Predicting Suicidal Ideation Among Youths With Autism Spectrum Disorder: An Advanced Machine Learning Study.

This study aimed to predict suicidal ideation among youth with autism spectrum disorder (ASD) by applying machine learning techniques. A cross‐sectional sample of 368 ASD‐diagnosed young people (aged 18–24 years) was recruited, and 34 candidate predictors—including sociodemographic characteristics,...

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Bibliographic Details

Published in:	Clinical Psychology & Psychotherapy Vol. 32; no. 3; pp. 1 - 14
Main Authors:	Al‐Srehan, Hussein, Ayasrah, Mohammad Nayef, Al‐Rousan, Ayoub Hamdan, Khasawneh, Mohamad Ahmad Saleem, Gharaibeh, Mahmoud
Format:	research tables/charts Journal Article
Published:	Wiley-Blackwell May/Jun2025
Online Access:	View this record in EBSCOhost