Diagnosing schizophrenia with routine blood tests: a comparative analysis of machine learning algorithms
The machine learning models developed provided diagnostic accuracy comparable to studies utilizing more expensive biomarkers, highlighting potential clinical and economic advantages. External validation is recommended to further confirm the generalizability and clinical utility of these findings.
Authors
- Beyza Erdoğan Aktürk (ORCID: https://orcid.org/0000-0002-5072-9241)
- Nur Banu Oğur
- Yavuz Selim Oğur (ORCID: https://orcid.org/0000-0002-5258-8913)
- Ayşe Erdoğan Kaya (ORCID: https://orcid.org/0000-0002-6780-9301)
Institutions
- Sakarya University (TR)
- Hitit Üniversitesi (TR)
- Sakarya Eğitim ve Araştırma Hastanesi (TR)
- Tarsus University (TR)
Publication Details
- Journal
- Frontiers in Psychiatry
- Published
- 2025-08-19
- DOI
- https://doi.org/10.3389/fpsyt.2025.1630922
- Citations
- 2
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 4.96