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  1. Controlled vocabularies are fundamental resources for information extraction from clinical texts using natural language processing (NLP). Standard language resources available in the healthcare domain such as ...

    Authors: Pilar López-Úbeda, Alexandra Pomares-Quimbaya, Manuel Carlos Díaz-Galiano and Stefan Schulz

    Citation: BMC Medical Informatics and Decision Making 2021 21:145

    Content type: Research

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  2. In high-dimensional data analysis, the complexity of predictive models can be reduced by selecting the most relevant features, which is crucial to reduce data noise and increase model accuracy and interpretabi...

    Authors: Pierre Michel, Nicolas Ngo, Jean-François Pons, Stéphane Delliaux and Roch Giorgi

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 4):130

    Content type: Research

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    This article is part of a Supplement: Volume 21 Supplement 4

  3. Network meta-analysis (NMA) has been widely used in the field of medicine and health, but the research topics and development trends are still unclear. This study aimed to identify the cooperation of countries...

    Authors: Jiyuan Shi, Ya Gao, Liu Ming, Kelu Yang, Yue Sun, Ji Chen, Shuzhen Shi, Jie Geng, Lun Li, Jiarui Wu and Jinhui Tian

    Citation: BMC Medical Informatics and Decision Making 2021 21:144

    Content type: Research article

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  4. Protein–protein interactions (PPIs) are the core of protein function, which provide an effective means to understand the function at cell level. Identification of PPIs is the crucial foundation of predicting d...

    Authors: Xiaoli Lin and Xiaolong Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):143

    Content type: Research

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    This article is part of a Supplement: Volume 21 Supplement 1

  5. In many cases, both the rupture rate of cerebral arteriovenous malformation (bAVM) in patients and the risk of endovascular or surgical treatment (when radiosurgery is not appropriate) are not low, it is impor...

    Authors: Wengui Tao, Langchao Yan, Ming Zeng and Fenghua Chen

    Citation: BMC Medical Informatics and Decision Making 2021 21:142

    Content type: Research

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  6. Dengue fever is a widespread viral disease and one of the world’s major pandemic vector-borne infections, causing serious hazard to humanity. The World Health Organisation (WHO) reported that the incidence of ...

    Authors: Felestin Yavari Nejad and Kasturi Dewi Varathan

    Citation: BMC Medical Informatics and Decision Making 2021 21:141

    Content type: Research article

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  7. Healthcare providers need training to implement shared decision making (SDM). In Norway, we developed “Ready for SDM”, a comprehensive SDM curriculum tailored to various healthcare providers, settings, and com...

    Authors: Simone Kienlin, Marie-Eve Poitras, Dawn Stacey, Kari Nytrøen and Jürgen Kasper

    Citation: BMC Medical Informatics and Decision Making 2021 21:140

    Content type: Research article

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  8. Robust, flexible, and integrated health information (HIS) systems are essential to achieving national and international goals in health and development. Such systems are still uncommon in most low and middle i...

    Authors: Alpha Nsaghurwe, Vikas Dwivedi, Walter Ndesanjo, Haji Bamsi, Moses Busiga, Edwin Nyella, Japhet Victor Massawe, Dasha Smith, Kate Onyejekwe, Jonathan Metzger and Patricia Taylor

    Citation: BMC Medical Informatics and Decision Making 2021 21:139

    Content type: Technical advance

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  9. This paper describes a model for estimating COVID-19 related excess deaths that are a direct consequence of insufficient hospital ward bed and intensive care unit (ICU) capacity.

    Authors: Christopher Martin, Stuart McDonald, Steve Bale, Michiel Luteijn and Rahul Sarkar

    Citation: BMC Medical Informatics and Decision Making 2021 21:138

    Content type: Research

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  10. The uptake of complex clinical decision support systems (CDSS) in daily practice remains low, despite the proven potential to reduce medical errors and to improve the quality of care. To improve successful imp...

    Authors: Stephanie Jansen-Kosterink, Lex van Velsen and Miriam Cabrita

    Citation: BMC Medical Informatics and Decision Making 2021 21:137

    Content type: Research

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  11. A range of factors can reduce the effectiveness of treatment prescribed for the long-term management of chronic health conditions, such as growth disorders. In particular, prescription medications may not achi...

    Authors: Nea Boman, Luis Fernandez-Luque, Ekaterina Koledova, Marketta Kause and Risto Lapatto

    Citation: BMC Medical Informatics and Decision Making 2021 21:136

    Content type: Research article

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  12. Despite the increasing number of mobile health applications, the validity of their content is understudied. The objective of this study was to rate the content of HIV/AIDS-related mobile applications and to de...

    Authors: Ahmad Raeesi, Reza Khajouei and Leila Ahmadian

    Citation: BMC Medical Informatics and Decision Making 2021 21:135

    Content type: Research

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  13. Deep learning algorithms significantly improve the accuracy of pathological image classification, but the accuracy of breast cancer classification using only single-mode pathological images still cannot meet t...

    Authors: Rui Yan, Fa Zhang, Xiaosong Rao, Zhilong Lv, Jintao Li, Lingling Zhang, Shuang Liang, Yilin Li, Fei Ren, Chunhou Zheng and Jun Liang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):134

    Content type: Research

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    This article is part of a Supplement: Volume 21 Supplement 1

  14. MicroRNAs (miRNAs) have been confirmed to have close relationship with various human complex diseases. The identification of disease-related miRNAs provides great insights into the underlying pathogenesis of d...

    Authors: Yu-Tian Wang, Qing-Wen Wu, Zhen Gao, Jian-Cheng Ni and Chun-Hou Zheng

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 1):133

    Content type: Research

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    This article is part of a Supplement: Volume 21 Supplement 1

  15. Previous studies showed that transitional care reduces the complication rate and readmission rate and improves the quality of life in kidney transplant receipts, nevertheless, in fact there are no standard eva...

    Authors: Xinyi Zhou, Ping Ding, Qiaolan Yang, Ping Wang, Haimei Zhou, Jing Fu and Dongrui Miao

    Citation: BMC Medical Informatics and Decision Making 2021 21:132

    Content type: Research

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  16. Prediction of neonatal deaths in NICUs is important for benchmarking and evaluating healthcare services in NICUs. Application of machine learning techniques can improve physicians’ ability to predict the neona...

    Authors: Abbas Sheikhtaheri, Mohammad Reza Zarkesh, Raheleh Moradi and Farzaneh Kermani

    Citation: BMC Medical Informatics and Decision Making 2021 21:131

    Content type: Research

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  17. Semantic categorization analysis of clinical trials eligibility criteria based on natural language processing technology is crucial for the task of optimizing clinical trials design and building automated pati...

    Authors: Hui Zong, Jinxuan Yang, Zeyu Zhang, Zuofeng Li and Xiaoyan Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:128

    Content type: Research article

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  18. To explore an effective algorithm based on artificial neural network to pick correctly the minority of pregnant women with SLE suffering fetal loss outcomes from the majority with live birth and train a well b...

    Authors: Jing-Hang Ma, Zhen Feng, Jia-Yue Wu, Yu Zhang and Wen Di

    Citation: BMC Medical Informatics and Decision Making 2021 21:127

    Content type: Research article

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  19. Artificial intelligence (AI) in the healthcare sector is receiving attention from researchers and health professionals. Few previous studies have investigated this topic from a multi-disciplinary perspective, ...

    Authors: Silvana Secinaro, Davide Calandra, Aurelio Secinaro, Vivek Muthurangu and Paolo Biancone

    Citation: BMC Medical Informatics and Decision Making 2021 21:125

    Content type: Research article

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  21. Since decision making about treatment with disease-modifying drugs (DMDs) for multiple sclerosis (MS) is preference sensitive, shared decision making between patient and healthcare professional should take pla...

    Authors: I. E. H. Kremer, P. J. Jongen, S. M. A. A. Evers, E. L. J. Hoogervorst, W. I. M. Verhagen and M. Hiligsmann

    Citation: BMC Medical Informatics and Decision Making 2021 21:123

    Content type: Research article

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  22. Sepsis is a highly lethal and heterogeneous disease. Utilization of an unsupervised method may identify novel clinical phenotypes that lead to targeted therapies and improved care.

    Authors: Menghan Ding and Yuan Luo

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 5):95

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 21 Supplement 5

  23. Telerehabilitation has been considered a suitable alternative healthcare delivery system during the COVID-19 outbreak, and many studies have promoted its feasibility in delivering physical care to patients who...

    Authors: Sarah Ibraheem Albahrouh and Ali Jasem Buabbas

    Citation: BMC Medical Informatics and Decision Making 2021 21:122

    Content type: Research article

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  24. The motion capture has been used as the usual method for measuring movement parameters of human, and most of the measuring data are obtained by partial manual process based on commercial software. An automatic...

    Authors: Jian-ping Wang, Shi-hua Wang, Yan-qing Wang, Hai Hu, Jin-wei Yu, Xuan Zhao, Jin-lai Liu, Xu Chen and Yu Li

    Citation: BMC Medical Informatics and Decision Making 2021 21:121

    Content type: Research article

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  25. Accurate, coded problem lists are valuable for data reuse, including clinical decision support and research. However, healthcare providers frequently modify coded diagnoses by including or removing common cont...

    Authors: Eva S. Klappe, Florentien J. P. van Putten, Nicolette F. de Keizer and Ronald Cornet

    Citation: BMC Medical Informatics and Decision Making 2021 21:120

    Content type: Research article

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  26. Implementation of evidence-based interventions often involves strategies to engage diverse populations while also attempting to maintain external validity. When using health IT tools to deliver patient-centere...

    Authors: Margaret A. Handley, Jerad Landeros, Cindie Wu, Adriana Najmabadi, Daniela Vargas and Priyanka Athavale

    Citation: BMC Medical Informatics and Decision Making 2021 21:119

    Content type: Research article

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  27. An amendment to this paper has been published and can be accessed via the original article.

    Authors: Leonardo Campillos-Llanos, Ana Valverde-Mateos, Adrián Capllonch-Carrión and Antonio Moreno-Sandoval

    Citation: BMC Medical Informatics and Decision Making 2021 21:118

    Content type: Correction

    Published on:

    The original article was published in BMC Medical Informatics and Decision Making 2021 21:69

  28. Passive sensor data from mobile devices can shed light on daily activities, social behavior, and maternal-child interactions to improve maternal and child health services including mental healthcare. We assess...

    Authors: Sujen Man Maharjan, Anubhuti Poudyal, Alastair van Heerden, Prabin Byanjankar, Ada Thapa, Celia Islam, Brandon A. Kohrt and Ashley Hagaman

    Citation: BMC Medical Informatics and Decision Making 2021 21:117

    Content type: Research article

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  29. Despite growing evidence that deprescribing can improve clinical outcomes, quality of life and reduce the likelihood of adverse drug events, the practice is not widespread, particularly in hospital settings. C...

    Authors: Melissa T. Baysari, Mai H. Duong, Patrick Hooper, Michaela Stockey-Bridge, Selvana Awad, Wu Yi Zheng and Sarah N. Hilmer

    Citation: BMC Medical Informatics and Decision Making 2021 21:116

    Content type: Research article

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  30. Screening carotid B-mode ultrasonography is a frequently used method to detect subjects with carotid atherosclerosis (CAS). Due to the asymptomatic progression of most CAS patients, early identification is cha...

    Authors: Jiaxin Fan, Mengying Chen, Jian Luo, Shusen Yang, Jinming Shi, Qingling Yao, Xiaodong Zhang, Shuang Du, Huiyang Qu, Yuxuan Cheng, Shuyin Ma, Meijuan Zhang, Xi Xu, Qian Wang and Shuqin Zhan

    Citation: BMC Medical Informatics and Decision Making 2021 21:115

    Content type: Research article

    Published on:

  31. Artificial intelligence (AI) research is highly dependent on the nature of the data available. With the steady increase of AI applications in the medical field, the demand for quality medical data is increasin...

    Authors: Yunsook Kang, Yoo Jung Kim, Seongkeun Park, Gun Ro, Choyeon Hong, Hyungjoon Jang, Sungduk Cho, Won Jae Hong, Dong Un Kang, Jonghoon Chun, Kyoungbun Lee, Gyeong Hoon Kang, Kyoung Chul Moon, Gheeyoung Choe, Kyu Sang Lee, Jeong Hwan Park…

    Citation: BMC Medical Informatics and Decision Making 2021 21:114

    Content type: Database

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  32. Ensuring data is of appropriate quality is essential for the secondary use of electronic health records (EHRs) in research and clinical decision support. An effective method of data quality assessment (DQA) is...

    Authors: Qi Tian, Zhexi Han, Ping Yu, Jiye An, Xudong Lu and Huilong Duan

    Citation: BMC Medical Informatics and Decision Making 2021 21:113

    Content type: Research article

    Published on:

  33. Many patients with atrial fibrillation (AF) remain undiagnosed despite availability of interventions to reduce stroke risk. Predictive models to date are limited by data requirements and theoretical usage. We ...

    Authors: Randall W. Grout, Siu L. Hui, Timothy D. Imler, Sarah El-Azab, Jarod Baker, George H. Sands, Mohammad Ateya and Francis Pike

    Citation: BMC Medical Informatics and Decision Making 2021 21:112

    Content type: Research article

    Published on:

  34. Diabetes is a medical and economic burden in the United States. In this study, a machine learning predictive model was developed to predict unplanned medical visits among patients with diabetes, and findings w...

    Authors: Arielle Selya, Drake Anshutz, Emily Griese, Tess L. Weber, Benson Hsu and Cheryl Ward

    Citation: BMC Medical Informatics and Decision Making 2021 21:111

    Content type: Research article

    Published on:

  35. Inguinal hernia repair, gallbladder removal, and knee- and hip replacements are the most commonly performed surgical procedures, but all are subject to practice variation and variable patient-reported outcomes...

    Authors: Floris M. Thunnissen, Bernhard W. Schreurs, Carmen S. S. Latenstein, Marjan J. Meinders, Eddy M. Adang, Glyn Elwyn, Doeke Boersma, Bas Bosmans, Koop Bosscha, Bastiaan L. Ginsel, Eric J. Hazebroek, Jeroen J. Nieuwenhuis, Maarten Staarink, Dries Verhallen, Marc L. Wagener, Femke Atsma…

    Citation: BMC Medical Informatics and Decision Making 2021 21:110

    Content type: Study protocol

    Published on:

  36. Strabismus is a complex disease that has various treatment approaches each with its own advantages and drawbacks. In this context, shared decisions making (SDM) is a communication process with the provider sha...

    Authors: Ala Paduca, Oleg Arnaut, Eugeniu Beschieru, Per Olof Lundmark and Jan Richard Bruenech

    Citation: BMC Medical Informatics and Decision Making 2021 21:109

    Content type: Research article

    Published on:

  37. Poor balance has been cited as one of the key causal factors of falls. Timely detection of balance impairment can help identify the elderly prone to falls and also trigger early interventions to prevent them. ...

    Authors: Lisha Yu, Yang Zhao, Hailiang Wang, Tien-Lung Sun, Terrence E. Murphy and Kwok-Leung Tsui

    Citation: BMC Medical Informatics and Decision Making 2021 21:108

    Content type: Research article

    Published on:

  38. In the recent decades, the use of computerized decision support software (CDSS)-integrated telephone triage (TT) has become an important tool for managing rising healthcare demands and overcrowding in the emer...

    Authors: Farah Islam, Marc Sabbe, Pieter Heeren and Koen Milisen

    Citation: BMC Medical Informatics and Decision Making 2021 21:107

    Content type: Research article

    Published on:

  39. A central goal among researchers and policy makers seeking to implement clinical interventions is to identify key facilitators and barriers that contribute to implementation success. Despite calls from a numbe...

    Authors: Kristin M. Kostick, Meredith Trejo, Arvind Bhimaraj, Andrew Civitello, Jonathan Grinstein, Douglas Horstmanshof, Ulrich P. Jorde, Matthias Loebe, Mandeep R. Mehra, Nasir Z. Sulemanjee, Vinay Thohan, Barry H. Trachtenberg, Nir Uriel, Robert J. Volk, Jerry D. Estep and J. S. Blumenthal-Barby

    Citation: BMC Medical Informatics and Decision Making 2021 21:106

    Content type: Research article

    Published on:

  40. Diabetes Mellitus (DM) has become the third chronic non-communicable disease that hits patients after tumors, cardiovascular and cerebrovascular diseases, and has become one of the major public health problems...

    Authors: Xuchun Wang, Mengmeng Zhai, Zeping Ren, Hao Ren, Meichen Li, Dichen Quan, Limin Chen and Lixia Qiu

    Citation: BMC Medical Informatics and Decision Making 2021 21:105

    Content type: Research article

    Published on:

  41. Patients with complex health care needs may suffer adverse outcomes from fragmented and delayed care, reducing well-being and increasing health care costs. Health reform efforts, especially those in primary ca...

    Authors: David A. Dorr, Rachel L. Ross, Deborah Cohen, Devan Kansagara, Katrina Ramsey, Bhavaya Sachdeva and Jonathan P. Weiner

    Citation: BMC Medical Informatics and Decision Making 2021 21:104

    Content type: Research article

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  42. The Ministry of Health in Saudi Arabia is expanding the country’s telemedicine services by using advanced technology in health services. In doing so, an e-health application (app), Seha, was introduced in 2018...

    Authors: Abeer Alharbi, Joharah Alzuwaed and Hind Qasem

    Citation: BMC Medical Informatics and Decision Making 2021 21:103

    Content type: Research article

    Published on:

  43. Studies that examine the adoption of clinical decision support (CDS) by healthcare providers have generally lacked a theoretical underpinning. The Unified Theory of Acceptance and Use of Technology (UTAUT) mod...

    Authors: Siru Liu, Thomas J. Reese, Kensaku Kawamoto, Guilherme Del Fiol and Charlene Weir

    Citation: BMC Medical Informatics and Decision Making 2021 21:102

    Content type: Research article

    Published on:

  44. Blood glucose (BG) management is crucial for type-1 diabetes patients resulting in the necessity of reliable artificial pancreas or insulin infusion systems. In recent years, deep learning techniques have been...

    Authors: Md Fazle Rabby, Yazhou Tu, Md Imran Hossen, Insup Lee, Anthony S. Maida and Xiali Hei

    Citation: BMC Medical Informatics and Decision Making 2021 21:101

    Content type: Research article

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  45. Clinical Decision Support Systems (CDSSs) for Prescribing are one of the innovations designed to improve physician practice performance and patient outcomes by reducing prescription errors. This study was ther...

    Authors: Sharare Taheri Moghadam, Farahnaz Sadoughi, Farnia Velayati, Seyed Jafar Ehsanzadeh and Shayan Poursharif

    Citation: BMC Medical Informatics and Decision Making 2021 21:98

    Content type: Research article

    Published on:

  46. In the intensive care unit (ICU), delirium is a common, acute, confusional state associated with high risk for short- and long-term morbidity and mortality. Machine learning (ML) has promise to address researc...

    Authors: Caitlin E. Coombes, Kevin R. Coombes and Naleef Fareed

    Citation: BMC Medical Informatics and Decision Making 2021 21:97

    Content type: Research article

    Published on:

  48. We developed transformer-based deep learning models based on natural language processing for early risk assessment of Alzheimer’s disease from the picture description test.

    Authors: Alireza Roshanzamir, Hamid Aghajan and Mahdieh Soleymani Baghshah

    Citation: BMC Medical Informatics and Decision Making 2021 21:92

    Content type: Research article

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  49. There have been few studies describing how production EMR systems can be systematically queried to identify clinically-defined populations and limited studies utilising free-text in this process. The aim of th...

    Authors: Charmaine S. Tam, Janice Gullick, Aldo Saavedra, Stephen T. Vernon, Gemma A. Figtree, Clara K. Chow, Michelle Cretikos, Richard W. Morris, Maged William, Jonathan Morris and David Brieger

    Citation: BMC Medical Informatics and Decision Making 2021 21:91

    Content type: Research article

    Published on:

  50. Colorectal cancer (CRC) is a common malignancy worldwide. Despite being the most common cancer in Singapore, CRC screening rate remains low due to knowledge deficits, social reasons such as inconvenience and a...

    Authors: Sok Wei Julia Yuen, Tsang Yew Tay, Ning Gao, Nian Qin Tho and Ngiap Chuan Tan

    Citation: BMC Medical Informatics and Decision Making 2021 21:86

    Content type: Research article

    Published on:

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