Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review
Rountree L, Lin Y, Liu C, Salvatore M, Admon A, Nallamothu B, Singh K, Basu A, Bu F, Mukherjee B. Reporting of Fairness Metrics in Clinical Risk Prediction Models Used for Precision Health: Scoping Review. Online Journal Of Public Health Informatics 2025, 17: e66598. PMID: 39962044, PMCID: PMC11966066, DOI: 10.2196/66598.Peer-Reviewed Original ResearchClinical risk prediction modelsRisk prediction modelFairness metricsSex-stratified modelsEthnicity dataPrecision healthClinical risk predictionSensitive featuresStudy populationCardiovascular diseaseRisk predictionEvaluate potential disparitiesTraining dataPotential disparitiesEmpirical evaluationPrediction modelPrimary preventionInformatics systemsHigh-impact publicationsCOVID-19Metrics usageStudy cohortGoogle ScholarImplementation frameworkCOVID-19 model
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