Development and validation of a machine learning-augmented algorithm for diabetes screening in community and primary care settings: A population-based study.
Journal:
Frontiers in endocrinology
Published Date:
Nov 28, 2022
Abstract
BACKGROUND: Opportunely screening for diabetes is crucial to reduce its related morbidity, mortality, and socioeconomic burden. Machine learning (ML) has excellent capability to maximize predictive accuracy. We aim to develop ML-augmented models for diabetes screening in community and primary care settings.