Machine learning in precision diabetes care and cardiovascular risk prediction.

ABSTRACT: Artificial intelligence and machine learning are driving a paradigm shift in medicine, promising data-driven, personalized solutions for managing diabetes and the excess cardiovascular risk it poses. In this comprehensive review of machine learning applications in the care of patients with diabetes at increased cardiovascular risk, we offer a broad overview of various data-driven methods and how they may be leveraged in developing predictive models for personalized care. We review existing as well as expected artificial intelligence solutions in the context of diagnosis, prognostication, phenotyping, and treatment of diabetes and its cardiovascular complications. In addition to discussing the key properties of such models that enable their successful application in complex risk prediction,

SUBMITTER: Oikonomou EK 

PROVIDER: S-EPMC10521578 | biostudies-literature | 2023 Sep

REPOSITORIES: biostudies-literature