Machine learning prediction model for 28-day mortality among hepatic failure patients complicated by acute respiratory distress syndrome
ML approaches exhibited promising performance in predicting 28-day mortality among hepatic failure patients complicated by ARDS. These models may aid in guiding treatment decisions for patients with hepatic failure patients.
Authors
- Zhishui Chen (ORCID: https://orcid.org/0000-0003-0849-4474)
- Wang Yi
- Yang Lv
- Liu Song
Institutions
- Nanjing Jiangning Hospital (CN)
- Tongji Hospital (CN)
- Huazhong University of Science and Technology (CN)
Publication Details
- Journal
- Digital Health
- Published
- 2025-05-01
- DOI
- https://doi.org/10.1177/20552076251408533
- Primary Topic
- Sepsis Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00