Predicting the risk of mental disorders using complete blood count indicators: a machine learning approach
This study successfully developed a mental disorders prediction model based on the XGBoost algorithm and complete blood count data, providing clinicians with objective risk assessment indicators to assist in diagnosis and improve both efficiency and accuracy.
Authors
- Yuanjun Zou
- Yuan Su
- Kaikai Jia
- Xintong Wei (ORCID: https://orcid.org/0009-0003-0105-3147)
- Chao Xie
- Qi Xiong
Institutions
- Changchun University of Chinese Medicine (CN)
Publication Details
- Journal
- Frontiers in Medicine
- Published
- 2026-03-11
- DOI
- https://doi.org/10.3389/fmed.2026.1697770
- Primary Topic
- Mental Health via Writing
- Type
- article
- Field-Weighted Citation Impact
- 0.00