Utilizing machine learning for predicting mortality in patients with heat-related illness who visited the emergency department
Machine learning-based prediction models are promising tools in accurately predicting mortality in HRI patients who present to the ED.
Authors
- Wan-Yin Kuo (ORCID: https://orcid.org/0000-0002-5332-6421)
- Mei‐I Sung
- Chien‐Cheng Huang (ORCID: https://orcid.org/0000-0003-3595-2952)
- Shih‐Bin Su (ORCID: https://orcid.org/0000-0001-8348-1433)
- How‐Ran Guo (ORCID: https://orcid.org/0000-0003-3343-3446)
- Hung-Jung Lin
- Chung‐Feng Liu (ORCID: https://orcid.org/0000-0001-6698-0273)
- Chien-Chin Hsu
Institutions
- National Sun Yat-sen University (TW)
- Kaohsiung Medical University (TW)
- Chi Mei Medical Center (TW)
- National Cheng Kung University Hospital (TW)
- Taipei Medical University (TW)
Publication Details
- Journal
- International Journal of Medical Informatics
- Published
- 2025-04-26
- DOI
- https://doi.org/10.1016/j.ijmedinf.2025.105951
- Citations
- 2
- Primary Topic
- Climate Change and Health Impacts
- Type
- article
- Field-Weighted Citation Impact
- 2.40
Funders
- Chi Mei Medical Center