Normalized sensitivity of multi-dimensional body composition biomarkers for risk change prediction.

ABSTRACT: The limitations of BMI as a measure of adiposity and health risks have prompted the introduction of many alternative biomarkers. However, ranking diverse biomarkers from best to worse remains challenging. This study aimed to address this issue by introducing three new approaches: (1) a calculus-derived, normalized sensitivity score (NORSE) is used to compare the predictive power of diverse adiposity biomarkers; (2) multiple biomarkers are combined into multi-dimensional models, for increased sensitivity and risk discrimination; and (3) new visualizations are introduced that convey complex statistical trends in a compact and intuitive manner. Our approach was evaluated on 23 popular biomarkers and 6 common medical conditions using a large database (National Health and Nutrition Survey, NHAN

SUBMITTER: Criminisi A 

PROVIDER: S-EPMC9300600 | biostudies-literature | 2022 Jul

REPOSITORIES: biostudies-literature