Predicting Long-Term Mortality in Patients with Angina across the Spectrum of Dysglycemia: A Machine Learning Approach

Predicting Long-Term Mortality in Patients with Angina across the Spectrum of Dysglycemia: A Machine Learning Approach

We aimed to develop and validate a model for predicting mortality in patients with angina across the spectrum of dysglycemia. A total of 1479 patients admitted for coronary angiography due to angina were enrolled. All-cause mortality served as the primary endpoint. The models were validated with fiv...

Full description

Bibliographic Details
Main Authors: Yu-Hsuan Li, Wayne Huey-Herng Sheu, Wen-Chao Yeh, Yung-Chun Chang, I-Te Lee
Format: Article
Language:English
Published: MDPI AG 2021-06-01
Series:Diagnostics
Subjects:
angiography
Brier score
Harrell’s C-index
least absolute shrinkage and selection operator
machine learning
oral glucose tolerance test
Online Access:https://www.mdpi.com/2075-4418/11/6/1060

Internet

https://www.mdpi.com/2075-4418/11/6/1060

Similar Items