Identifying major predictors for parenting stress in a caregiver of autism spectrum disorder using machine learning models.

ABSTRACT:

Introduction

Previous studies have investigated predictive factors for parenting stress in caregivers of autism spectrum disorder (ASD) patients using traditional statistical approaches, but their study settings and results were inconsistent. Herein, this study aimed to identify major predictors for parenting stress in this population by developing explainable machine learning models.

Methods

Study participants were collected from the Department of Child and Adolescent Psychiatry, Severance Hospital, Yonsei University College of Medicine, Seoul, the Republic of Korea between March 2016 and October 2020. A total of 36 model features were used, which include subscales of the Minnesota Multiphasic Personality Inventory-2 (MMPI-2) for caregivers' psychopathology, Social Responsi

SUBMITTER: Choi H 

PROVIDER: S-EPMC10495987 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature