Optimizing clinico-genomic disease prediction across ancestries: a machine learning strategy with Pareto improvement.
Journal:
Genome medicine
Published Date:
Jun 4, 2024
Abstract
BACKGROUND: Accurate prediction of an individual's predisposition to diseases is vital for preventive medicine and early intervention. Various statistical and machine learning models have been developed for disease prediction using clinico-genomic data. However, the accuracy of clinico-genomic prediction of diseases may vary significantly across ancestry groups due to their unequal representation in clinical genomic datasets.