Accuracy of machine learning methods in predicting prognosis of patients with psychotic spectrum disorders: a systematic review
Objectives We aimed to examine the predictive accuracy of functioning, relapse or remission among patients with psychotic disorders, using machine learning methods. We also identified specific features that were associated with these clinical outcomes.Design The methodology of this review was guided...
Saved in:
| Main Authors: | Wilson W S Tam, Kang Sim, Jing Ling Tay, Yun Ling Ang |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
BMJ Publishing Group
2025-02-01
|
| Series: | BMJ Open |
| Online Access: | https://bmjopen.bmj.com/content/15/2/e084463.full |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Genetic insights into psychotic major depressive disorder: bridging the mood-psychotic disorder spectrumResearch in context
by: Thuy-Dung Nguyen, et al.
Published: (2025-02-01) -
Editorial: Violence and mental health. focus on schizophrenia spectrum and psychotic disorders
by: Massimo Tusconi, et al.
Published: (2025-05-01) -
Impact of a Virtual Reality Intervention on Stigma, Empathy, and Attitudes Toward Patients With Psychotic Disorders Among Mental Health Care Professionals: Randomized Controlled Trial
by: Jing Ling Tay, et al.
Published: (2025-01-01) -
Exposotypes in psychotic disorders
by: Walid Yassin, et al.
Published: (2025-08-01) -
Obsessive-compulsive symptoms masquerading as psychotic symptoms in an adolescent with autism spectrum disorder (ASD)
by: Noura Alabrach, et al.
Published: (2025-05-01)