Racial Fairness in Precision Medicine: Pediatric Asthma Prediction Algorithms

• Published in: American journal of health promotion Vol. 37; no. 2; pp. 239 - 242
• Main Authors: Pennington, Jordan, Rasnick, Erika, Martin, Lisa J., Biagini, Jocelyn M., Mersha, Tesfaye B., Parsons, Allison, Khurana Hershey, Gurjit K., Ryan, Patrick, Brokamp, Cole
• Format: Journal Article
• Language: English
• Published: Los Angeles, CA SAGE Publications 01.02.2023
• Subjects: Algorithms; Asthma - diagnosis; Child; Humans; Precision Medicine; Prospective Studies; Risk Factors; fairness; precision medicine; asthma; racial minority; pediatric

Purpose Quantify and examine the racial fairness of two widely used childhood asthma predictive precision medicine algorithms: the asthma predictive index (API) and the pediatric asthma risk score (PARS). Design Apply the API and PARS and evaluate model performance overall and when stratified by rac...