Risk prediction for cardiovascular events and all-cause mortality in maintenance hemodialysis patients
Overall, ML models provided a more reliable prognostic assessment than Cox regression models for predicting CVE and all-cause mortality in MHD patients over the observation period.
Authors
- Santao Ou (ORCID: https://orcid.org/0000-0003-4149-1996)
- Xiao Liu (ORCID: https://orcid.org/0000-0002-5363-6331)
- Manting Cao (ORCID: https://orcid.org/0009-0002-8107-6447)
- Jin‐Liang Feng (ORCID: https://orcid.org/0000-0002-6617-245X)
- Xiangqiong Wen
Institutions
- Affiliated Hospital of Southwest Medical University (CN)
- First Affiliated Hospital of Sichuan Medical University (CN)
- Shanghai Clinical Research Center (CN)
- Pudong New Area People's Hospital (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2025-10-27
- DOI
- https://doi.org/10.3389/fmed.2025.1660154
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00