Machine learning determination of applied behavioral analysis treatment plan type.

ABSTRACT:

Background

Applied behavioral analysis (ABA) is regarded as the gold standard treatment for autism spectrum disorder (ASD) and has the potential to improve outcomes for patients with ASD. It can be delivered at different intensities, which are classified as comprehensive or focused treatment approaches. Comprehensive ABA targets multiple developmental domains and involves 20-40 h/week of treatment. Focused ABA targets individual behaviors and typically involves 10-20 h/week of treatment. Determining the appropriate treatment intensity involves patient assessment by trained therapists, however, the final determination is highly subjective and lacks a standardized approach. In our study, we examined the ability of a machine learning (ML) prediction model to classify which treatment i

SUBMITTER: Maharjan J 

PROVIDER: S-EPMC9981822 | biostudies-literature | 2023 Mar

REPOSITORIES: biostudies-literature