Prediction Models — Development, Evaluation, and Clinical Application
Michael Pencina, Benjamin A. Goldstein, Ralph B. D’Agostino
Abstract
Prediction models’ newfound importance and the emergence of model development based on machine learning raise questions about how to ensure their safety and efficacy, given their growing role in risk stratification, care pathways, and clinical outcomes.
Topics & Concepts
MedicineRisk stratificationIntensive care medicineRisk analysis (engineering)Predictive modellingMachine learningComputer scienceInternal medicineMachine Learning in HealthcareHealth Systems, Economic Evaluations, Quality of LifeChronic Disease Management Strategies