Can machine learning predict non-suicidal self-injury? A systematic review and meta-analysis.

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Bibliographic Details
Title: Can machine learning predict non-suicidal self-injury? A systematic review and meta-analysis.
Authors: Wen Q; Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China., Luo R; Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China., Wang Q; Department of Pediatrics, West China Second University Hospital, Sichuan University, Chengdu, Sichuan, China.; Key Laboratory of Birth Defects and Related Diseases of Women and Children (Sichuan University), Ministry of Education, Chengdu, Sichuan, China.
Source: Frontiers in public health [Front Public Health] 2026 Apr 30; Vol. 14, pp. 1763121. Date of Electronic Publication: 2026 Apr 30 (Print Publication: 2026).
Publication Type: Journal Article; Systematic Review; Meta-Analysis
Journal Info: Publisher: Frontiers Editorial Office Country of Publication: Switzerland NLM ID: 101616579 Publication Model: eCollection Cited Medium: Internet ISSN: 2296-2565 (Electronic) Linking ISSN: 22962565 NLM ISO Abbreviation: Front Public Health Subsets: MEDLINE
Database: MEDLINE Ultimate
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ISSN:2296-2565
DOI:10.3389/fpubh.2026.1763121