Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm

Prediction of Cardiovascular Complication in Patients with Newly Diagnosed Type 2 Diabetes Using an XGBoost/GRU-ODE-Bayes-Based Machine-Learning Algorithm

Background Cardiovascular disease is life-threatening yet preventable for patients with type 2 diabetes mellitus (T2DM). Because each patient with T2DM has a different risk of developing cardiovascular complications, the accurate stratification of cardiovascular risk is critical. In this study, we p...

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Bibliographic Details
Main Authors: Joonyub Lee, Yera Choi, Taehoon Ko, Kanghyuck Lee, Juyoung Shin, Hun-Sung Kim
Format: Article
Language:English
Published: Korean Endocrine Society 2024-02-01
Series:Endocrinology and Metabolism
Subjects:
cardiovascular diseases
diabetes mellitus, type 2
korea
machine learning
Online Access:http://www.e-enm.org/upload/pdf/enm-2023-1739.pdf

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