Research on the severity of symptoms in children with ASD based on integrated machine learning and structural equation modeling: age-specific predictive features and mediation effect path analysis - Poll - MDSpire

Research on the severity of symptoms in children with ASD based on integrated machine learning and structural equation modeling: age-specific predictive features and mediation effect path analysis

  • By

  • Shimei Lu

  • Liangqiong Deng

  • Daoqing Gong

  • Xinyi Jia

  • Xiya Lang

  • Lianghui Diao

  • Liqin Ma

  • Pingjing Wen

  • June 17, 2026

  • 0 min

Share

Original Source(s)

Research on the severity of symptoms in children with ASD based on integrated machine learning and structural equation modeling: age-specific predictive features and mediation effect path analysis

  • by Shimei Lu, Liangqiong Deng, Daoqing Gong, Xinyi Jia, Xiya Lang, Lianghui Diao, Liqin Ma, Pingjing Wen

  • June 17, 2026

Related Content

Factors associated with psychological distress among family caregivers of preschool children with autism: an analysis

Factors influencing the sensory profile in patients with autism spectrum disorder from 16 months to 14 years: results of an observational study

Autism screening and diagnosis in children with congenital heart disease