Machine-learning-based cost prediction models for inpatients with mental disorders in China
Machine learning algorithms, particularly RF algorithm, enhance accuracy of predicting ADHC for mental health patients. The findings of this study provide evidence for setting up more reasonable insurance payment standards for inpatients with mental disorders and support resource allocation in clinical practice.
Authors
- Xi Tu
- Xiaodong Luo (ORCID: https://orcid.org/0000-0002-0734-862X)
- Yuxuan Ma (ORCID: https://orcid.org/0000-0002-0925-8417)
- Linlin Hu (ORCID: https://orcid.org/0000-0001-6213-8732)
- Chen Wang
Institutions
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Peking Union Medical College Hospital (CN)
- National Clinical Research Center for Digestive Diseases (CN)
- Jinhua Central Hospital (CN)
Publication Details
- Journal
- BMC Psychiatry
- Published
- 2025-01-09
- DOI
- https://doi.org/10.1186/s12888-024-06358-y
- Citations
- 2
- Primary Topic
- Mental Health Treatment and Access
- Type
- article
- Field-Weighted Citation Impact
- 4.88
Funders
- Chinese Academy of Medical Sciences
- Chinese Academy of Engineering