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....
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Cambridge University Press
2025-06-01
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| Series: | BJPsych Open |
| Online Access: | https://www.cambridge.org/core/product/identifier/S2056472425101488/type/journal_article |
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| _version_ | 1849316561791221760 |
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| author | Oluwatobi Idowu Nicholas Aderinto Gbolahan Olatunji Emmanuel Kokori |
| author_facet | Oluwatobi Idowu Nicholas Aderinto Gbolahan Olatunji Emmanuel Kokori |
| author_sort | Oluwatobi Idowu |
| collection | DOAJ |
| description | 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. This systematic review and meta-analysis synthesized current evidence on the application of ML in schizophrenia diagnosis, prognosis, and treatment response prediction. |
| format | Article |
| id | doaj-art-4c798f7ee308446ebebb276f6249ac20 |
| institution | Kabale University |
| issn | 2056-4724 |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Cambridge University Press |
| record_format | Article |
| series | BJPsych Open |
| spelling | doaj-art-4c798f7ee308446ebebb276f6249ac202025-08-20T03:51:43ZengCambridge University PressBJPsych Open2056-47242025-06-0111S44S4410.1192/bjo.2025.10148Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive ModelsOluwatobi Idowu0Nicholas Aderinto1Gbolahan Olatunji2Emmanuel Kokori3Cheshire and Wirral Partnership NHS Foundation Trust, Chester, United KingdomDepartment of Medicine, Ladoke Akintola University of Technology, Ogbomoso, NigeriaDepartment of Medicine and Surgery, University of Ilorin, Ilorin, NigeriaDepartment of Medicine and Surgery, University of Ilorin, Ilorin, NigeriaAims: 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. This systematic review and meta-analysis synthesized current evidence on the application of ML in schizophrenia diagnosis, prognosis, and treatment response prediction.https://www.cambridge.org/core/product/identifier/S2056472425101488/type/journal_article |
| spellingShingle | Oluwatobi Idowu Nicholas Aderinto Gbolahan Olatunji Emmanuel Kokori Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models BJPsych Open |
| title | Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models |
| title_full | Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models |
| title_fullStr | Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models |
| title_full_unstemmed | Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models |
| title_short | Machine Learning in Schizophrenia: A Systematic Review and Meta-Analysis of Diagnostic and Predictive Models |
| title_sort | machine learning in schizophrenia a systematic review and meta analysis of diagnostic and predictive models |
| url | https://www.cambridge.org/core/product/identifier/S2056472425101488/type/journal_article |
| work_keys_str_mv | AT oluwatobiidowu machinelearninginschizophreniaasystematicreviewandmetaanalysisofdiagnosticandpredictivemodels AT nicholasaderinto machinelearninginschizophreniaasystematicreviewandmetaanalysisofdiagnosticandpredictivemodels AT gbolahanolatunji machinelearninginschizophreniaasystematicreviewandmetaanalysisofdiagnosticandpredictivemodels AT emmanuelkokori machinelearninginschizophreniaasystematicreviewandmetaanalysisofdiagnosticandpredictivemodels |