Reproducibility in Machine Learning for Health

Matthew B. A. McDermott
Matthew B. A. McDermott
Shirly Wang
Shirly Wang

RML@ICLR, 2019.

Cited by: 0|Views34
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Abstract:

Machine learning algorithms designed to characterize, monitor, and intervene on human health (ML4H) are expected to perform safely and reliably when operating at scale, potentially outside strict human supervision. This requirement warrants a stricter attention to issues of reproducibility than other fields of machine learning. In thi...More

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