Steps to avoid overuse and misuse of machine learning in clinical research

Victor Volovici*, Nicholas L. Syn, Ari Ercole, Joseph J. Zhao, Nan Liu

*Corresponding author for this work

Research output: Contribution to journalComment/Letter to the editorAcademicpeer-review

3 Citations (Scopus)
5 Downloads (Pure)

Abstract

Machine learning algorithms are a powerful tool in healthcare, but sometimes perform no better than traditional statistical techniques. Steps should be taken to ensure that algorithms are not overused or misused, in order to provide genuine benefit for patients.

Original languageEnglish
Pages (from-to)1996-1999
Number of pages4
JournalNature Medicine
Volume28
Issue number10
Early online date12 Sep 2022
DOIs
Publication statusPublished - Oct 2022

Bibliographical note

Funding Information:
We would like to thank M. van Bilsen for the figure and F. Liu for her valuable advice. V.V. wishes to thank D. Volovici for opening up the world of probability, statistics and machine learning.

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