existing studies have cocnventionally focused on rules or knowledge sources-based feature engineering, but only a ...

    Authors: Liang Yao, Chengsheng Mao and Yuan Luo
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):71
    Content type: Research Published on:

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

  11. 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

  12. The Health Information Technology for Economic and Clinical Health Act (HITECH) has greatly accelerated the adoption of electronic health records (EHRs) with the promise of better clinical decisions and patien...

    Authors: Liwei Wang, Yanshan Wang, Feichen Shen, Majid Rastegar-Mojarad and Hongfang Liu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 3):69
    Content type: Research Published on:

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

  13. 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

  14. 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

  15. While doctors should analyze a large amount of electronic medical record (EMR) data to conduct clinical research, the analyzing process requires information technology (IT) skills, which is difficult for most ...

    Authors: Tong Ruan, Yueqi Huang, Xuli Liu, Yuhang Xia and Ju Gao
    Citation: BMC Medical Informatics and Decision Making 2019 19:82
    Content type: Research article Published on:

  16. Following publication of the original article [1], the authors reported that one of the authors’ names is spelled incorrectly.

    Authors: Gaëtan Texier, Rodrigue S. Allodji, Loty Diop, Jean-Baptiste Meynard, Liliane Pellegrin and Hervé Chaudet
    Citation: BMC Medical Informatics and Decision Making 2019 19:81
    Content type: Correction Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2019 19:38

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

    Authors: Mogana Darshini Ganggayah, Nur Aishah Taib, Yip Cheng Har, Pietro Lio and Sarinder Kaur Dhillon
    Citation: BMC Medical Informatics and Decision Making 2019 19:48
    Content type: Research article Published on:

  18. Digital health interventions can fill gaps in mental healthcare provision. However, autonomous e-mental health (AEMH) systems also present challenges for effective risk management. To balance autonomy and safe...

    Authors: Myrthe L. Tielman, Mark A. Neerincx, Claudia Pagliari, Albert Rizzo and Willem-Paul Brinkman
    Citation: BMC Medical Informatics and Decision Making 2019 19:47
    Content type: Research article Published on:

  19. Coronary artery disease (CAD), a leading cause of mortality, affects patient health-related quality of life (HRQoL). Elective percutaneous coronary interventions (ePCIs) are usually performed to improve HRQoL ...

    Authors: Rabah M. Al abdi, Hussam Alshraideh, Heba H. Hijazi, Mohamad Jarrah and Mohammad S. Alyahya
    Citation: BMC Medical Informatics and Decision Making 2019 19:46
    Content type: Research article Published on:

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

    Authors: H. Ulrich, J. Kern, D. Tas, A. K. Kock-Schoppenhauer, F. Ückert, J. Ingenerf and M. Lablans
    Citation: BMC Medical Informatics and Decision Making 2019 19:45
    Content type: Software Published on:

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

    Authors: Junqiao Chen, David Chun, Milesh Patel, Epson Chiang and Jesse James
    Citation: BMC Medical Informatics and Decision Making 2019 19:44
    Content type: Research article Published on:

  22. Social isolation is an important social determinant that impacts health outcomes and mortality among patients. The National Academy of Medicine recently recommended that social isolation be documented in elect...

    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 19:43
    Content type: Research article Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:89

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

    Authors: Kuang Ming Kuo, Paul C. Talley, Chi Hsien Huang and Liang Chih Cheng
    Citation: BMC Medical Informatics and Decision Making 2019 19:42
    Content type: Research article Published on:

  25. Mobile health is a fast-developing field. The use of mobile health applications by healthcare professionals (HCPs) globally has increased considerably. While several studies in high income countries have inves...

    Authors: Siti Kabanda and Hanna-Andrea Rother
    Citation: BMC Medical Informatics and Decision Making 2019 19:40
    Content type: Research article Published on:

  26. Efficient planning of hospital bed usage is a necessary condition to minimize the hospital costs. In the presented work we deal with the problem of occupancy forecasting in the scale of several months, with a ...

    Authors: Ekaterina Kutafina, Istvan Bechtold, Klaus Kabino and Stephan M. Jonas
    Citation: BMC Medical Informatics and Decision Making 2019 19:39
    Content type: Research article Published on:

  27. When outbreak detection algorithms (ODAs) are considered individually, the task of outbreak detection can be seen as a classification problem and the ODA as a sensor providing a binary decision (outbreak yes o...

    Authors: Gaëtan Texier, Rodrigue S. Allodji, Loty Diop, Jean-Baptiste Meynard, Liliane Pellegrin and Hervé Chaudet
    Citation: BMC Medical Informatics and Decision Making 2019 19:38
    Content type: Research article Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:81

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

    Authors: Yongchun Cui, Fuliang Luo, Boqing Yang, Bin Li, Qi Zhang, Gopika Das, Guangxin Yue, Jiajie Li, Yue Tang and Xin Wang
    Citation: BMC Medical Informatics and Decision Making 2019 19:37
    Content type: Research article Published on:

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

    Authors: Merijn Beeksma, Suzan Verberne, Antal van den Bosch, Enny Das, Iris Hendrickx and Stef Groenewoud
    Citation: BMC Medical Informatics and Decision Making 2019 19:36
    Content type: Research article Published on:

  30. Information about effects of treatments based on unsystematic reviews of research evidence may be misleading. However, finding trustworthy information about the effects of treatments based on systematic review...

    Authors: Andrew D. Oxman and Elizabeth J. Paulsen
    Citation: BMC Medical Informatics and Decision Making 2019 19:35
    Content type: Research article Published on:

  31. Cloud based health platforms (CBHP) have tremendous capacity to meet patient’s health needs. The benefits inherent in CBHP position it to be relevant for efficient healthcare delivery. Nonetheless, studies hav...

    Authors: Patience E. Idoga, Mehmet Toycan, Halil Nadiri and Erbuğ Çelebi
    Citation: BMC Medical Informatics and Decision Making 2019 19:34
    Content type: Research article Published on:

  32. Increasing life expectancy results in more elderly people struggling with age related diseases and functional conditions. This poses huge challenges towards establishing new approaches for maintaining health a...

    Authors: Andreas Philipp Hassler, Ernestina Menasalvas, Francisco José García-García, Leocadio Rodríguez-Mañas and Andreas Holzinger
    Citation: BMC Medical Informatics and Decision Making 2019 19:33
    Content type: Research article Published on:

  33. Existing resources to assist the diagnosis of rare diseases are usually curated from the literature that can be limited for clinical use. It often takes substantial effort before the suspicion of a rare diseas...

    Authors: Feichen Shen, Yiqing Zhao, Liwei Wang, Majid Rastegar Mojarad, Yanshan Wang, Sijia Liu and Hongfang Liu
    Citation: BMC Medical Informatics and Decision Making 2019 19:32
    Content type: Research article Published on:

  34. 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
    Content type: Software Published on:

  35. The increased use of electronic medical records (EMRs) in Canadian primary health care practice has resulted in an expansion of the availability of EMR data. Potential users of these data need to understand th...

    Authors: Amanda L. Terry, Moira Stewart, Sonny Cejic, J. Neil Marshall, Simon de Lusignan, Bert M. Chesworth, Vijaya Chevendra, Heather Maddocks, Joshua Shadd, Fred Burge and Amardeep Thind
    Citation: BMC Medical Informatics and Decision Making 2019 19:30
    Content type: Research article Published on:

  36. To improve medication surveillance and provide pharmacotherapeutic support in University Hospitals Leuven, a back-office clinical service, called “Check of Medication Appropriateness” (CMA), was developed, con...

    Authors: Charlotte Quintens, Thomas De Rijdt, Tine Van Nieuwenhuyse, Steven Simoens, Willy E. Peetermans, Bart Van den Bosch, Minne Casteels and Isabel Spriet
    Citation: BMC Medical Informatics and Decision Making 2019 19:29
    Content type: Research article Published on:

  37. 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
    Content type: Research article Published on:

  38. Although osteoporosis is an easily diagnosed and treatable condition, many individuals remain untreated. Clinical decision support systems might increase appropriate treatment of osteoporosis. We designed the ...

    Authors: Haukur T. Gudmundsson, Karen E. Hansen, Bjarni V. Halldorsson, Bjorn R. Ludviksson and Bjorn Gudbjornsson
    Citation: BMC Medical Informatics and Decision Making 2019 19:27
    Content type: Research article Published on:

  39. Extracting relations between important clinical entities is critical but very challenging for natural language processing (NLP) in the medical domain. Researchers have applied deep learning-based approaches to...

    Authors: Zhiheng Li, Zhihao Yang, Chen Shen, Jun Xu, Yaoyun Zhang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):22
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  40. In this editorial, we first summarize the 2018 International Conference on Intelligent Biology and Medicine (ICIBM 2018) that was held on June 10–12, 2018 in Los Angeles, California, USA, and then briefly intr...

    Authors: Yaoyun Zhang, Cui Tao, Yang Gong, Kai Wang and Zhongming Zhao
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):21
    Content type: Introduction Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  41. Disease comorbidity is very common and has significant impact on disease treatment. Revealing the associations among diseases may help to understand the mechanisms of diseases, improve the prevention and treat...

    Authors: Guocai Chen, Yuxi Jia, Lisha Zhu, Ping Li, Lin Zhang, Cui Tao and W. Jim Zheng
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):20
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  42. Characterizing the synchronous changes of epileptic seizures in different stages between different regions is profound to understand the transmission pathways of epileptic brain network and epileptogenic foci....

    Authors: Tian Mei, Xiaoyan Wei, Ziyi Chen, Xianghua Tian, Nan Dong, Dongmei Li and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):19
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  43. Congestive heart failure is one of the most common reasons those aged 65 and over are hospitalized in the United States, which has caused a considerable economic burden. The precise prediction of hospitalizati...

    Authors: Tianzhong Yang, Yang Yang, Yugang Jia and Xiao Li
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):18
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  44. The goal of temporal indexing is to select an occurred time or time interval for each medical entity in clinical notes, so that all medical entities can be indexed on a united timeline, which could assist the ...

    Authors: Zengjian Liu, Xiaolong Wang, Qingcai Chen, Buzhou Tang and Hua Xu
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):17
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  45. The development of acute kidney injury (AKI) during an intensive care unit (ICU) admission is associated with increased morbidity and mortality.

    Authors: Lindsay P. Zimmerman, Paul A. Reyfman, Angela D. R. Smith, Zexian Zeng, Abel Kho, L. Nelson Sanchez-Pinto and Yuan Luo
    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 1):16
    Content type: Research Published on:

    This article is part of a Supplement: Volume 19 Supplement 1

  46. Telemonitoring services could dramatically improve the care of diabetes patients by enhancing their quality of life while decreasing healthcare expenditures. However, the potential for implementing innovative ...

    Authors: Domenik Muigg, Peter Kastner, Georg Duftschmid, Robert Modre-Osprian and Daniela Haluza
    Citation: BMC Medical Informatics and Decision Making 2019 19:26
    Content type: Research article Published on:

  47. Frailty is a common clinical syndrome in ageing population that carries an increased risk for adverse health outcomes including falls, hospitalization, disability, and mortality. As these outcomes affect the h...

    Authors: Spyridon Kalogiannis, Konstantinos Deltouzos, Evangelia I. Zacharaki, Andreas Vasilakis, Konstantinos Moustakas, John Ellul and Vasileios Megalooikonomou
    Citation: BMC Medical Informatics and Decision Making 2019 19:25
    Content type: Research article Published on:

  48. Assessing daily change in pain and related symptoms help in diagnosis, prognosis, and monitoring response to treatment. However, such changes are infrequently assessed, and usually reviewed weeks or months aft...

    Authors: John Bedson, Jonathon Hill, David White, Ying Chen, Simon Wathall, Stephen Dent, Kendra Cooke and Danielle van der Windt
    Citation: BMC Medical Informatics and Decision Making 2019 19:24
    Content type: Research article Published on:

  49. The implementation of new medical interventions into routine care involves healthcare professionals adopting new clinical behaviours and changing existing ones. Whilst theory-based approaches can help understa...

    Authors: Sebastian Potthoff, Justin Presseau, Falko F. Sniehotta, Matthew Breckons, Amy Rylance and Leah Avery
    Citation: BMC Medical Informatics and Decision Making 2019 19:23
    Content type: Research article Published on:

  50. 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
    Content type: Research article Published on:
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BMC Medical Informatics and Decision Making

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