Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models
Aims: Schizophrenia is a psychiatric disorder characterized by diverse clinical presentations, posing challenges in early diagnosis and prognosis. Machine learning (ML) has emerged as a promising tool to enhance diagnostic accuracy, predict disease progression, and personalize treatment strategies....
Saved in:
| Main Authors: | Oluwatobi Idowu, Nicholas Aderinto, Gbolahan Olatunji, Emmanuel Kokori |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2025-06-01
|
| Series: | BJPsych Open |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2056472425101488/type/journal_article |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
The Efficacy of Omega-3 Fatty Acid Supplementation for Major Depressive Disorder in Adults: A Systematic Review and Meta-Analysis
by: Oluwatobi Idowu, et al.
Published: (2025-06-01) -
Effectiveness of mobile stroke units in reducing time to thrombolysis in acute ischemic stroke: a scoping review
by: Nicholas Aderinto, et al.
Published: (2025-06-01) -
Short videos, big impact: WHO and TikTok join forces
by: Ibiyinka Daramola, et al.
Published: (2025-06-01) -
Improving airway management in pediatric emergency intubation: A narrative review with a focus on bougie guidance in settings with limited resources
by: Mohamed Mohamed Belal, et al.
Published: (2024-12-01) -
Intraosseous vs. intravenous access in out-of-hospital cardiac arrest: a systematic review and meta-analysis of clinical outcomes
by: Emmanuel Kokori, et al.
Published: (2025-07-01)