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

Digital Health Reporting Standards, Quality and Transparency in e-Research (63) Electronic/Mobile Data Capture, Internet-based Survey & Research Methodology (782) Big Data (215) Advanced Data Analytics in eHealth (104)

Published on in Vol 18, No 12 (2016): December

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Guidelines for Developing and Reporting Machine Learning Predictive Models in Biomedical Research: A Multidisciplinary View

Authors of this article:

Wei Luo1 Author Orcid Image ;   Dinh Phung2 Author Orcid Image ;   Truyen Tran2 Author Orcid Image ;   Sunil Gupta2 Author Orcid Image ;   Santu Rana2 Author Orcid Image ;   Chandan Karmakar2 Author Orcid Image ;   Alistair Shilton2 Author Orcid Image ;   John Yearwood2 Author Orcid Image ;   Nevenka Dimitrova3 Author Orcid Image ;   Tu Bao Ho4 Author Orcid Image ;   Svetha Venkatesh2 Author Orcid Image ;   Michael Berk2 Author Orcid Image
Article Authors Cited by (567) Tweetations (156) Metrics

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  543. Herrera C, Gimenes de Sousa F, Herrera J, Cavalli R. Development of Automated Triggers in Ambulatory Settings in Brazil: Research Protocol for Design Thinking and Machine Learning (Preprint). JMIR Research Protocols 2023 View
  544. Malik S, Tenorio B, Moond V, Dahiya D, Vora R, Dbouk N. Systematic review of machine learning models in predicting the risk of bleed/grade of esophageal varices in patients with liver cirrhosis: A comprehensive methodological analysis. Journal of Gastroenterology and Hepatology 2024 View
  545. Kaur K. Artificial intelligence in robo dentistry: A double-edged sword. Journal of Oral Medicine, Oral Surgery, Oral Pathology and Oral Radiology 2024;10(2):88 View
  546. Zhai X, Chen M. Accelerated Design for Perovskite-Oxide-Based Photocatalysts Using Machine Learning Techniques. Materials 2024;17(12):3026 View
  547. Tariq R, Malik S, Redij R, Arunachalam S, Faubion W, Khanna S. Machine Learning-Based Prediction Models for Clostridioides difficile Infection: A Systematic Review. Clinical and Translational Gastroenterology 2024;15(6):e1 View
  548. Okada M, Katsuki M, Shimazu T, Takeshima T, Mitsufuji T, Ito Y, Ohbayashi K, Imai N, Miyahara J, Matsumori Y, Nakazato Y, Fujita K, Hoshino E, Yamamoto T. Preliminary External Validation Results of the Artificial Intelligence-Based Headache Diagnostic Model: A Multicenter Prospective Observational Study. Life 2024;14(6):744 View
  549. Zhu Y, Deng X, Zhang X, Tian L, Cui C, Lei F, Xu G, Li H, Liu L, Ma H. Predicting distant metastasis in nasopharyngeal carcinoma using gradient boosting tree model based on detailed magnetic resonance imaging reports. World Journal of Radiology 2024;16(6):203 View

Books/Policy Documents

  1. F.I. Osman A. Artificial Intelligence - Applications in Medicine and Biology. View
  2. Dankers F, Traverso A, Wee L, van Kuijk S. Fundamentals of Clinical Data Science. View
  3. Allen B, Gish R, Dreyer K. Artificial Intelligence in Medical Imaging. View
  4. Haymond S, Julian R, Gill E, Master S. Biochemical and Molecular Basis of Pediatric Disease. View
  5. Cychnerski J, Dziubich T. New Trends in Database and Information Systems. View
  6. Schwarzerova J, Kostoval A, Bajger A, Jakubikova L, Pierides I, Popelinsky L, Sedlar K, Weckwerth W. Information Technology in Biomedicine. View
  7. Dee E, Yu R, Celi L, Nehal U. Artificial Intelligence in Medicine. View
  8. Kalpana , Srivastava A, Jha S. Predictive Modeling in Biomedical Data Mining and Analysis. View
  9. Dee E, Yu R, Celi L, Nehal U. Artificial Intelligence in Medicine. View
  10. Lopez-Ramos L. Intelligent Technologies and Applications. View
  11. Urbanowicz R, Zhang R, Cui Y, Suri P. Genetic Programming Theory and Practice XIX. View
  12. McMahon J, Craig A, Cameron I. Service-Oriented Computing – ICSOC 2023 Workshops. View