Machine Learning Applications in Population and Public Health: Guidelines for Development, Testing, and Implementation.

ABSTRACT:

Unlabelled

Machine learning (ML), a subset of artificial intelligence, uses large datasets to identify patterns between potential predictors and outcomes. ML involves iterative learning from data and is increasingly used in population and public health. Examples include early warning of infectious disease outbreaks, predicting the future burden of noncommunicable diseases, and assessing public health interventions. However, ML can inadvertently produce biased outputs related to the quality and quantity of data, who is engaged and helping direct the analysis, and how findings are interpreted. Specific guidelines for using ML in population and public health have not yet been created. We assembled a diverse team of experts in computer science, statistical modeling, clinical and popula

SUBMITTER: Pinto AD 

PROVIDER: S-EPMC12551935 | biostudies-literature | 2025 Oct

REPOSITORIES: biostudies-literature