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  1. 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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  2. 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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  3. 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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  4. 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

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

  5. 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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  6. 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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  7. 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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  8. 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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  9. 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

  10. 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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  11. 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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  12. 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

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  13. 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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  14. 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

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  15. 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

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  16. 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

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  17. 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

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  18. 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

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  19. 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

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  20. 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

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  21. 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

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  22. 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

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  23. 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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  24. 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

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  25. 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

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  26. 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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  27. 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:

  28. 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:

  29. 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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  30. 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

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  31. Over the last decades, the face of health care has changed dramatically, with big improvements in what is technically feasible. However, there are indicators that the current approach to evaluating evidence in...

    Authors: Wim van Biesen, Catherine Van Der Straeten, Sigrid Sterckx, Johan Steen, Lisa Diependaele and Johan Decruyenaere

    Citation: BMC Medical Informatics and Decision Making 2021 21:87

    Content type: Review

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  32. 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

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  33. Cost control and usage regulation of medical materials (MMs) are the practical issues that the government pays close attention to. Although it is well established that there is great potential to mobilize doct...

    Authors: Guixian Tong, Qingqing Geng, Tong Xu, Debin Wang and Tongzhu Liu

    Citation: BMC Medical Informatics and Decision Making 2021 21:85

    Content type: Study protocol

    Published on:

  34. With a motivation of quality assurance, machine learning techniques were trained to classify Norwegian radiology reports of paediatric CT examinations according to their description of abnormal findings.

    Authors: Fredrik A. Dahl, Taraka Rama, Petter Hurlen, Pål H. Brekke, Haldor Husby, Tore Gundersen, Øystein Nytrø and Lilja Øvrelid

    Citation: BMC Medical Informatics and Decision Making 2021 21:84

    Content type: Research article

    Published on:

  35. Tumor necrosis factor α inhibitors (TNFi) is effective for rheumatoid arthritis (RA) patients who fail to conventional synthetic disease-modifying anti-rheumatic drugs (csDMARDs). Because of high cost, the dis...

    Authors: Juan Zhao, Wei Zhou, Yangfeng Wu, Ping Ji, Li Yang, Xiaoyan Yan and Zhuoli Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:83

    Content type: Study protocol

    Published on:

  36. Currently the diagnosis of shoulder instability, particularly in children, is difficult and can take time. These diagnostic delays can lead to poorer outcome and long-term complications. A Diagnostic Decision ...

    Authors: Fraser Philp, Alice Faux-Nightingale, Sandra Woolley, Ed de Quincey and Anand Pandyan

    Citation: BMC Medical Informatics and Decision Making 2021 21:78

    Content type: Research article

    Published on:

  37. Malignant brain tumor diseases exhibit differences within molecular features depending on the patient’s age.

    Authors: Claire Jean-Quartier, Fleur Jeanquartier, Aydin Ridvan, Matthias Kargl, Tica Mirza, Tobias Stangl, Robi Markaĉ, Mauro Jurada and Andreas Holzinger

    Citation: BMC Medical Informatics and Decision Making 2021 21:77

    Content type: Research article

    Published on:

  38. Radiation Therapy (RT) is a common treatment after breast cancer surgery and a complex process using high energy X-rays to eradicate cancer cells, important in reducing the risk of local recurrence. The high-t...

    Authors: Sofi Fristedt, Frida Smith, Annika Grynne and Maria Browall

    Citation: BMC Medical Informatics and Decision Making 2021 21:76

    Content type: Study protocol

    Published on:

  39. The Ministry of Health of Malaysia has invested significant resources to implement an electronic health record (EHR) system to ensure the full automation of hospitals for coordinated care delivery. Thus, evalu...

    Authors: Mohd Idzwan Mohd Salleh, Rosni Abdullah and Nasriah Zakaria

    Citation: BMC Medical Informatics and Decision Making 2021 21:75

    Content type: Research article

    Published on:

  40. Taking care of chronic or long-term patients at home is an arduous task. Non-professional caregivers suffer the consequences of doing so, especially in terms of their mental health. Performing some simple acti...

    Authors: Maria Ferré-Bergadà, Aida Valls, Laia Raigal-Aran, Jael Lorca-Cabrera, Núria Albacar-Riobóo, Teresa Lluch-Canut and Carme Ferré-Grau

    Citation: BMC Medical Informatics and Decision Making 2021 21:74

    Content type: Research article

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  41. Heart disease is the primary cause of morbidity and mortality in the world. It includes numerous problems and symptoms. The diagnosis of heart disease is difficult because there are too many factors to analyze...

    Authors: Qi Zhenya and Zuoru Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:73

    Content type: Research article

    Published on:

  42. Fatigue is a kind of non-specific symptom, which occurs widely in sub-health and various diseases. It is closely related to people's physical and mental health. Due to the lack of objective diagnostic criteria...

    Authors: Yulin Shi, Xiaojuan Hu, Ji Cui, Longtao Cui, Jingbin Huang, Xuxiang Ma, Tao Jiang, Xinghua Yao, Fang Lan, Jun Li, Zijuan Bi, Jiacai Li, Yu Wang, Hongyuan Fu, Jue Wang, Yanting Lin…

    Citation: BMC Medical Informatics and Decision Making 2021 21:72

    Content type: Research article

    Published on:

  43. In this work, we aimed to demonstrate how to utilize the lab test results and other clinical information to support precision medicine research and clinical decisions on complex diseases, with the support of e...

    Authors: Thanh Nguyen, Tongbin Zhang, Geoffrey Fox, Sisi Zeng, Ni Cao, Chuandi Pan and Jake Y. Chen

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 3):51

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 21 Supplement 3

  44. Burn is one of the most brutal harms to the human body and mind and its wide-ranging complications have many adverse effects on the patients’ quality of life. The present study was conducted to investigate the...

    Authors: Maryam Rouzfarakh, Kolsoum Deldar, Razieh Froutan, Ali Ahmadabadi and Seyed Reza Mazlom

    Citation: BMC Medical Informatics and Decision Making 2021 21:70

    Content type: Research article

    Published on:

  45. The large volume of medical literature makes it difficult for healthcare professionals to keep abreast of the latest studies that support Evidence-Based Medicine. Natural language processing enhances the acces...

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

    Citation: BMC Medical Informatics and Decision Making 2021 21:69

    Content type: Research article

    Published on:

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2021 21:118

  46. The Thai medical application for patient triage, namely Triagist, is an mHealth application designed to support the pre-hospital process. However, since the functions of the application that are necessary for ...

    Authors: Acrapol Nimmolrat, Krongkarn Sutham and Orawit Thinnukool

    Citation: BMC Medical Informatics and Decision Making 2021 21:68

    Content type: Research article

    Published on:

  47. Despite a substantial increase in the adoption of electronic medical records (EMRs) in primary health care settings, the use of advanced EMR features is limited. Several studies have identified both barriers a...

    Authors: Rana Melissa Rahal, Jay Mercer, Craig Kuziemsky and Sanni Yaya

    Citation: BMC Medical Informatics and Decision Making 2021 21:67

    Content type: Research article

    Published on:

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