Predicting the hospitalization burdens of patients with mental disease: a multiple model comparison
This study showcased the effectiveness of machine learning methods in predicting the hospitalization burden of inpatients with mental disorders, thereby offering scientific decision support for medical institutions. This approach contributes to enhancing the quality of patient care and optimizing the efficiency of medical resource utilization.
Authors
- Lu Hou (ORCID: https://orcid.org/0009-0005-7559-7256)
- Jing Zhang (ORCID: https://orcid.org/0009-0004-2358-1423)
- Li Li (ORCID: https://orcid.org/0000-0002-8280-7291)
- Zhiguo Liu (ORCID: https://orcid.org/0000-0001-7325-6478)
- Ziyu Yang (ORCID: https://orcid.org/0009-0006-1077-5944)
- Y. Weng (ORCID: https://orcid.org/0000-0001-7135-5675)
Institutions
- Xuzhou Medical College (CN)
- Jiangsu Vocational College of Medicine (CN)
- Second People’s Hospital of Huai’an (CN)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-06-18
- DOI
- https://doi.org/10.3389/fpsyt.2025.1474786
- Primary Topic
- Schizophrenia research and treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00