A Three-Part Framework for Evaluating Clinical Prediction Models

Presentation Time: 09:30 AM - 09:45 AM

Abstract Keywords: Evaluation, Machine Learning, Informatics Implementation, Fairness and Elimination of Bias, Health Equity, Clinical Decision Support, Bioinformatics, Pediatrics
Primary Track: Applications
Programmatic Theme: Clinical Informatics

Despite the proliferation of clinical prediction models, few are implemented in-practice and even fewer lead to improved patient care. We propose a framework which unifies three conceptually independent evaluation methods, and we use a specific model as a case-study to demonstrate how this framework can be applied to comprehensively evaluate the usefulness of a clinical prediction model.

Speaker(s):
Ashley Oliver, MPH


Author(s):
Abdul Tariq, PhD - Children's Hospital of Philadelphia; Hojjat Salmasian, MD, MPH, PhD, FAMIA - Children's Hospital of Philadelphia;