Machine learning-based ABA treatment recommendation and personalization for autism spectrum disorder: an exploratory study

Abstract

Autism spectrum is a brain development condition that impairs an individual’s capacity to communicate socially and manifests through strict routines and obsessive–compulsive behavior. Applied behavior analysis (ABA) is the gold-standard treatment for autism spectrum disorder (ASD). However, as the number of ASD cases increases, there is a substantial shortage of licensed ABA practitioners, limiting the timely formulation, revision, and implementation of treatment plans and goals. Additionally, the subjectivity of the clinician and a lack of data-driven decision-making affect treatment quality. We address these obstacles by applying two machine learning algorithms to recommend and personalize ABA treatment goals for 29 study participants with ASD. The patient similarity and collaborative filtering methods predicted ABA treatment with an average accuracy of 81–84%, with a normalized discounted cumulative gain of 79–81% (NDCG) compared to clinician-prepared ABA treatment recommendations. Additionally, we assess the two models’ treatment efficacy (TE) by measuring the percentage of recommended treatment goals mastered by the study participants. The proposed treatment recommendation and personalization strategy are generalizable to other intervention methods in addition to ABA and for other brain disorders. This study was registered as a clinical trial on November 5, 2020 with trial registration number CTRI/2020/11/028933.

Computer Vision-Based Assessment of Autistic Children: Analyzing Interactions, Emotions, Human Pose, and Life Skills

“…Due to the availability of multimodal data from diverse bio-behavioral sources, such as videos including ASD behavioral features [12], [43], audio [44], facial expressions [45], and Electronic Health Record (EHR) data [46], DL applications trained on unstructured data have accelerated the detection and management of ASD and can be implemented at the point of care [12], [42], [43], [47]- [49].…”

Analysis of Operating System Using TOPSIS MCDM Method

“…For this motive, a low-stage operating machine assault could be very smooth. The hassle for defenders is to find a manner to boom the complexity of the running system [9]. Operating machines give various services associated with vital assets like CPU, important reminiscence; storage and all enter and output devices.…”

“…A better superior response increases the benefit criteria and lowers the price criterion, while a worse superior response raises the price Criterion and Advantage Reduces criteria TOPSIS makes full use of the attribute records [1].TOPSIS method, two fuzzy respectively membership functions and a census sheet. this title Basic attributes of FMCDM Motivations for use, open challenges and constraints to its use, and recommendations for researchers to increase FMCDM acceptance and use [9]. TOPSIS is another mead because of its characteristics More effective than heuristics Fewer parameters, more stability multiple response values when the value changes contain The TOPSIS algorithm was developed [23].TOPSIS rankings are given by five distance measurements, different Random problems of sizes are created are calculated in the numerical example.…”

Clinical Outcomes of a Hybrid Model Approach to Applied Behavioral Analysis Treatment

“…Given the complex and heterogeneous nature of ASD and the required individualization of ABA treatment plans, technology can be a powerful tool to provide a more consistent approach for the delivery of ABA treatment and for maximizing desired outcomes in ASD patients. More advanced technology, such as artificial intelligence, may also have the potential to identify individual patient traits and objectively recommend personalized treatment approaches to optimize outcomes [ 25 ]. This clinical outcomes paper serves the dual purpose of contributing to the body of research about outcomes related to ABA therapy and discusses how implementing changes to a traditional (or conventional) ABA treatment delivery model (thus resulting in a “hybrid model”) can impact patient outcomes.…”