ChaitanyaC22/Autistic-Spectrum-Disorder-ASD-Detection
This project aims to develop a robust classification model using test-takers' demographics and questionnaire responses from the ASD screening dataset to accurately identify individuals with Autistic Spectrum Disorder (ASD) through optimization of performance metrics.
No commits in the last 6 months.
Stars
3
Forks
—
Language
HTML
License
MIT
Category
Last pushed
Jan 29, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/ChaitanyaC22/Autistic-Spectrum-Disorder-ASD-Detection"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
anish-lakkapragada/Hand-Classification-For-Autism-Diagnosis
[JMIR '22, DataBricks '22] Code for Classification of Abnormal Hand Movement for Aiding in...
eockfen/EyeTism
Early detection of Autism Spectrum Disorder (ASD) is crucial for children's development, yet the...
nicknears/Brain-Disorder-Detection-Through-Eye-Movement
👁️ Analyze eye movements to detect brain disorders, utilizing wearable sensors for better...
Arnav2722/Autism_Prediction
This project builds an end-to-end machine learning pipeline to predict Autism Spectrum Disorder...
sainimal1ba-hue/AI-Powered-Sensory-Overload-Prevention-for-Autism
This is is an AI-powered hearing-aid companion app that predicts sensory overload in autistic...