Why are Machine Learning-based prediction models still unpopular in clinical practice?

Riley, RD; Dhiman, P; Bajpai, R; Navarro, CLA; Damen, J; Takada, T; Collins, GS; Ma, J; Moons, KG; Hooft, L

doi:10.1186/s41512-021-00094-7

Why are Machine Learning-based prediction models still unpopular in clinical practice?

Riley, RD; Dhiman, P; Bajpai, R; Navarro, CLA; Damen, J; Takada, T; Collins, GS; Ma, J; Moons, KG; Hooft, L

Authors

RD Riley

P Dhiman

Dr Ram Bajpai r.bajpai@keele.ac.uk

CLA Navarro

J Damen

T Takada

GS Collins

J Ma

KG Moons

L Hooft

Citation

Riley, R., Dhiman, P., Bajpai, R., Navarro, C., Damen, J., Takada, T., …Hooft, L. (2021). Why are Machine Learning-based prediction models still unpopular in clinical practice?. Diagnostic and Prognostic Research, 37 - 37. https://doi.org/10.1186/s41512-021-00094-7

Acceptance Date	Dec 10, 2021
Publication Date	Apr 1, 2021
Journal	Diagnostic and Prognostic Research
Print ISSN	2397-7523
Publisher	BioMed Central
Pages	37 - 37
Series Title	Methods for Evaluation of medical prediction Models, Tests And Biomarkers (MEMTAB) 2020 Symposium
DOI	https://doi.org/10.1186/s41512-021-00094-7
Publisher URL	https://diagnprognres.biomedcentral.com/articles/10.1186/s41512-021-00094-7#citeas