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Advancing the beneficial use of machine learning in health care and medicine: Toward a community understanding

Modern statistical modeling techniques—often called machine learning—are posited as a transformative force for human health. This month we present our Special Issue, Guest Edited by Atul Butte, Suchi Saria, and Aziz Sheikh, on machine learning-based advances in clinical care, health systems, and pathophysiology.

The Special Issue provides a broad perspective on what machine learning can currently achieve in health and biomedicine, and presents expert commentary on future benefits and constraints of bringing machine learning into clinical care, population health, and public policy.

In our accompanying Editorial, the PLOS Medicine Editors parlay the lessons we've learned during the development of the Special Issue into guidance for generating machine learning-based models that are demonstrably valid and fit-for-purpose.

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