Computer platform for Autism diagnosis and ABA therapy recommendatio
- Conditions
- Health Condition 1: F840- Autistic disorderHealth Condition 2: F70- Mild intellectual disabilitiesHealth Condition 3: F802- Mixed receptive-expressive language disorder
- Registration Number
- CTRI/2022/01/039254
- Lead Sponsor
- Department of Biotechnology
- Brief Summary
Not available
- Detailed Description
Not available
Recruitment & Eligibility
- Status
- ot Yet Recruiting
- Sex
- Not specified
- Target Recruitment
- 0
Neurotypical
A child up to 24 months with a M-CHAT-R score below three and Developmental quotient >=85 on DP3.
A child beyond 24 months with CARS score < 30 and Developmental quotient >=85 on DP3
A child with ISAA scores < 70
For online enrolments, a child with SRS T-score <59 and Developmental quotient >=85 on DP3 would be included as neurotypical
ASD
A child up to 24 months with M-CHAT-R score >=3 and satisfying DSM5 criteria for ASD.
A child above 24 months with CARS 2 score >= 30.
A child with ISAA scores >= 70
For online enrolments, children with an established diagnosis of Autism Spectrum Disorder given by a developmental pediatrician or child psychiatrist, based on DSM-5 assessment/ CARS score >30/ ADOS/ ADI-R would be considered ASD.
Children with vision and hearing problems
Children with acute illness from the last 2 weeks or any other chronic illness
Children with Severe / profound GDD
Study & Design
- Study Type
- Observational
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method This is a diagnostic and treatment recommendation study, not an intervention study.Timepoint: 2.6 years
- Secondary Outcome Measures
Name Time Method Development of a digital platform that will automate the remote diagnosis process for children with ASD. <br/ ><br>Clinical Validation of the tool by testing on the blindsight data. <br/ ><br>Development of Artificial Intelligence-based digital platform that non-experts can use for prediction of ABA program <br/ ><br>Timepoint: 2.6 years