Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction

Comparison of State-of-the-Art Neural Network Survival Models with the Pooled Cohort Equations for Cardiovascular Disease Risk Prediction

Abstract Background The Pooled Cohort Equations (PCEs) are race- and sex-specific Cox proportional hazards (PH)-based models used for 10-year atherosclerotic cardiovascular disease (ASCVD) risk prediction with acceptable discrimination. In recent years, neural network models have gained increasing p...

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Bibliographic Details
Main Authors: Yu Deng, Lei Liu, Hongmei Jiang, Yifan Peng, Yishu Wei, Zhiyang Zhou, Yizhen Zhong, Yun Zhao, Xiaoyun Yang, Jingzhi Yu, Zhiyong Lu, Abel Kho, Hongyan Ning, Norrina B. Allen, John T. Wilkins, Kiang Liu, Donald M. Lloyd-Jones, Lihui Zhao
Format: Article
Language:English
Published: BMC 2023-01-01
Series:BMC Medical Research Methodology
Subjects:
Artificial intelligence
Cardiovascular disease
Cox regression
Deep learning
Machine learning
Neural network
Online Access:https://doi.org/10.1186/s12874-022-01829-w

Internet

https://doi.org/10.1186/s12874-022-01829-w

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