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  1. 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

  2. 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

  3. 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

  4. 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:

  5. 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:

  6. 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:

  7. 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:

  8. 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:

  9. 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
    Content type: Research article Published on:

  10. 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
    Content type: Research article Published on:

  11. 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
    Content type: Research article Published on:

  12. 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
    Content type: Research article Published on:

  13. 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
    Content type: Research article Published on:

  14. 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
    Content type: Software Published on:

  15. 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
    Content type: Research article Published on:

  16. 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
    Content type: Research article Published on:

  17. 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
    Content type: Research article Published on:

  18. 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
    Content type: Research article Published on:

  19. 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
    Content type: Research article Published on:

  20. 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
    Content type: Research article Published on:

  21. 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
    Content type: Research article Published on:

  22. 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
    Content type: Research article Published on:

  23. 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
    Content type: Debate Published on:

  24. 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
    Content type: Research article Published on:

  25. 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
    Content type: Research article Published on:

  26. 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
    Content type: Research article Published on:

  27. 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
    Content type: Research article Published on:

  28. 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
    Content type: Research article Published on:

  29. 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
    Content type: Research article Published on:

  30. 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
    Content type: Research article Published on:

  31. 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
    Content type: Research article Published on:

  32. 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
    Content type: Research Published on:

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

  33. 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
    Content type: Research Published on:

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

  34. 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
    Content type: Research Published on:

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

  35. 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
    Content type: Research Published on:

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

  36. Access to palliative care is a key quality metric which most healthcare organizations strive to improve. The primary challenges to increasing palliative care access are a combination of physicians over-estimat...

    Authors: Anand Avati, Kenneth Jung, Stephanie Harman, Lance Downing, Andrew Ng and Nigam H. Shah
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 4):122
    Content type: Research Published on:

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

  37. 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
    Content type: Research Published on:

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

  38. The use of health information technology (HIT) to improve patient safety is widely advocated by governmental and safety agencies. Electronic-prescribing and smart-pump technology are examples of HIT medication...

    Authors: Moninne M. Howlett, Brian J. Cleary and Cormac V. Breatnach
    Citation: BMC Medical Informatics and Decision Making 2018 18:130
    Content type: Research article Published on:

  39. Although gastric cancer is a malignancy with high morbidity and mortality in China, the survival rate of patients with early gastric cancer (EGC) is high after surgical resection. To strengthen diagnosing and ...

    Authors: Mi-Mi Liu, Li Wen, Yong-Jia Liu, Qiao Cai, Li-Ting Li and Yong-Ming Cai
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):121
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  40. Health professionals and consumers use different terms to express medical events or concerns, which makes the communication barriers between the professionals and consumers. This may lead to bias in the diagno...

    Authors: Li Hou, Hongyu Kang, Yan Liu, Luqi Li and Jiao Li
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):120
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  41. The Gene Ontology (GO) is a resource that supplies information about gene product function using ontologies to represent biological knowledge. These ontologies cover three domains: Cellular Component (CC), Mol...

    Authors: Ruoyao Ding, Yingying Qu, Cathy H. Wu and K. Vijay-Shanker
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):119
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  42. Colorectal Cancer (CRC) is the third leading cause of cancer death among men and women in the United States. Research has shown that the risk of CRC associates with genetic and lifestyle factors. It is possibl...

    Authors: Jiannan Liu, Chenyang Li, Jing Xu and Huanmei Wu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):118
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  43. The application of artificial intelligence techniques for processing electronic health records data plays increasingly significant role in advancing clinical decision support. This study conducts a quantitativ...

    Authors: Xieling Chen, Ziqing Liu, Li Wei, Jun Yan, Tianyong Hao and Ruoyao Ding
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):117
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  44. Data heterogeneity is a common phenomenon related to the secondary use of electronic health records (EHR) data from different sources. The Observational Health Data Sciences and Informatics (OHDSI) Common Data...

    Authors: Na Hong, Ning Zhang, Huawei Wu, Shanshan Lu, Yue Yu, Li Hou, Yinying Lu, Hongfang Liu and Guoqian Jiang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):116
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  45. Feature selection and gene set analysis are of increasing interest in the field of bioinformatics. While these two approaches have been developed for different purposes, we describe how some gene set analysis ...

    Authors: Suyan Tian, Chi Wang and Howard H. Chang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):115
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  46. Disease named entity recognition (NER) is a fundamental step in information processing of medical texts. However, disease NER involves complex issues such as descriptive modifiers in actual practice. The accur...

    Authors: Kai Xu, Zhanfan Zhou, Tao Gong, Tianyong Hao and Wenyin Liu
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):114
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  47. Medication events in clinical settings are significant threats to patient safety. Analyzing and learning from the medication event reports is an important way to prevent the recurrence of these events. Current...

    Authors: Sicheng Zhou, Hong Kang, Bin Yao and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):113
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  48. To realize semantic interoperability for Primary Health Information System (PHIS), this study analyzes and applies existing health information data standards in China. This research aims to establish a Primary...

    Authors: Xia Zhao, Xiaohua Li, Wei Yang, Qianjin Feng, Yi Zhou and Qiong Wang
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):112
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:144

  49. Automated seizure detection from clinical EEG data can reduce the diagnosis time and facilitate targeting treatment for epileptic patients. However, current detection approaches mainly rely on limited features...

    Authors: Xiaoyan Wei, Lin Zhou, Ziyi Chen, Liangjun Zhang and Yi Zhou
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):111
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

  50. Patient falls, the most common safety events resulting in adverse patient outcomes, impose significant costs and have become a great burden to the healthcare community. Current patient fall reporting systems r...

    Authors: Hong Kang, Sicheng Zhou, Bin Yao and Yang Gong
    Citation: BMC Medical Informatics and Decision Making 2018 18(Suppl 5):110
    Content type: Research Published on:

    This article is part of a Supplement: Volume 18 Supplement 5

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