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  1. Correspondence

    Utilizing patient data from the veterans administration electronic health record to support web-based clinical decision support: informatics challenges and issues from three clinical domains

    The US Veterans Administration (VA) has developed a robust and mature computational infrastructure in support of its electronic health record (EHR). Web technology offers a powerful set of tools for structurin...

    Nallakkandi Rajeevan, Kristina M. Niehoff, Peter Charpentier, Forrest L. Levin, Amy Justice, Cynthia A. Brandt, Terri R. Fried and Perry L. Miller

    BMC Medical Informatics and Decision Making 2017 17:111

    Published on: 19 July 2017

  2. Research article

    Predicting progression of mild cognitive impairment to dementia using neuropsychological data: a supervised learning approach using time windows

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

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

    BMC Medical Informatics and Decision Making 2017 17:110

    Published on: 19 July 2017

  3. Study protocol

    An information and communication technology-based centralized clinical trial to determine the efficacy and safety of insulin dose adjustment education based on a smartphone personal health record application: a randomized controlled trial

    A Personal Health Record (PHR) is an online application that allows patients to access, manage, and share their health data. PHRs not only enhance shared decision making with healthcare providers, but also ena...

    Gyuri Kim, Ji Cheol Bae, Byoung Kee Yi, Kyu Yeon Hur, Dong Kyung Chang, Moon-Kyu Lee, Jae Hyeon Kim and Sang-Man Jin

    BMC Medical Informatics and Decision Making 2017 17:109

    Published on: 18 July 2017

  4. Research article

    Evaluation of record linkage of two large administrative databases in a middle income country: stillbirths and notifications of dengue during pregnancy in Brazil

    Due to the increasing availability of individual-level information across different electronic datasets, record linkage has become an efficient and important research tool. High quality linkage is essential fo...

    Enny S Paixão, Katie Harron, Kleydson Andrade, Maria Glória Teixeira, Rosemeire L. Fiaccone, Maria da Conceição N. Costa and Laura C. Rodrigues

    BMC Medical Informatics and Decision Making 2017 17:108

    Published on: 17 July 2017

  5. Research article

    Validation of multisource electronic health record data: an application to blood transfusion data

    Although data from electronic health records (EHR) are often used for research purposes, systematic validation of these data prior to their use is not standard practice. Existing validation frameworks discuss ...

    Loan R. van Hoeven, Martine C. de Bruijne, Peter F. Kemper, Maria M.W. Koopman, Jan M.M. Rondeel, Anja Leyte, Hendrik Koffijberg, Mart P. Janssen and Kit C.B. Roes

    BMC Medical Informatics and Decision Making 2017 17:107

    Published on: 14 July 2017

  6. Research article

    Hospital staffs’ perceptions of an electronic program to engage patients in nutrition care at the bedside: a qualitative study

    Advancements in technology are enabling patients to participate in their health care through self-monitoring and self-management of diet, exercise and chronic disease. Technologies allowing patients to partici...

    Shelley Roberts, Andrea Marshall and Wendy Chaboyer

    BMC Medical Informatics and Decision Making 2017 17:105

    Published on: 11 July 2017

  7. Research article

    Using a linked database for epidemiology across the primary and secondary care divide: acute kidney injury

    NHS England has mandated the use in hospital laboratories of an automated early warning algorithm to create a consistent method for the detection of acute kidney injury (AKI). It generates an ‘alert’ based on ...

    M. Johnson, H. Hounkpatin, S. Fraser, D. Culliford, M. Uniacke and P. Roderick

    BMC Medical Informatics and Decision Making 2017 17:106

    Published on: 11 July 2017

  8. Research Article

    Utility-preserving anonymization for health data publishing

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

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

    BMC Medical Informatics and Decision Making 2017 17:104

    Published on: 11 July 2017

  9. Research article

    The development and feasibility of a personal health-optimization system for people with bipolar disorder

    People with bipolar disorder often experience ill health and have considerably reduced life expectancies. Suboptimal treatment is common and includes a lack of effective medicines, overtreatment, and non-adher...

    Øystein Eiring, Kari Nytrøen, Simone Kienlin, Soudabeh Khodambashi and Magne Nylenna

    BMC Medical Informatics and Decision Making 2017 17:102

    Published on: 10 July 2017

  10. Research article

    Medical diagnosis as a linguistic game

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

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

    BMC Medical Informatics and Decision Making 2017 17:103

    Published on: 10 July 2017

  11. Study protocol

    Impact of mobile phone-based technology to improve health, population and nutrition services in Rural Bangladesh: a study protocol

    Mobile phone-based technology has been used in improving the delivery of healthcare services in many countries. However, data on the effects of this technology on improving primary healthcare services in resou...

    Jasim Uddin, Tuhin Biswas, Gourab Adhikary, Wazed Ali, Nurul Alam, Rajesh Palit, Nizam Uddin, Aftab Uddin, Fatema Khatun and Abbas Bhuiya

    BMC Medical Informatics and Decision Making 2017 17:101

    Published on: 6 July 2017

  12. Technical advance

    Security controls in an integrated Biobank to protect privacy in data sharing: rationale and study design

    With the goal of realizing genome-based personalized healthcare, we have developed a biobank that integrates personal health, genome, and omics data along with biospecimens donated by volunteers of 150,000. Su...

    Takako Takai-Igarashi, Kengo Kinoshita, Masao Nagasaki, Soichi Ogishima, Naoki Nakamura, Sachiko Nagase, Satoshi Nagaie, Tomo Saito, Fuji Nagami, Naoko Minegishi, Yoichi Suzuki, Kichiya Suzuki, Hiroaki Hashizume, Shinichi Kuriyama, Atsushi Hozawa, Nobuo Yaegashi…

    BMC Medical Informatics and Decision Making 2017 17:100

    Published on: 6 July 2017

  13. Research

    A signal detection method for temporal variation of adverse effect with vaccine adverse event reporting system data

    To identify safety signals by manual review of individual report in large surveillance databases is time consuming; such an approach is very unlikely to reveal complex relationships between medications and adv...

    Yi Cai, Jingcheng Du, Jing Huang, Susan S. Ellenberg, Sean Hennessy, Cui Tao and Yong Chen

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):76

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  14. Research

    Leveraging machine learning-based approaches to assess human papillomavirus vaccination sentiment trends with Twitter data

    As one of the serious public health issues, vaccination refusal has been attracting more and more attention, especially for newly approved human papillomavirus (HPV) vaccines. Understanding public opinion towa...

    Jingcheng Du, Jun Xu, Hsing-Yi Song and Cui Tao

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):69

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  15. Research

    How the public uses social media wechat to obtain health information in china: a survey study

    On average, 570 million users, 93% in China’s first-tier cities, log on to WeChat every day. WeChat has become the most widely and frequently used social media in China, and has been profoundly integrated into...

    Xingting Zhang, Dong Wen, Jun Liang and Jianbo Lei

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):66

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  16. Introduction

    Introduction: the International Conference on Intelligent Biology and Medicine (ICIBM) 2016: special focus on medical informatics and big data

    In this editorial, we first summarize the 2016 International Conference on Intelligent Biology and Medicine (ICIBM 2016) held on December 8–10, 2016 in Houston, Texas, USA, and then briefly introduce the ten r...

    Cui Tao, Yang Gong, Hua Xu and Zhongming Zhao

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):77

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  17. Research

    Entity recognition from clinical texts via recurrent neural network

    Entity recognition is one of the most primary steps for text analysis and has long attracted considerable attention from researchers. In the clinical domain, various types of entities, such as clinical entitie...

    Zengjian Liu, Ming Yang, Xiaolong Wang, Qingcai Chen, Buzhou Tang, Zhe Wang and Hua Xu

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):67

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  18. Research article

    Electronic Health Record Portal Adoption: a cross country analysis

    This study’s goal is to understand the factors that drive individuals to adopt Electronic Health Record (EHR) portals and to estimate if there are differences between countries with different healthcare models.

    Jorge Tavares and Tiago Oliveira

    BMC Medical Informatics and Decision Making 2017 17:97

    Published on: 5 July 2017

  19. Research

    An active learning-enabled annotation system for clinical named entity recognition

    Active learning (AL) has shown the promising potential to minimize the annotation cost while maximizing the performance in building statistical natural language processing (NLP) models. However, very few studi...

    Yukun Chen, Thomas A. Lask, Qiaozhu Mei, Qingxia Chen, Sungrim Moon, Jingqi Wang, Ky Nguyen, Tolulola Dawodu, Trevor Cohen, Joshua C. Denny and Hua Xu

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):82

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  20. Research

    Lightweight predicate extraction for patient-level cancer information and ontology development

    Knowledge engineering for ontological knowledgebases is resource and time intensive. To alleviate these issues, especially for novices, automated tools from the natural language domain can assist in the develo...

    Muhammad Amith, Hsing-Yi Song, Yaoyun Zhang, Hua Xu and Cui Tao

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):73

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  21. Research article

    Using participatory methods to design an mHealth intervention for a low income country, a case study in Chikwawa, Malawi

    mHealth holds the potential to educate rural communities in developing countries such as Malawi, on issues which over-burdened and under staffed health centres do not have the facilities to address. Previous r...

    Rebecca Laidlaw, Diane Dixon, Tracy Morse, Tara K. Beattie, Save Kumwenda and Grant Mpemberera

    BMC Medical Informatics and Decision Making 2017 17:98

    Published on: 5 July 2017

  22. Research

    Evaluation of the informatician perspective: determining types of research papers preferred by clinicians

    To deliver evidence-based medicine, clinicians often reference resources that are useful to their respective medical practices. Owing to their busy schedules, however, clinicians typically find it challenging ...

    Boshu Ru, Xiaoyan Wang and Lixia Yao

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):74

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  23. Research

    Developing a similarity searching module for patient safety event reporting system using semantic similarity measures

    The most important knowledge in the field of patient safety is regarding the prevention and reduction of patient safety events (PSE) during treatment and care. The similarities and patterns among the events ma...

    Hong Kang and Yang Gong

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):75

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

  24. Research article

    Predicting two-year survival versus non-survival after first myocardial infarction using machine learning and Swedish national register data

    Machine learning algorithms hold potential for improved prediction of all-cause mortality in cardiovascular patients, yet have not previously been developed with high-quality population data. This study compar...

    John Wallert, Mattia Tomasoni, Guy Madison and Claes Held

    BMC Medical Informatics and Decision Making 2017 17:99

    Published on: 5 July 2017

  25. Research

    Detecting clinically relevant new information in clinical notes across specialties and settings

    Automated methods for identifying clinically relevant new versus redundant information in electronic health record (EHR) clinical notes is useful for clinicians and researchers involved in patient care and cli...

    Rui Zhang, Serguei V. S. Pakhomov, Elliot G. Arsoniadis, Janet T. Lee, Yan Wang and Genevieve B. Melton

    BMC Medical Informatics and Decision Making 2017 17(Suppl 2):68

    Published on: 5 July 2017

    This article is part of a Supplement: Volume 17 Supplement 2

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