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  1. Online patient portals have the potential to improve patient engagement and health care outcomes. This is especially true among rural patient populations that may live far from their health care providers and ...

    Authors: Stephen K. Liu, Annette E. Osborn, Sigall Bell, John N. Mecchella, Shoshana Hort and John A. Batsis
    Citation: BMC Medical Informatics and Decision Making 2022 22:42
  2. Predictively diagnosing infectious diseases helps in providing better treatment and enhances the prevention and control of such diseases. This study uses actual data from a hospital. A multiple infectious dise...

    Authors: Mengying Wang, Zhenhao Wei, Mo Jia, Lianzhong Chen and Hong Ji
    Citation: BMC Medical Informatics and Decision Making 2022 22:41
  3. Syphilis is a sexually transmitted disease (STD) caused by Treponema pallidum subspecies pallidum. In 2016, it was declared an epidemic in Brazil due to its high morbidity and mortality rates, mainly in cases ...

    Authors: Ricardo A. M. Valentim, Gleyson J. P. Caldeira-Silva, Rodrigo D. da Silva, Gabriela A. Albuquerque, Ion G. M. de Andrade, Ana Isabela L. Sales-Moioli, Talita K. de B. Pinto, Angélica E. Miranda, Leonardo J. Galvão-Lima, Agnaldo S. Cruz, Daniele M. S. Barros and Anna Giselle C. D. R. Rodrigues
    Citation: BMC Medical Informatics and Decision Making 2022 22:40

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:74

  4. Coronary heart disease (CHD) has become the leading cause of death and one of the most serious epidemic diseases worldwide. CHD is characterized by urgency, danger and severity, and dynamic treatment strategie...

    Authors: Haihong Guo, Jiao Li, Hongyan Liu and Jun He
    Citation: BMC Medical Informatics and Decision Making 2022 22:39
  5. In the last decade, a lot of attention has been given to develop artificial intelligence (AI) solutions for mental health using machine learning. To build trust in AI applications, it is crucial for AI systems...

    Authors: Dalia Jaber, Hazem Hajj, Fadi Maalouf and Wassim El-Hajj
    Citation: BMC Medical Informatics and Decision Making 2022 22:38
  6. One of the primary obstacles to measure clinical quality is the lack of configurable solutions to make computers understand and compute clinical quality indicators. The paper presents a solution that can help ...

    Authors: Mengyang Li, Hailing Cai, Yunlong Zhi, Zehai Fu, Huilong Duan and Xudong Lu
    Citation: BMC Medical Informatics and Decision Making 2022 22:37
  7. Early detection and prediction of type two diabetes mellitus incidence by baseline measurements could reduce associated complications in the future. The low incidence rate of diabetes in comparison with non-di...

    Authors: Somayeh Sadeghi, Davood Khalili, Azra Ramezankhani, Mohammad Ali Mansournia and Mahboubeh Parsaeian
    Citation: BMC Medical Informatics and Decision Making 2022 22:36
  8. For clinical decision-making, an estimate of remaining lifetime is needed to assess benefit against harm of a treatment during the remaining lifespan. Here, we describe how to predict life expectancy based on ...

    Authors: Mieke Van Hemelrijck, Eugenio Ventimiglia, David Robinson, Rolf Gedeborg, Lars Holmberg, Pär Stattin and Hans Garmo
    Citation: BMC Medical Informatics and Decision Making 2022 22:35
  9. Unstructured data from electronic health records represent a wealth of information. Doc’EDS is a pre-screening tool based on textual and semantic analysis. The Doc’EDS system provides a graphic user interface ...

    Authors: Thibaut Pressat-Laffouilhère, Pierre Balayé, Badisse Dahamna, Romain Lelong, Kévin Billey, Stéfan J. Darmoni and Julien Grosjean
    Citation: BMC Medical Informatics and Decision Making 2022 22:34

    The Correction to this article has been published in BMC Medical Informatics and Decision Making 2022 22:107

  10. Semantic similarity is a valuable tool for analysis in biomedicine. When applied to phenotype profiles derived from clinical text, they have the capacity to enable and enhance ‘patient-like me’ analyses, autom...

    Authors: Luke T. Slater, Sophie Russell, Silver Makepeace, Alexander Carberry, Andreas Karwath, John A. Williams, Hilary Fanning, Simon Ball, Robert Hoehndorf and Georgios V. Gkoutos
    Citation: BMC Medical Informatics and Decision Making 2022 22:33
  11. Accurate prediction of healthcare costs is important for optimally managing health costs. However, methods leveraging the medical richness from data such as health insurance claims or electronic health records...

    Authors: Philipp Drewe-Boss, Dirk Enders, Jochen Walker and Uwe Ohler
    Citation: BMC Medical Informatics and Decision Making 2022 22:32
  12. Temporal pattern discovery (TPD) is a method of signal detection using electronic healthcare databases, serving as an alternative to spontaneous reporting of adverse drug events. Here, we aimed to replicate an...

    Authors: M. Lavallee, T. Yu, L. Evans, M. Van Hemelrijck, C. Bosco, A. Golozar and A. Asiimwe
    Citation: BMC Medical Informatics and Decision Making 2022 22:31
  13. Mobile applications (apps) have started to be used for workplace health promotion (WHP). However, the factors that lead to the usage of apps in the workplace from the end-user perspective remain unclear.

    Authors: Maren Junker, Markus Böhm, Mareike Franz, Tobias Fritsch and Helmut Krcmar
    Citation: BMC Medical Informatics and Decision Making 2022 22:30
  14. Decisions aids (DA) can support patients to make informed decisions about screening tests. This study describes the development and initial evaluation of a lung cancer screening (LCS) DA targeted towards survi...

    Authors: Rachel Broadbent, Tania Seale, Christopher J. Armitage and Kim Linton
    Citation: BMC Medical Informatics and Decision Making 2022 22:29
  15. Internet technologies have become important for older adults to not only seek, understand, and evaluate information on health management but also apply and share acquired knowledge. Despite the disparity in e-...

    Authors: Sun Ok Jung, Yoon Hee Son and Eunju Choi
    Citation: BMC Medical Informatics and Decision Making 2022 22:28
  16. Early prediction of noninvasive ventilation failure is of great significance for critically ill ICU patients to escalate or change treatment. Because clinically collected data are highly time-series correlated...

    Authors: Na Liang, Chengliang Wang, Jun Duan, Xin Xie and Yu Wang
    Citation: BMC Medical Informatics and Decision Making 2022 22:27
  17. The deployment of digital health systems may be impeded by barriers that are, or are linked to underlying enduring institutions. Attempting to challenge the barriers without addressing the underpinning institu...

    Authors: Dudzai Mureyi
    Citation: BMC Medical Informatics and Decision Making 2022 22:26
  18. Assessing prognosis is challenging for many physicians in various medical fields. Research shows that physicians who perform disability assessments consider six areas when evaluating a prognosis: disease, trea...

    Authors: Sylvia P. Snoeck-Krygsman, Frederieke G. Schaafsma, Birgit H. P. M. Donker-Cools, Carel T. J. Hulshof, Lyanne P. Jansen, René J. Kox and Jan L. Hoving
    Citation: BMC Medical Informatics and Decision Making 2022 22:25
  19. 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
  20. 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
  21. 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
  22. 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
  23. 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
  24. 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
  25. 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
  26. 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
  27. 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
  28. 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
  29. 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
  30. 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
  31. 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
  32. 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
  33. 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

  34. 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
  35. 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
  36. 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
  37. 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
  38. 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
  39. 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
  40. 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
  41. 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
  42. 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
  43. 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
  44. 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
  45. 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
  46. 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
  47. 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

  48. 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

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