Dynamic Prediction of Cardiovascular Death among Old People with Mildly Reduced Kidney Function Using Deep Learning Models Based on a Prospective Cohort Study
A novel deep learning algorithm used in our study has shown its superior performance in the prediction of individual dynamics in longitudinal studies, which improves predictive power with increasing data input over time.
Authors
- Yicheng Zhao (ORCID: https://orcid.org/0000-0003-4389-6057)
- Jin Dong (ORCID: https://orcid.org/0000-0002-5753-1588)
- Zhuang Cui (ORCID: https://orcid.org/0000-0001-6495-766X)
- Chun Wang (ORCID: https://orcid.org/0000-0001-9447-0713)
- Yin Liu (ORCID: https://orcid.org/0000-0002-7506-4098)
- Jing Gao (ORCID: https://orcid.org/0000-0002-3613-9413)
- Changping Li (ORCID: https://orcid.org/0000-0003-2657-8532)
- Desheng Song
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Tianjin Medical University Eye Hospital (CN)
- Institute of Hematology & Blood Diseases Hospital (CN)
- Tianjin Chest Hospital (CN)
- Tianjin Medical University (CN)
Publication Details
- Journal
- Gerontology
- Published
- 2025-04-03
- DOI
- https://doi.org/10.1159/000545679
- Primary Topic
- Artificial Intelligence in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 0.00