Katarzyna Nabrdalik, Hanna Kwiendacz, Karolina Drożdż, Krzysztof Irlik, Mirela Hendel, Agata M Wijata, Jakub Nalepa, Elon Correa, Weronika Hajzler, Oliwia Janota, Wiktoria Wójcik, Janusz Gumprecht, Gregory Y H Lip
We aimed to develop a machine learning (ML) model for predicting cardiovascular (CV) events in patients with diabetes (DM). This was a prospective, observational study where clinical data of patients with diabetes hospitalized in the diabetology center in Poland (years 2015 - 2020) were analyzed using ML. The occurrence of new CV events following discharge was collected in the follow-up time for up to 5 years and 9 months. An end-to-end ML technique which exploits the neighborhood component analysis for elaborating discriminative predictors, followed by a hybrid sampling/boosting classification algorithm, multiple logistic regression, or unsupervised hierarchical clustering was proposed...
March 13, 2023: Current Problems in Cardiology