Machine Learning Predicts Cardiovascular Events in Patients With Diabetes: The Silesia Diabetes-Heart Project-Reference-Cited by-同舟云学术

Machine Learning Predicts Cardiovascular Events in Patients With Diabetes: The Silesia Diabetes-Heart Project

Published:2023-07 Issue:7 Volume:48 Page:101694
ISSN:0146-2806
Container-title:Current Problems in Cardiology
language:en
Short-container-title:Current Problems in Cardiology

Author:

Nabrdalik Katarzyna,Kwiendacz Hanna,Drożdż Karolina,Irlik Krzysztof,Hendel Mirela,Wijata Agata M.,Nalepa Jakub,Correa Elon,Hajzler Weronika,Janota Oliwia,Wójcik Wiktoria,Gumprecht Janusz,Lip Gregory Y.H.

Funder

Medical University of Silesia

Śląski Uniwersytet Medyczny

Silesian University of Technology

Publisher

Elsevier BV

Subject

Cardiology and Cardiovascular Medicine,General Medicine

Reference29 articles.

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4. Coronary risk prediction for those with and without diabetes;Eur J Cardiovasc Prev Rehabil,2006

5. The Framingham and UK Prospective Diabetes Study (UKPDS) risk equations do not reliably estimate the probability of cardiovascular events in a large ethnically diverse sample of patients with diabetes: the action in diabetes and vascular disease: pretera;Kengne;Diabetologia,2010

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1. Metabolically “extremely unhealthy” obese and non-obese people with diabetes and the risk of cardiovascular adverse events: the Silesia Diabetes - Heart Project;Cardiovascular Diabetology;2024-09-03

2. Predicting angiographic coronary artery disease using machine learning and high-frequency QRS;BMC Medical Informatics and Decision Making;2024-07-31

3. Refining the Cardiovascular Health Score in Patients With Type 2 Diabetes;JACC: Asia;2024-06

4. Machine Learning Identifies Metabolic Dysfunction–Associated Steatotic Liver Disease in Patients With Diabetes Mellitus;The Journal of Clinical Endocrinology & Metabolism;2024-02-08

5. Machine learning identification of risk factors for heart failure in patients with diabetes mellitus with metabolic dysfunction associated steatotic liver disease (MASLD): the Silesia Diabetes-Heart Project;Cardiovascular Diabetology;2023-11-20