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Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view

journal contribution

posted on 2016-12-01, 00:00 authored by Wei LuoWei Luo, Quoc-Dinh Phung, Truyen TranTruyen Tran, Sunil GuptaSunil Gupta, Santu RanaSantu Rana, Chandan KarmakarChandan Karmakar, Alistair ShiltonAlistair Shilton, John YearwoodJohn Yearwood, N Dimitrova, T B Ho, Svetha VenkateshSvetha Venkatesh, Michael BerkMichael Berk

Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view

History

Journal

Journal of Medical Internet Research

Volume

18

Issue

12

Article number

ARTN e323

Publisher

JMIR PUBLICATIONS, INC

Location

Canada

Publisher DOI

https://doi.org/10.2196/jmir.5870

ISSN

1438-8871

eISSN

1438-8871

Language

English

Author URL

http://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000391065600020&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a045e4b2bb1f2b747c68c720ec8913b7

Publication classification

C Journal article; C1 Refereed article in a scholarly journal

Copyright notice

2016, The Authors

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Guidelines for developing and reporting machine learning predictive models in biomedical research: A multidisciplinary view

Research Publications

Categories

Uncategorized

Keywords

Science & Technology Life Sciences & Biomedicine Health Care Sciences & Services Medical Informatics machine learning clinical prediction rule guideline RANDOM FOREST REGRESSION TREES TUTORIAL PITFALLS

Licence

All Rights Reserved

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