Reproducibility in Machine Learning for Health Research: Still a Ways to Go

March 29, 2021
Publications

McDermott M.B.A, Wang S, Marinsek N, Ranganath R, Foschini L, and Ghassemi M

March 29, 2021
Publications

Reproducibility in Machine Learning for Health Research: Still a Ways to Go

March 29, 2021
Publications
Eve: Evidation's brand mark which is a yellow glowing orb

ABSTRACT: Machine learning for health must be reproducible to ensure reliable clinical use. We evaluated 511 scientific papers across several machine learning subfields and found that machine learning for health compared poorly to other areas regarding reproducibility metrics, such as dataset and code accessibility. We propose recommendations to address this problem.

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