Predictive modeling of adolescent suicidal behavior using machine learning: Key features and algorithmic insights
Suicidal ideation prevalence among students is a growing concern that requires urgent attention.This review systematically analyzes 28 studies on the application of machine learning techniques for the early detection of suicidal ideation. Among these, Random Forest and SVM emerged as the most common...
Saved in:
| Main Authors: | Priya Metri, Swetta Kukreja |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2025-12-01
|
| Series: | MethodsX |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2215016125002997 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Suicide-related stigma and its relationship with help-seeking, mental health, suicidality and grief: scoping review
by: Jessica M. Wyllie, et al.
Published: (2025-03-01) -
Postoperative physiotherapy interventions in hospitalized adults undergoing pulmonary resection surgery. A protocol for a scoping review
by: Ruvistay Gutierrez-Arias, et al.
Published: (2025-06-01) -
Digital behavioral dietary interventions to promote a healthy diet among children and adolescents: a scoping review of technologies, design, behavioral theory, and assessed outcomes
by: Zoë van der Heijden, et al.
Published: (2024-12-01) -
Health literacy prediction models based on machine learning methods: a scoping review
by: PAN Xiang, TONG Yingge, LI Yixuan, NI Ke, CHENG Wenqian, XIN Mengyu, HU Yuying
Published: (2025-02-01) -
Crucial key performance indicators for hospital evaluation: A scoping review
by: Amin Talebpour, et al.
Published: (2025-05-01)