Optimising test intervals for individuals with type 2 diabetes: A machine learning approach.
Journal:
PloS one
PMID:
39946322
Abstract
BACKGROUND: Chronic disease monitoring programs often adopt a one-size-fits-all approach that does not consider variation in need, potentially leading to excessive or insufficient support for patients at different risk levels. Machine learning (ML) developments offer new opportunities for personalised medicine in clinical practice.