A Dynamic Prediction Model Supporting Individual Life Expectancy Prediction Based on Longitudinal Time-Dependent Covariates-Reference-Cited by-同舟云学术

A Dynamic Prediction Model Supporting Individual Life Expectancy Prediction Based on Longitudinal Time-Dependent Covariates

Published:2023-09 Issue:9 Volume:27 Page:4623-4632
ISSN:2168-2194
Container-title:IEEE Journal of Biomedical and Health Informatics
language:
Short-container-title:IEEE J. Biomed. Health Inform.

Author:

Zhang Chengfeng¹,LI Zhaojin¹^ORCID,Yang Zijing¹^ORCID,Huang Baoyi¹^ORCID,Hou Yawen²^ORCID,Chen Zheng¹^ORCID

Affiliation:

1. Department of Biostatistics, School of Public Health (Guangdong Provincial Key Laboratory of Tropical Disease Research), Southern Medical University, Guangzhou, China

2. Department of Statistics and Data Science, School of Economics, Jinan University, Guangzhou, China

Funder

National Natural Science Foundation of China

Basic and Applied Basic Research Foundation of Guangdong Province

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Health Information Management,Electrical and Electronic Engineering,Computer Science Applications,Health Informatics

Link

http://xplorestaging.ieee.org/ielx7/6221020/10242175/10188850.pdf?arnumber=10188850

Reference27 articles.

1. Developing machine learning algorithms for dynamic estimation of progression during active surveillance for prostate cancer

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3. Restricted mean survival time regression model with time‐dependent covariates

4. Incorporating longitudinal biomarkers for dynamic risk prediction in the era of big data: A pseudo‐observation approach

5. Predicting the restricted mean event time with the subject's baseline covariates in survival analysis

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