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  1. Content type: Research article

    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

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  2. Content type: Research article

    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

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  3. Content type: Research article

    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

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  4. Content type: Research article

    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

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  5. Content type: Research article

    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

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  6. 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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  7. Content type: Research article

    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

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  8. Content type: Research article

    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

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  9. 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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  10. Content type: Research article

    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

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  11. Content type: Research

    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

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

  12. Content type: Introduction

    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

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

  13. Content type: Research

    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

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

  14. Content type: Research

    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

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

  15. Content type: Research

    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

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

  16. Content type: Research

    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

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

  17. Content type: Research

    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

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

  18. Content type: Research article

    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

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  19. Content type: Research article

    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

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  20. Content type: Research article

    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

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  21. Content type: Research article

    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

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  22. 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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  23. Content type: Research article

    Regulatory approval of next generation sequencing (NGS) by the FDA is advancing the use of genomic-based precision medicine for the therapeutic management of cancer as standard care. Recent FDA guidance for th...

    Authors: Grace K. Dy, Mary K. Nesline, Antonios Papanicolau-Sengos, Paul DePietro, Charles M. LeVea, Amy Early, Hongbin Chen, Anne Grand’Maison, Patrick Boland, Marc S. Ernstoff, Stephen Edge, Stacey Akers, Mateusz Opyrchal, Gurkamal Chatta, Kunle Odunsi, Sarabjot Pabla…

    Citation: BMC Medical Informatics and Decision Making 2019 19:14

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  24. Content type: Research article

    Joint models (JM) have emerged as a promising statistical framework to concurrently analyse survival data and multiple longitudinal responses. This is particularly relevant in clinical studies where the goal i...

    Authors: Hugo Loureiro, Eunice Carrasquinha, Irina Alho, Arlindo R. Ferreira, Luís Costa, Alexandra M. Carvalho and Susana Vinga

    Citation: BMC Medical Informatics and Decision Making 2019 19:13

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  25. Content type: Research article

    This paper suggests a method to assess the extent to which ultra-short Heart Rate Variability (HRV) features (less than 5 min) can be considered as valid surrogates of short HRV features (nominally 5 min). Sho...

    Authors: R. Castaldo, L. Montesinos, P. Melillo, C. James and L. Pecchia

    Citation: BMC Medical Informatics and Decision Making 2019 19:12

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  26. Content type: Research article

    With the growing shortage of nurses, labor-saving technology has become more important. In health care practice, however, the fit with innovations is not easy. The aim of this study is to analyze the developme...

    Authors: Danielle M. Vossebeld, Erik C. N. Puik, Joris E. N. Jaspers and Marieke J. Schuurmans

    Citation: BMC Medical Informatics and Decision Making 2019 19:11

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  27. Content type: Research article

    The health sector has quickly become a target for cyberattacks. Hospitals are especially sensitive to these sorts of attacks as any disruption in operations or even disclosure of patient personal information c...

    Authors: Salem T. Argaw, Nefti-Eboni Bempong, Bruce Eshaya-Chauvin and Antoine Flahault

    Citation: BMC Medical Informatics and Decision Making 2019 19:10

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  28. Content type: Software

    We developed Supportive care Prioritization, Assessment and Recommendations for Kids (SPARK), a web-based application designed to facilitate symptom screening by children receiving cancer treatments and access...

    Authors: Sadie Cook, Emily Vettese, Dilip Soman, Shannon Hyslop, Susan Kuczynski, Brenda Spiegler, Hailey Davis, Nathan Duong, Stacee Ou Wai, Robert Golabek, Patryk Golabek, Adam Antoszek-Rallo, Tal Schechter, L. Lee Dupuis and Lillian Sung

    Citation: BMC Medical Informatics and Decision Making 2019 19:9

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  29. Content type: Research article

    Colorectal cancer (CRC) screening has shown to reduce incidence and mortality rates, and therefore is widely recommended for people above 50 years-old. However, despite the implementation of population-based s...

    Authors: Lilisbeth Perestelo-Perez, Amado Rivero-Santana, Alezandra Torres-Castaño, Vanesa Ramos-Garcia, Yolanda Alvarez-Perez, Nerea Gonzalez-Hernandez, Andrea Buron, Michael Pignone and Pedro Serrano-Aguilar

    Citation: BMC Medical Informatics and Decision Making 2019 19:8

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  30. 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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  31. 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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  32. 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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  33. Content type: Research article

    New Specific Application Domain (SAD) heuristics or design principles are being developed to guide the design and evaluation of mobile applications in a bid to improve on the usability of these applications. T...

    Authors: Alice Mugisha, Victoria Nankabirwa, Thorkild Tylleskär and Ankica Babic

    Citation: BMC Medical Informatics and Decision Making 2019 19:4

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  34. Content type: Research article

    Machine-learning classifiers mostly offer good predictive performance and are increasingly used to support shared decision-making in clinical practice. Focusing on performance and practicability, this study ev...

    Authors: Manuel Huber, Christoph Kurz and Reiner Leidl

    Citation: BMC Medical Informatics and Decision Making 2019 19:3

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  35. Content type: Research article

    The Cancer of the Prostate Risk Assessment (CAPRA) score was designed and validated several times to predict the biochemical recurrence-free survival after a radical prostatectomy. Our objectives were, first, ...

    Authors: Marine Lorent, Haïfa Maalmi, Philippe Tessier, Stéphane Supiot, Etienne Dantan and Yohann Foucher

    Citation: BMC Medical Informatics and Decision Making 2019 19:2

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  36. 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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  37. 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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  38. Content type: Research article

    A growing number of clinical trials use various sensors and smartphone applications to collect data outside of the clinic or hospital, raising the question to what extent patients comply with the unique requir...

    Authors: Shani Cohen, Zeev Waks, Jordan J. Elm, Mark Forrest Gordon, Igor D. Grachev, Leehee Navon-Perry, Shai Fine, Iris Grossman, Spyros Papapetropoulos and Juha-Matti Savola

    Citation: BMC Medical Informatics and Decision Making 2018 18:138

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  39. 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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  40. Content type: Research article

    Physical inactivity is associated with poor health outcomes in chronic obstructive pulmonary disease (COPD). It is therefore crucial for patients to have a physically active lifestyle. The aims of this feasibilit...

    Authors: Tatjana M. Burkow, Lars K. Vognild, Elin Johnsen, Astrid Bratvold and Marijke Jongsma Risberg

    Citation: BMC Medical Informatics and Decision Making 2018 18:136

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  41. Content type: Research article

    Hospitals have increasingly realized that wholesale adoption of electronic medical records (EMR) may introduce differential tangible/intangible benefits to them, including improved quality-of-care, reduced med...

    Authors: Kuang Ming Kuo, Yu Chang Chen, Paul C. Talley and Chi Hsien Huang

    Citation: BMC Medical Informatics and Decision Making 2018 18:135

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  42. Content type: Research article

    Breast cancer chemoprevention can reduce breast cancer incidence in high-risk women; however, chemoprevention is underutilized in the primary care setting. We conducted a pilot study of decision support tools ...

    Authors: Rita Kukafka, Jiaqi Fang, Alejandro Vanegas, Thomas Silverman and Katherine D. Crew

    Citation: BMC Medical Informatics and Decision Making 2018 18:134

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  43. Content type: Research article

    Proper logistics management information system in the supply chain improves health outcomes by maintaining accurate and timely information. The purpose of this study was to determine program drugs logistics ma...

    Authors: Kefyalewu Tiye and Tadesse Gudeta

    Citation: BMC Medical Informatics and Decision Making 2018 18:133

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  44. Content type: Research article

    Decision-making about palliative care for metastatic colorectal cancer (mCRC) consists of many different treatment-related decisions, and there generally is no best treatment option. Decision support systems (...

    Authors: Ellen G. Engelhardt, Dóra Révész, Hans J. Tamminga, Cornelis J. A. Punt, Miriam Koopman, Bregje D. Onwuteaka-Philipsen, Ewout W. Steyerberg, Henrica C. W. de Vet and Veerle M. H. Coupé

    Citation: BMC Medical Informatics and Decision Making 2018 18:132

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  45. 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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  46. Content type: Research

    Accurate predictive modeling in clinical research enables effective early intervention that patients are most likely to benefit from. However, due to the complex biological nature of disease progression, captu...

    Authors: Xiangrui Li, Dongxiao Zhu and Phillip Levy

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):126

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    This article is part of a Supplement: Volume 18 Supplement 4

  47. Content type: Research

    Chronic Kidney Disease (CKD) is one of several conditions that affect a growing percentage of the US population; the disease is accompanied by multiple co-morbidities, and is hard to diagnose in-and-of itself. In...

    Authors: Moumita Bhattacharya, Claudine Jurkovitz and Hagit Shatkay

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):125

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 4

  48. Content type: Research

    There has been an increasing interest in understanding the usefulness of wrist-based accelerometer data for physical activity (PA) assessment due to the ease of use and higher user compliance than other body p...

    Authors: Matin Kheirkhahan, Avirup Chakraborty, Amal A. Wanigatunga, Duane B. Corbett, Todd M. Manini and Sanjay Ranka

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):124

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 4

  49. Content type: Research

    There has been an increasing interest in learning low-dimensional vector representations of medical concepts from Electronic Health Records (EHRs). Vector representations of medical concepts facilitate explora...

    Authors: Tian Bai, Ashis Kumar Chanda, Brian L. Egleston and Slobodan Vucetic

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):123

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 4

  50. Content type: Research

    SNOMED CT is a standardized and comprehensive clinical terminology that is used in Electronic Health Records to capture, store and access clinical data of patients. Studies have, however, shown that there are ...

    Authors: Ankur Agrawal

    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):88

    Published on:

    This article is part of a Supplement: Volume 18 Supplement 4

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