This paper is in the following e-collection/theme issue:

E-Health / Health Services Research and New Models of Care (718) Clinical Information and Decision Making (1915) Consumer & Patient Education and Shared-Decision Making (862) Participatory Medicine & E-Patients (873) Decision Support for Health Professionals (1539) Machine Learning (2076) Prevention and Health Promotion (1362)

Published on in Vol 22, No 6 (2020): June

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/18585, first published .
Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach

Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach

Development of an Online Health Care Assessment for Preventive Medicine: A Machine Learning Approach

Authors of this article:

Cheng-Sheng Yu1, 2 Author Orcid Image ;   Yu-Jiun Lin1, 2 Author Orcid Image ;   Chang-Hsien Lin1, 2 Author Orcid Image ;   Shiyng-Yu Lin1, 2 Author Orcid Image ;   Jenny L Wu1, 2 Author Orcid Image ;   Shy-Shin Chang1, 2 Author Orcid Image
Article Authors Cited by (30) Tweetations (5) Metrics

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  15. Houssein E, Hosney M, Emam M, Younis E, Ali A, Mohamed W. Soft computing techniques for biomedical data analysis: open issues and challenges. Artificial Intelligence Review 2023;56(S2):2599 View
  16. Ahmed A, Al-Maamari M, Firouz M, Delen D. An Adaptive Simulated Annealing-Based Machine Learning Approach for Developing an E-Triage Tool for Hospital Emergency Operations. Information Systems Frontiers 2024;26(5):1893 View
  17. Jaiswal V, Suman P, Bisen D. An improved ensembling techniques for prediction of breast cancer tissues. Multimedia Tools and Applications 2023;83(11):31975 View
  18. Chiu K, Chen Y, Wang S, Chang T, Wu J, Shih C, Yu C. Exploring the Potential Performance of Fibroscan for Predicting and Evaluating Metabolic Syndrome using a Feature Selected Strategy of Machine Learning. Metabolites 2023;13(7):822 View
  19. Chang T, Chen Y, Lu H, Wu J, Mak K, Yu C. Specific patterns and potential risk factors to predict 3-year risk of death among non-cancer patients with advanced chronic kidney disease by machine learning. Medicine 2024;103(7):e37112 View
  20. Mendonça Ramos Simões M, Rocha Lima F, Barbosa Lugão H, de Paula N, Lincoln Silva C, Ferreira Ramos A, Cipriani Frade M. Development and validation of a machine learning approach for screening new leprosy cases based on the leprosy suspicion questionnaire. Scientific Reports 2025;15(1) View
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