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  1. With the character of high incidence, high prevalence and high mortality, stroke has brought a heavy burden to families and society in China. In 2009, the Ministry of Health of China launched the China nationa...

    Authors: Xuemeng Li, Di Bian, Jinghui Yu, Mei Li and Dongsheng Zhao

    Citation: BMC Medical Informatics and Decision Making 2019 19:261

    Content type: Research article

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  2. Machine learning can assist with multiple tasks during systematic reviews to facilitate the rapid retrieval of relevant references during screening and to identify and extract information relevant to the study...

    Authors: Austin J. Brockmeier, Meizhi Ju, Piotr Przybyła and Sophia Ananiadou

    Citation: BMC Medical Informatics and Decision Making 2019 19:256

    Content type: Technical Advance

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  3. Extracting useful information from biomedical literature plays an important role in the development of modern medicine. In natural language processing, there have been rigorous attempts to find meaningful rela...

    Authors: Go Eun Heo, Qing Xie, Min Song and Jeong-Hoon Lee

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):240

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 5

  4. Lung cancer is the second most common cancer for men and women; the wide adoption of electronic health records (EHRs) offers a potential to accelerate cohort-related epidemiological studies using informatics a...

    Authors: Liwei Wang, Lei Luo, Yanshan Wang, Jason Wampfler, Ping Yang and Hongfang Liu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):239

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 5

  5. Accurately recognizing rare diseases based on symptom description is an important task in patient triage, early risk stratification, and target therapies. However, due to the very nature of rare diseases, the ...

    Authors: Xuedong Li, Yue Wang, Dongwu Wang, Walter Yuan, Dezhong Peng and Qiaozhu Mei

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):238

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 5

  6. With the wide application of Electronic Medical Record (EMR) systems, it has become a daily work for doctors using keyboards to input clinical information into the EMR system. Chinese Input Method Engine (IME)...

    Authors: Feihong Yang, Haihong Guo and Jiao Li

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):237

    Content type: Software

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    This article is part of a Supplement: Volume 19 Supplement 5

  7. To detect attributes of medical concepts in clinical text, a traditional method often consists of two steps: named entity recognition of attributes and then relation classification between medical concepts and...

    Authors: Jun Xu, Zhiheng Li, Qiang Wei, Yonghui Wu, Yang Xiang, Hee-Jin Lee, Yaoyun Zhang, Stephen Wu and Hua Xu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):236

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 5

  8. Clinical named entity recognition (CNER) is important for medical information mining and establishment of high-quality knowledge map. Due to the different text features from natural language and a large number...

    Authors: Luqi Li, Jie Zhao, Li Hou, Yunkai Zhai, Jinming Shi and Fangfang Cui

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):235

    Content type: Research

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    This article is part of a Supplement: Volume 19 Supplement 5

  9. To robustly identify synergistic combinations of drugs, high-throughput screenings are desirable. It will be of great help to automatically identify the relations in the published papers with machine learning ...

    Authors: Yueping Sun, Li Hou, Lu Qin, Yan Liu, Jiao Li and Qing Qian

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):234

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 5

  10. De-identification is a critical technology to facilitate the use of unstructured clinical text while protecting patient privacy and confidentiality. The clinical natural language processing (NLP) community has...

    Authors: Xi Yang, Tianchen Lyu, Qian Li, Chih-Yin Lee, Jiang Bian, William R. Hogan and Yonghui Wu

    Citation: BMC Medical Informatics and Decision Making 2019 19(Suppl 5):232

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 19 Supplement 5

  11. The successful introduction of homomorphic encryption (HE) in clinical research holds promise for improving acceptance of data-sharing protocols, increasing sample sizes, and accelerating learning from real-wo...

    Authors: Silvia Paddock, Hamed Abedtash, Jacqueline Zummo and Samuel Thomas

    Citation: BMC Medical Informatics and Decision Making 2019 19:255

    Content type: Research article

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  12. This study explored the possible antecedents that will motivate hospital employees’ compliance with privacy policy related to electronic medical records (EMR) from a deterrence perspective. Further, we also in...

    Authors: Kuang-Ming Kuo, Paul C. Talley and Tain-Junn Cheng

    Citation: BMC Medical Informatics and Decision Making 2019 19:254

    Content type: Research article

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  13. Enabling patients to be active users of their own medical records may promote the delivery of safe, efficient care across settings. Patients are rarely involved in designing digital health record systems which...

    Authors: Leigh R. Warren, Matthew Harrison, Sonal Arora and Ara Darzi

    Citation: BMC Medical Informatics and Decision Making 2019 19:250

    Content type: Research article

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  14. The wide scale and severity of consequences of tobacco use, benefits derived from cessation, low rates of intervention by healthcare professionals, and new opportunities stemming from novel communications tech...

    Authors: J. F. Avila-Tomas, E. Olano-Espinosa, C. Minué-Lorenzo, F. J. Martinez-Suberbiola, B. Matilla-Pardo, M. E. Serrano-Serrano and E. Escortell-Mayor

    Citation: BMC Medical Informatics and Decision Making 2019 19:249

    Content type: Study protocol

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  15. Identifying dementia early in time, using real world data, is a public health challenge. As only two-thirds of people with dementia now ultimately receive a formal diagnosis in United Kingdom health systems an...

    Authors: Elizabeth Ford, Philip Rooney, Seb Oliver, Richard Hoile, Peter Hurley, Sube Banerjee, Harm van Marwijk and Jackie Cassell

    Citation: BMC Medical Informatics and Decision Making 2019 19:248

    Content type: Research article

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  16. Electronic health record (EHR) data are available for research in all UK nations and cross-nation comparative studies are becoming more common. All UK inpatient EHRs are based around episodes, but episode-base...

    Authors: Sarah Rees, Ashley Akbari, Huw Collins, Sze Chim Lee, Amanda Marchant, Arfon Rees, Daniel Thayer, Ting Wang, Sophie Wood and Ann John

    Citation: BMC Medical Informatics and Decision Making 2019 19:246

    Content type: Research article

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  17. Numerous studies have analyzed the effectiveness of electronic reminder interventions to improve different clinical conditions, and most have reported a small to moderate effect. Few studies, however, have ana...

    Authors: Ermengol Coma, Manuel Medina, Leonardo Méndez, Eduardo Hermosilla, Manuel Iglesias, Carmen Olmos and Sebastian Calero

    Citation: BMC Medical Informatics and Decision Making 2019 19:245

    Content type: Research article

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  18. This study used natural language processing (NLP) and machine learning (ML) techniques to identify reliable patterns from within research narrative documents to distinguish studies that complete successfully, ...

    Authors: Simon Geletta, Lendie Follett and Marcia Laugerman

    Citation: BMC Medical Informatics and Decision Making 2019 19:242

    Content type: Research article

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  19. Personal health records (PHRs) provide the opportunity for self-management support, enhancing communication between patients and caregivers, and maintaining and/or improving the quality of chronic disease mana...

    Authors: Floor Sieverink, Saskia Kelders, Annemarie Braakman-Jansen and Julia van Gemert-Pijnen

    Citation: BMC Medical Informatics and Decision Making 2019 19:241

    Content type: Research article

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  20. Neuropsychological tests (NPTs) are important tools for informing diagnoses of cognitive impairment (CI). However, interpreting NPTs requires specialists and is thus time-consuming. To streamline the applicati...

    Authors: Min Ju Kang, Sang Yun Kim, Duk L. Na, Byeong C. Kim, Dong Won Yang, Eun-Joo Kim, Hae Ri Na, Hyun Jeong Han, Jae-Hong Lee, Jong Hun Kim, Kee Hyung Park, Kyung Won Park, Seol-Heui Han, Seong Yoon Kim, Soo Jin Yoon, Bora Yoon…

    Citation: BMC Medical Informatics and Decision Making 2019 19:231

    Content type: Research article

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  21. Hospital electronic information management systems (HEIMS) are widely used in Ghana, and hence its performance must be carefully assessed. Nurses as clinical health personnel are the largest cluster of hospita...

    Authors: Lu Lin Zhou, Joseph Owusu-Marfo, Henry Asante Antwi, Maxwell Opuni Antwi, Arielle Doris Tetgoum Kachie and Sabina Ampon-Wireko

    Citation: BMC Medical Informatics and Decision Making 2019 19:230

    Content type: Research article

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  22. Demographic changes, increased life expectancy and the associated rise in chronic diseases pose challenges to public health care systems. Optimized treatment methods and integrated concepts of care are potenti...

    Authors: Alexander Lassnig, Theresa Rienmueller, Diether Kramer, Werner Leodolter, Christian Baumgartner and Joerg Schroettner

    Citation: BMC Medical Informatics and Decision Making 2019 19:229

    Content type: Research article

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  23. Following publication of the original article [1], the authors reported an error in one of the authors’ names. In this Correction the incorrect and correct author name are shown. The original publication of th...

    Authors: V. Laengsri, W. Shoombuatong, W. Adirojananon, C. Nantasenamat, V. Prachayasittikul and P. Nuchnoi

    Citation: BMC Medical Informatics and Decision Making 2019 19:228

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2019 19:212

  24. Following publication of the original article [1], the authors reported that the article erroneously stated that Dr. Ancker was affiliated with the Tehran University of Medical Sciences. Dr. Ancker is not affi...

    Authors: Jessica S. Ancker, Alison Edwards, Sarah Nosal, Diane Hauser, Elizabeth Mauer and Rainu Kaushal

    Citation: BMC Medical Informatics and Decision Making 2019 19:227

    Content type: Correction

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    The original article was published in BMC Medical Informatics and Decision Making 2017 17:36

  25. Electronic medical records (EMR) contain numerical data important for clinical outcomes research, such as vital signs and cardiac ejection fractions (EF), which tend to be embedded in narrative clinical notes....

    Authors: Tianrun Cai, Luwan Zhang, Nicole Yang, Kanako K. Kumamaru, Frank J. Rybicki, Tianxi Cai and Katherine P. Liao

    Citation: BMC Medical Informatics and Decision Making 2019 19:226

    Content type: Software

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  26. There is limited information in Mexico - a middle-income country and a digital adopter with an important demographic bonus - regarding the potential use of technology and connectivity in health promotion among...

    Authors: Arturo Aguilar-Ye, Hortensia Reyes-Morales, Lourdes Campero and Nicéforo Garnelo-Bibiano

    Citation: BMC Medical Informatics and Decision Making 2019 19:225

    Content type: Research article

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  27. Obstructive sleep apnea (OSA) is a sleep disorder with a high prevalence in China. Standard diagnosis of OSA requires polysomnography (PSG). Currently, smart phone applications (apps) are widely used as an imp...

    Authors: Zhao-feng Xu, Xin Luo, Jianbo Shi and Yinyan Lai

    Citation: BMC Medical Informatics and Decision Making 2019 19:224

    Content type: Research article

    Published on:

  28. The use of post-acute care (PAC) for cardiovascular conditions is highly variable across geographical regions. Although PAC benefits include lower readmission rates, better clinical outcomes, and lower mortali...

    Authors: Ineen Sultana, Madhav Erraguntla, Hye-Chung Kum, Dursun Delen and Mark Lawley

    Citation: BMC Medical Informatics and Decision Making 2019 19:223

    Content type: Research article

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  29. Global evidence suggests a range of benefits for introducing electronic health record (EHR) systems to improve patient care. However, implementing EHR within healthcare organisations is complex and, in the Uni...

    Authors: Carolyn McCrorie, Jonathan Benn, Owen Ashby Johnson and Arabella Scantlebury

    Citation: BMC Medical Informatics and Decision Making 2019 19:222

    Content type: Research article

    Published on:

  30. The study aimed to assess the performance of a multidisciplinary-team diabetes care program called DIABETIMSS on glycemic control of type 2 diabetes (T2D) patients, by using available observational patient dat...

    Authors: Yue You, Svetlana V. Doubova, Diana Pinto-Masis, Ricardo Pérez-Cuevas, Víctor Hugo Borja-Aburto and Alan Hubbard

    Citation: BMC Medical Informatics and Decision Making 2019 19:221

    Content type: Research article

    Published on:

  31. Interest in mHealth interventions, defined as the use of mobile phones to access healthcare is increasingly becoming popular globally. Given its technology-based applications, university students may be key cl...

    Authors: Prince Peprah, Emmanuel Mawuli Abalo, Williams Agyemang-Duah, Razak M Gyasi, Okwei Reforce, Julius Nyonyo, Godfred Amankwaa, Jones Amoako and Paulinus Kaaratoore

    Citation: BMC Medical Informatics and Decision Making 2019 19:220

    Content type: Research article

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  32. The use of digital technology in healthcare has been found to be useful for data collection, provision of health information and communications. Despite increasing use of medical mobile phone applications (app...

    Authors: Jenny Carter, Jane Sandall, Andrew H. Shennan and Rachel M. Tribe

    Citation: BMC Medical Informatics and Decision Making 2019 19:219

    Content type: Research article

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  33. Electronic health records (EHRs) are promising tools for routine care. These applications might not only enhance the interaction between patient and physician but also support therapy management. This is cruci...

    Authors: Toni Maria Klein, Matthias Augustin and Marina Otten

    Citation: BMC Medical Informatics and Decision Making 2019 19:218

    Content type: Research article

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  34. About 50% of patients with Crohn’s disease (CD) and about 20% of those with ulcerative colitis (UC) undergo surgery at some point during the course of the disease. The diagnostic validity of the Swedish Nation...

    Authors: Anders Forss, Pär Myrelid, Ola Olén, Åsa H. Everhov, Caroline Nordenvall, Jonas Halfvarson and Jonas F. Ludvigsson

    Citation: BMC Medical Informatics and Decision Making 2019 19:217

    Content type: Research article

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  35. Electronic health records (EHRs) with embedded clinical decision support systems (CDSSs) have the potential to improve healthcare delivery. This study was conducted to explore merits, features, and desiderata ...

    Authors: Ramzi Shawahna

    Citation: BMC Medical Informatics and Decision Making 2019 19:216

    Content type: Research article

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  36. Spatial epidemiological analyses primarily depend on spatially-indexed medical records. Some countries have devised ways of capturing patient-specific spatial details using ZIP codes, postcodes or personal num...

    Authors: Augustus Aturinde, Nakasi Rose, Mahdi Farnaghi, Gilbert Maiga, Petter Pilesjö and Ali Mansourian

    Citation: BMC Medical Informatics and Decision Making 2019 19:215

    Content type: Research article

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  37. Predictive modeling with longitudinal electronic health record (EHR) data offers great promise for accelerating personalized medicine and better informs clinical decision-making. Recently, deep learning models...

    Authors: Rawan AlSaad, Qutaibah Malluhi, Ibrahim Janahi and Sabri Boughorbel

    Citation: BMC Medical Informatics and Decision Making 2019 19:214

    Content type: Research Article

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  38. The paper introduces a deep learning-based approach for real-time detection and insights generation about one of the most prevalent chronic conditions in Australia - Pollen allergy. The popular social media pl...

    Authors: Jia Rong, Sandra Michalska, Sudha Subramani, Jiahua Du and Hua Wang

    Citation: BMC Medical Informatics and Decision Making 2019 19:208

    Content type: Research Article

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  39. Smart pumps have been widely adopted but there is limited evidence to understand and support their use in pediatric populations. Our objective was to assess whether smart pumps are effective at reducing medica...

    Authors: Kristin R. Melton, Kristen Timmons, Kathleen E. Walsh, Jareen K. Meinzen-Derr and Eric Kirkendall

    Citation: BMC Medical Informatics and Decision Making 2019 19:213

    Content type: Research article

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  40. The hypochromic microcytic anemia (HMA) commonly found in Thailand are iron deficiency anemia (IDA) and thalassemia trait (TT). Accurate discrimination between IDA and TT is an important issue and better metho...

    Authors: V. Laengsri, W. Shoombuatong, W. Adirojananon, C. Nantasenamat, V. Prachayasittikul and P. Nuchnoi

    Citation: BMC Medical Informatics and Decision Making 2019 19:212

    Content type: Technical advance

    Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2019 19:228

  41. Diabetes and cardiovascular disease are two of the main causes of death in the United States. Identifying and predicting these diseases in patients is the first step towards stopping their progression. We eval...

    Authors: An Dinh, Stacey Miertschin, Amber Young and Somya D. Mohanty

    Citation: BMC Medical Informatics and Decision Making 2019 19:211

    Content type: Research Article

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  42. For an effective artificial pancreas (AP) system and an improved therapeutic intervention with continuous glucose monitoring (CGM), predicting the occurrence of hypoglycemia accurately is very important. While...

    Authors: Wonju Seo, You-Bin Lee, Seunghyun Lee, Sang-Man Jin and Sung-Min Park

    Citation: BMC Medical Informatics and Decision Making 2019 19:210

    Content type: Research Article

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  43. Skilled assistance during childbirth is essential to reduce maternal deaths. However, in Ethiopia, which is among the six countries contributing to more than half of the global maternal deaths, the coverage of...

    Authors: Brook Tesfaye, Suleman Atique, Tariq Azim and Mihiretu M. Kebede

    Citation: BMC Medical Informatics and Decision Making 2019 19:209

    Content type: Research article

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  44. Clinical predictive tools quantify contributions of relevant patient characteristics to derive likelihood of diseases or predict clinical outcomes. When selecting predictive tools for implementation at clinica...

    Authors: Mohamed Khalifa, Farah Magrabi and Blanca Gallego

    Citation: BMC Medical Informatics and Decision Making 2019 19:207

    Content type: Research article

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  45. The global age-adjusted mortality rate related to atrial fibrillation (AF) registered a rapid growth in the last four decades, i.e., from 0.8 to 1.6 and 0.9 to 1.7 per 100,000 for men and women during 1990–201...

    Authors: Kwang-Sig Lee, Sunghoon Jung, Yeongjoon Gil and Ho Sung Son

    Citation: BMC Medical Informatics and Decision Making 2019 19:206

    Content type: Research article

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  46. Self-management education of diabetes which is one of the most important noncommunicable diseases worldwide involves facilitating knowledge, skills, and ability required for self-care in these patients. Concer...

    Authors: Amal Mohammad Rasoul, Rostam Jalali, Alireza Abdi, Nader Salari, Mehrali Rahimi and Masoud Mohammadi

    Citation: BMC Medical Informatics and Decision Making 2019 19:205

    Content type: Research article

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  47. Radiotherapy is a standard treatment option for breast cancer, but it may lead to significant late morbidity, including radiation heart damage. Breast irradiation performed individually in the supine or prone ...

    Authors: Ferenc Rárosi, Krisztina Boda, Zsuzsanna Kahán and Zoltán Varga

    Citation: BMC Medical Informatics and Decision Making 2019 19:204

    Content type: Research article

    Published on: