Deep survival analysis for interpretable time-varying prediction of preeclampsia risk-Reference-Cited by-同舟云学术

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Deep survival analysis for interpretable time-varying prediction of preeclampsia risk

Published:2024-08 Issue: Volume:156 Page:104688
ISSN:1532-0464
Container-title:Journal of Biomedical Informatics
language:en
Short-container-title:Journal of Biomedical Informatics

Author:

Eberhard Braden W.,Gray Kathryn J.^ORCID,Bates David W.^ORCID,Kovacheva Vesela P.^ORCID

Publisher

Elsevier BV

Reference34 articles.

1. Classification based on event in survival machine learning analysis of cardiovascular disease cohort;Ahmad;BMC Cardiovasc. Disord.,2023

2. Estimating the optimal personalized treatment strategy based on selected variables to prolong survival via random survival forest with weighted bootstrap;Shen;J. Biopharm. Stat.,2018

3. Time-to-event data: an overview and analysis considerations;Le-Rademacher;J. Thorac. Oncol. Off. Publ. Int. Assoc. Study Lung Cancer,2021

4. Regression models and life-tables;Cox;J. R. Stat. Soc. B. Methodol.,1972

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