Prediction of 90 Day Readmission in Heart Failure with Preserved Ejection Fraction by Interpretable Machine Learning
Our model could help medical agencies achieve the early identification of 90 day readmission risk in HFpEF patients and reveal risk factors that provide valuable insights for treatments.
Authors
- Yanxia Huang (ORCID: https://orcid.org/0000-0002-5690-9649)
- Yuting Wan
- Jian-Ping Mei (ORCID: https://orcid.org/0000-0003-1678-6215)
- Xiaoyue Yang (ORCID: https://orcid.org/0000-0002-2993-2907)
- Baojia Zheng (ORCID: https://orcid.org/0000-0002-9797-7867)
- Yifeng Zheng (ORCID: https://orcid.org/0009-0002-8825-3784)
- Sikai Li
- Xiuru Shi
- Tao Liang
- Xiaohui Liu (ORCID: https://orcid.org/0000-0002-1329-5405)
Institutions
- Sun Yat-sen University (CN)
- Fifth Affiliated Hospital of Sun Yat-sen University (CN)
Publication Details
- Journal
- ESC Heart Failure
- Published
- 2024-08-21
- DOI
- https://doi.org/10.1002/ehf2.15033
- Citations
- 12
- Primary Topic
- Heart Failure Treatment and Management
- Type
- article
- Field-Weighted Citation Impact
- 4.82