Machine Learning–Based Risk Factor Analysis and Prediction Model Construction for the Occurrence of Chronic Heart Failure: Health Ecologic Study
This study offered insights into CHF risk prediction. Future research should focus on prospective studies, diverse data, advanced techniques, longitudinal studies, and exploring factor interactions for better CHF prevention and management.
Authors
- Xue Cai (ORCID: https://orcid.org/0000-0003-4647-3279)
- Jing Sun (ORCID: https://orcid.org/0000-0002-0097-2438)
- Guanjie Chen (ORCID: https://orcid.org/0000-0001-5946-6452)
- Cuirong Xu (ORCID: https://orcid.org/0000-0002-8979-0533)
- Tianyun Gao
- Hui Sun (ORCID: https://orcid.org/0009-0000-1350-5647)
- Yueyue Zheng
- Ruicong Yu (ORCID: https://orcid.org/0009-0006-0183-7525)
- Qian Xu (ORCID: https://orcid.org/0009-0003-6723-1436)
Institutions
- Charles Sturt University (AU)
- Zhongda Hospital Southeast University (CN)
- Southeast University (CN)
Publication Details
- Journal
- JMIR Medical Informatics
- Published
- 2024-12-25
- DOI
- https://doi.org/10.2196/64972
- Citations
- 1
- Primary Topic
- Heart Rate Variability and Autonomic Control
- Type
- article
- Field-Weighted Citation Impact
- 0.40
Funders
- Jiangsu Commission of Health
- Government of Jiangsu Province