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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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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

    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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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

    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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  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
  47. Patients with hepatitis C virus (HCV) frequently remain at risk for cirrhosis after sustained virologic response (SVR). Existing cirrhosis predictive models for HCV do not account for dynamic antiviral treatme...

    Authors: Lauren A. Beste, Xuefei Zhang, Grace L. Su, Tony Van, George N. Ioannou, Brandon Oselio, Monica Tincopa, Boang Liu, Amit G. Singal, Ji Zhu and Akbar K. Waljee
    Citation: BMC Medical Informatics and Decision Making 2021 21:347

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