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  1. Currently, one of the commonly used methods for disseminating electronic health record (EHR)-based phenotype algorithms is providing a narrative description of the algorithm logic, often accompanied by flowcha...

    Authors: Jingzhi Yu, Jennifer A. Pacheco, Anika S. Ghosh, Yuan Luo, Chunhua Weng, Ning Shang, Barbara Benoit, David S. Carrell, Robert J. Carroll, Ozan Dikilitas, Robert R. Freimuth, Vivian S. Gainer, Hakon Hakonarson, George Hripcsak, Iftikhar J. Kullo, Frank Mentch…

    Citation: BMC Medical Informatics and Decision Making 2022 22:23

    Content type: Research

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  2. Various questionnaires are used for evaluating satisfaction, usability, acceptance, and quality outcomes of mobile health (mHealth) services. Using the best one to meet the needs of an mHealth study is a chall...

    Authors: Sadrieh Hajesmaeel-Gohari, Firoozeh Khordastan, Farhad Fatehi, Hamidreza Samzadeh and Kambiz Bahaadinbeigy

    Citation: BMC Medical Informatics and Decision Making 2022 22:22

    Content type: Research

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  3. A growing body of research has shown that machine learning (ML) can be a useful tool to predict how different variable combinations affect out-of-hospital cardiac arrest (OHCA) survival outcomes. However, ther...

    Authors: Samuel Harford, Marina Del Rios, Sara Heinert, Joseph Weber, Eddie Markul, Katie Tataris, Teri Campbell, Terry Vanden Hoek and Houshang Darabi

    Citation: BMC Medical Informatics and Decision Making 2022 22:21

    Content type: Research

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  4. Association Rules are one of the main ways to represent structural patterns underlying raw data. They represent dependencies between sets of observations contained in the data. The associations established by ...

    Authors: Ricardo Sánchez-de-Madariaga, Juan Martinez-Romo, José Miguel Cantero Escribano and Lourdes Araujo

    Citation: BMC Medical Informatics and Decision Making 2022 22:20

    Content type: Research article

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  5. The diagnostic likelihood ratio (DLR) and its utility are well-known in the field of medical diagnostic testing. However, its use has been limited in the context of an outcome validation study. We considered t...

    Authors: Yoichi Ii, Shintaro Hiro and Yoshiomi Nakazuru

    Citation: BMC Medical Informatics and Decision Making 2022 22:19

    Content type: Research

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  6. To systematically review studies using machine learning (ML) algorithms to predict whether patients undergoing total knee or total hip arthroplasty achieve an improvement as high or higher than the minimal cli...

    Authors: Benedikt Langenberger, Andreas Thoma and Verena Vogt

    Citation: BMC Medical Informatics and Decision Making 2022 22:18

    Content type: Research

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  7. Acute kidney injury (AKI) is a serve and harmful syndrome in the intensive care unit. Comparing to the patients with AKI stage 1/2, the patients with AKI stage 3 have higher in-hospital mortality and risk of p...

    Authors: Canzheng Wei, Lifan Zhang, Yunxia Feng, Aijia Ma and Yan Kang

    Citation: BMC Medical Informatics and Decision Making 2022 22:17

    Content type: Research

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  8. For standardization of terms in the reports of medical device adverse events, 89 Japanese medical device adverse event terminologies were published in March 2015. The 89 terminologies were developed independen...

    Authors: Ayako Yagahara and Hideto Yokoi

    Citation: BMC Medical Informatics and Decision Making 2022 22:16

    Content type: Research

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  9. In this paper we describe the use of the Consolidated Framework for Implementation Research (CFIR) to study implementation of a web-based, point-of-care, EHR-linked clinical decision support (CDS) tool designe...

    Authors: Rebekah Pratt, Daniel M. Saman, Clayton Allen, Benjamin Crabtree, Kris Ohnsorg, JoAnn M. Sperl-Hillen, Melissa Harry, Hilary Henzler-Buckingham, Patrick J. O’Connor and Jay Desai

    Citation: BMC Medical Informatics and Decision Making 2022 22:15

    Content type: Research article

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  10. The greatly accelerated development of information technology has conveniently provided adoption for risk stratification, which means more beneficial for both patients and clinicians. Risk stratification offer...

    Authors: Guanglei Yu, Linlin Zhang, Ying Zhang, Jiaqi Zhou, Tao Zhang and Xuehua Bi

    Citation: BMC Medical Informatics and Decision Making 2022 22:14

    Content type: Research

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  11. There are often many missing values in medical data, which directly affect the accuracy of clinical decision making. Discharge assessment is an important part of clinical decision making. Taking the discharge ...

    Authors: Huimin Wang, Jianxiang Tang, Mengyao Wu, Xiaoyu Wang and Tao Zhang

    Citation: BMC Medical Informatics and Decision Making 2022 22:13

    Content type: Research

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  12. Microsimulation models are mathematical models that simulate event histories for individual members of a population. They are useful for policy decisions because they simulate a large number of individuals fro...

    Authors: Maria DeYoreo, Carolyn M. Rutter, Jonathan Ozik and Nicholson Collier

    Citation: BMC Medical Informatics and Decision Making 2022 22:12

    Content type: Research article

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  13. Automated ICD coding on medical texts via machine learning has been a hot topic. Related studies from medical field heavily relies on conventional bag-of-words (BoW) as the feature extraction method, and do no...

    Authors: Zhao Shuai, Diao Xiaolin, Yuan Jing, Huo Yanni, Cui Meng, Wang Yuxin and Zhao Wei

    Citation: BMC Medical Informatics and Decision Making 2022 22:11

    Content type: Research

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  14. The overcrowded patients, which cause the long waiting time in public hospitals, become significant problems that affect patient satisfaction toward the hospital. Particularly, the bottleneck usually happens a...

    Authors: Tanatorn Tanantong, Warut Pannakkong and Nittaya Chemkomnerd

    Citation: BMC Medical Informatics and Decision Making 2022 22:10

    Content type: Research

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  15. Based on more than 15 million follow-up records of 404,426 patients from Guangdong Mental Health Center over the past 10 years, this study aims to propose a disease risk analysis and prediction model to suppor...

    Authors: Wenyan Tan, Heng Weng, Haicheng Lin, Aihua Ou, Zehui He and Fujun Jia

    Citation: BMC Medical Informatics and Decision Making 2022 21(Suppl 9):375

    Content type: Research

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    This article is part of a Supplement: Volume 21 Supplement 9

  16. This study was designed for the research and development (R&D) and application of a storage inflow and outflow management system enabling departments to perform efficient, scientific, and information-based con...

    Authors: Jiang Luo, Yan Wang, Yongze Zhang, Xiaofang Yan, Xiaoting Huang and Fengying Zhao

    Citation: BMC Medical Informatics and Decision Making 2022 22:9

    Content type: Research article

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  17. In Brazil, many public hospitals face constant problems related to high demand vis-à-vis an overall scarcity of resources, which hinders the operations of different sectors such as the surgical centre, as it i...

    Authors: Jurandir Barreto Galdino Junior, Hélio Roberto Hékis, José Alfredo Ferreira Costa, Íon Garcia Mascarenhas de Andrade, Eric Lucas dos Santos Cabral, Wilkson Ricardo Silva Castro, Davidson Rogério de Medeiros Florentino, Tiago de Oliveira Barreto and João Florêncio da Costa Júnior

    Citation: BMC Medical Informatics and Decision Making 2022 22:8

    Content type: Research

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  18. In case of extreme premature delivery at 24 weeks of gestation, both early intensive care and palliative comfort care for the neonate are considered treatment options. Prenatal counseling, preferably using sha...

    Authors: Josephus F. M. van den Heuvel, Marije Hogeveen, Margo Lutke Holzik, Arno F. J. van Heijst, Mireille N. Bekker and Rosa Geurtzen

    Citation: BMC Medical Informatics and Decision Making 2022 22:7

    Content type: Research

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  19. The objective of this work to calculate prescribed quantity of an active pharmaceutical ingredient (API) in prescription medications for human use, to facilitate research on the prediction of amount of API rel...

    Authors: Kishore Kumar Jagadeesan, James Grant, Sue Griffin, Ruth Barden and Barbara Kasprzyk-Hordern

    Citation: BMC Medical Informatics and Decision Making 2022 22:5

    Content type: Software

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  20. There have been several destructive pandemic diseases in the human history. Since these pandemic diseases spread through human-to-human infection, a number of non-pharmacological policies has been enforced unt...

    Authors: Onder Tutsoy and Mahmud Yusuf Tanrikulu

    Citation: BMC Medical Informatics and Decision Making 2022 22:4

    Content type: Research article

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  21. TOAST subtype classification is important for diagnosis and research of ischemic stroke. Limited by experience of neurologist and time-consuming manual adjudication, it is a big challenge to finish TOAST class...

    Authors: Shuo Zhang, Jing Wang, Lulu Pei, Kai Liu, Yuan Gao, Hui Fang, Rui Zhang, Lu Zhao, Shilei Sun, Jun Wu, Bo Song, Honghua Dai, Runzhi Li and Yuming Xu

    Citation: BMC Medical Informatics and Decision Making 2022 22:3

    Content type: Research

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  22. The coronavirus disease (COVID-19) hospitalized patients are always at risk of death. Machine learning (ML) algorithms can be used as a potential solution for predicting mortality in COVID-19 hospitalized pati...

    Authors: Khadijeh Moulaei, Mostafa Shanbehzadeh, Zahra Mohammadi-Taghiabad and Hadi Kazemi-Arpanahi

    Citation: BMC Medical Informatics and Decision Making 2022 22:2

    Content type: Research

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  23. Lung cancer screening and intervention might be important to help detect lung cancer early and reduce the mortality, but little was known about lung cancer intervention strategy associated with intervention ef...

    Authors: Songjing Chen and Sizhu Wu

    Citation: BMC Medical Informatics and Decision Making 2022 22:1

    Content type: Research

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  24. A shared decision-making model is preferred for engaging prostate cancer patients in treatment decisions. However, the process of assessing an individual’s preferences and values is challenging and not formali...

    Authors: Hilary P. Bagshaw, Alejandro Martinez, Nastaran Heidari, David Scheinker, Alan Pollack, Radka Stoyanova, Eric Horwitz, Gerard Morton, Amar U. Kishan and Mark K. Buyyounouski

    Citation: BMC Medical Informatics and Decision Making 2021 21:374

    Content type: Research

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  25. The health management information system has been implemented at all levels of healthcare delivery to ensure quality data production and information use in Ethiopia. Including the capacity-building activities ...

    Authors: Binyam Tilahun, Lemma Derseh, Asmamaw Atinafu, Adane Mamuye, Tesfahun H. Mariam, Mesoud Mohammed, Teklehayimanot G. Hiwot and Berhanu Fikadie Endehabtu

    Citation: BMC Medical Informatics and Decision Making 2021 21:373

    Content type: Research

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  26. Named entity recognition (NER) on Chinese electronic medical/healthcare records has attracted significantly attentions as it can be applied to building applications to understand these records. Most previous m...

    Authors: Ming Cheng, Shufeng Xiong, Fei Li, Pan Liang and Jianbo Gao

    Citation: BMC Medical Informatics and Decision Making 2021 21:372

    Content type: Research

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  27. For liver cancer patients, the occurrence of postoperative complications increases the difficulty of perioperative nursing, prolongs the hospitalization time of patients, and leads to large increases in hospit...

    Authors: Siyu Zeng, Lele Li, Yanjie Hu, Li Luo and Yuanchen Fang

    Citation: BMC Medical Informatics and Decision Making 2021 21:371

    Content type: Research

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  28. Currently, numerous antihypertensive drugs from different pharmacological classes are available; however, blood pressure control is achieved in only less than a third of patients treated for hypertension. More...

    Authors: Chunyu Liu, Jing Xu, Ran Liu, Miye Wang, Yixuan Zhuo, Lan Su, Hongmei Yan and Qing Zhang

    Citation: BMC Medical Informatics and Decision Making 2021 21:370

    Content type: Research

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  29. Relation extraction (RE) is a fundamental task of natural language processing, which always draws plenty of attention from researchers, especially RE at the document-level. We aim to explore an effective novel...

    Authors: Tao Li, Ying Xiong, Xiaolong Wang, Qingcai Chen and Buzhou Tang

    Citation: BMC Medical Informatics and Decision Making 2021 21(Suppl 7):368

    Content type: Research

    Published on:

    This article is part of a Supplement: Volume 21 Supplement 7

  30. The International Classification of Functioning, Disability and Health (ICF) is a classification of health and health-related states developed by the World Health Organization (WHO) to provide a standard and u...

    Authors: Silvia Cozzi, Andrea Martinuzzi and Vincenzo Della Mea

    Citation: BMC Medical Informatics and Decision Making 2021 21:367

    Content type: Research article

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  31. Digital health technologies can support primary care delivery, but clinical uptake in primary care is limited. This study explores enablers and barriers experienced by primary care providers when adopting new ...

    Authors: Hardeep Singh, Farah Tahsin, Jason Xin Nie, Brian McKinstry, Kednapa Thavorn, Ross Upshur, Sarah Harvey, Walter P. Wodchis and Carolyn Steele Gray

    Citation: BMC Medical Informatics and Decision Making 2021 21:366

    Content type: Research

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  32. Currently, cardiovascular disease has become a major disease endangering human health, and the number of such patients is growing. Electrocardiogram (ECG) is an important basis for {medical doctors to diagnose...

    Authors: Jinyong Cheng, Qingxu Zou and Yunxiang Zhao

    Citation: BMC Medical Informatics and Decision Making 2021 21:365

    Content type: Research

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  33. Rapid and irregular ventricular rates (RVR) are an important consequence of atrial fibrillation (AF). Raw accelerometry data in combination with electrocardiogram (ECG) data have the potential to distinguish i...

    Authors: Zhi Li, Kevin M. Wheelock, Sangeeta Lathkar-Pradhan, Hakan Oral, Daniel J. Clauw, Pujitha Gunaratne, Jonathan Gryak, Kayvan Najarian, Brahmajee K. Nallamothu and Hamid Ghanbari

    Citation: BMC Medical Informatics and Decision Making 2021 21:364

    Content type: Research

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  34. Electronic medical records systems (EMRs) adoption in healthcare to facilitate work processes have become common in many countries. Although EMRs are associated with quality patient care, patient safety, and c...

    Authors: Philomena N. Ngugi, Martin C. Were and Ankica Babic

    Citation: BMC Medical Informatics and Decision Making 2021 21:362

    Content type: Research

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  35. Mood disorders (MDS) are a type of mental health illness that effects millions of people in the United States. Early prediction of MDS can give providers greater opportunity to treat these disorders. We hypoth...

    Authors: Aixia Guo, Kari A. Stephens, Yosef M. Khan, James R. Langabeer and Randi E. Foraker

    Citation: BMC Medical Informatics and Decision Making 2021 21:361

    Content type: Research article

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  36. Numerous pieces of clinical evidence have shown that many phenotypic traits of human disease are related to their gut microbiome, i.e., inflammation, obesity, HIV, and diabetes. Through supervised classificati...

    Authors: Jiayu Zhou, Yanqing Ye and Jiang Jiang

    Citation: BMC Medical Informatics and Decision Making 2021 21:360

    Content type: Research article

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  37. Nowadays, various simulation approaches for evaluation and decision making in cancer screening can be found in the literature. This paper presents an overview of approaches used to assess screening programs fo...

    Authors: Aleksandr Bespalov, Anton Barchuk, Anssi Auvinen and Jaakko Nevalainen

    Citation: BMC Medical Informatics and Decision Making 2021 21:359

    Content type: Research article

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  38. Extensive sequencing of tumor tissues has greatly improved our understanding of cancer biology over the past years. The integration of genomic and clinical data is increasingly used to select personalized ther...

    Authors: Arsenij Ustjanzew, Alexander Desuki, Christoph Ritzel, Alina Corinna Dolezilek, Daniel-Christoph Wagner, Jan Christoph, Philipp Unberath, Thomas Kindler, Jörg Faber, Federico Marini, Torsten Panholzer and Claudia Paret

    Citation: BMC Medical Informatics and Decision Making 2021 21:358

    Content type: Software

    Published on:

  39. Loss to follow-up (LFTU) among HIV patients remains a major obstacle to achieving treatment goals with the risk of failure to achieve viral suppression and thereby increased HIV transmission. Although use of c...

    Authors: Tom Oluoch, Ronald Cornet, Jacques Muthusi, Abraham Katana, Davies Kimanga, Daniel Kwaro, Nicky Okeyo, Ameen Abu-Hanna and Nicolette de Keizer

    Citation: BMC Medical Informatics and Decision Making 2021 21:357

    Content type: Research article

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  40. Data-driven process analysis is an important area that relies on software support. Process variant analysis is a sort of analysis technique in which analysts compare executed process variants, a.k.a. process c...

    Authors: Amin Jalali, Paul Johannesson, Erik Perjons, Ylva Askfors, Abdolazim Rezaei Kalladj, Tero Shemeikka and Anikó Vég

    Citation: BMC Medical Informatics and Decision Making 2021 21:356

    Content type: Software

    Published on:

  41. Cardiotocography (CTG) interpretation plays a critical role in prenatal fetal monitoring. However, the interpretation of fetal status assessment using CTG is mainly confined to clinical research. To the best o...

    Authors: Liting Huang, Zhiying Jiang, Ruichu Cai, Li Li, Qinqun Chen, Jiaming Hong, Zhifeng Hao and Hang Wei

    Citation: BMC Medical Informatics and Decision Making 2021 21:355

    Content type: Research article

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  42. Acute care for critical illness requires very strict treatment timeliness. However, healthcare providers usually cannot accurately figure out the causes of low efficiency in acute care process due to the lack ...

    Authors: Jianfei Pang, Haifeng Xu, Jun Ren, Jun Yang, Mei Li, Dan Lu and Dongsheng Zhao

    Citation: BMC Medical Informatics and Decision Making 2021 21:354

    Content type: Research

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  43. Semantic annotators and Natural Language Processing (NLP) methods for Named Entity Recognition and Linking (NER+L) require plenty of training and test data, especially in the biomedical domain. Despite the abunda...

    Authors: Fabio Giachelle, Ornella Irrera and Gianmaria Silvello

    Citation: BMC Medical Informatics and Decision Making 2021 21:352

    Content type: Software

    Published on:

  44. This study aimed to assess the performance improvement for machine learning-based hospital length of stay (LOS) predictions when clinical signs written in text are accounted for and compared to the traditional...

    Authors: Jan Chrusciel, François Girardon, Lucien Roquette, David Laplanche, Antoine Duclos and Stéphane Sanchez

    Citation: BMC Medical Informatics and Decision Making 2021 21:351

    Content type: Research

    Published on:

  45. Patients with severe Coronavirus disease 19 (COVID-19) typically require supplemental oxygen as an essential treatment. We developed a machine learning algorithm, based on deep Reinforcement Learning (RL), for...

    Authors: Hua Zheng, Jiahao Zhu, Wei Xie and Judy Zhong

    Citation: BMC Medical Informatics and Decision Making 2021 21:350

    Content type: Research

    Published on:

  46. In 2008, the Institut Català de la Salut (ICS, Catalan Health Institute) implemented a prescription decision support system in its electronic clinical workstation (ECW), which automatically generates online al...

    Authors: M. Àngels Pons-Mesquida, Míriam Oms-Arias, Eduard Diogène-Fadini and Albert Figueras

    Citation: BMC Medical Informatics and Decision Making 2021 21:349

    Content type: Research

    Published on:

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