Hanna Kwiendacz, Agata M Wijata, Jakub Nalepa, Julia Piaśnik, Justyna Kulpa, Mikołaj Herba, Sylwia Boczek, Kamil Kegler, Mirela Hendel, Krzysztof Irlik, Janusz Gumprecht, Gregory Y H Lip, Katarzyna Nabrdalik
AIMS: As cardiovascular disease (CVD) is a leading cause of death for patients with diabetes mellitus (DM), we aimed to find important factors that predict cardiovascular (CV) risk using a machine learning (ML) approach. METHODS AND RESULTS: We performed a single center, observational study in a cohort of 238 DM patients (mean age ± SD 52.15 ± 17.27 years, 54% female) as a part of the Silesia Diabetes-Heart Project. Having gathered patients' medical history, demographic data, laboratory test results, results from the Michigan Neuropathy Screening Instrument (assessing diabetic peripheral neuropathy) and Ewing's battery examination (determining the presence of cardiovascular autonomic neuropathy), we managed use a ML approach to predict the occurrence of overt CVD on the basis of five most discriminative predictors with the area under the receiver operating characteristic curve of 0...
August 24, 2023: Cardiovascular Diabetology