Machine learning in population health: Opportunities and threats
- PMID: 30481173
- PMCID: PMC6258474
- DOI: 10.1371/journal.pmed.1002702
Machine learning in population health: Opportunities and threats
Abstract
Abraham D. Flaxman and Theo Vos of the Institute for Health Metrics and Evaluation, University of Washington, discuss near-term applications for ML in population health and name their priorities for ongoing ML development.
Conflict of interest statement
I have read the journal's policy and the authors of this manuscript have the following competing interests: ADF has recently consulted for Kaiser Permanente, Agathos, NORC, and Sanofi.
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