Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view
Version 3 2024-06-17, 21:58
Version 2 2024-06-04, 11:44
Version 1 2016-12-01, 00:00
journal contribution
posted on 2024-06-17, 21:58 authored by Wei LuoWei Luo, D Phung, Truyen TranTruyen Tran, Sunil GuptaSunil Gupta, Santu RanaSantu Rana, Chandan KarmakarChandan Karmakar, Alistair ShiltonAlistair Shilton, John YearwoodJohn Yearwood, N Dimitrova, TB Ho, Svetha VenkateshSvetha Venkatesh, Michael BerkMichael BerkGuidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view
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Location
CanadaOpen access
- Yes
Language
EnglishPublication classification
C Journal article, C1 Refereed article in a scholarly journalCopyright notice
2016, The AuthorsJournal
Journal of Medical Internet ResearchVolume
18Article number
ARTN e323ISSN
1438-8871eISSN
1438-8871Issue
12Publisher
JMIR PUBLICATIONS, INCPublication URL
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Science & TechnologyLife Sciences & BiomedicineHealth Care Sciences & ServicesMedical Informaticsmachine learningclinical prediction ruleguidelineRANDOM FORESTREGRESSIONTREESTUTORIALPITFALLSCentre for Pattern Recognition and Data AnalyticsSchool of MedicinePattern Recognition and Data AnalyticsSchool of Information Technology920410 Mental HealthFaculty of HealthInnovation in Mental and Physical Health and Clinical Treatment110999 Neurosciences not elsewhere classified3209 Neurosciences420313 Mental health services200409 Mental health
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