ASD-Detection

Detecting Austism SPectrum Disorder(ASD) in Adults and Children

Overview

• In this project, I have built and compared several classifiers to help with the diagnosis of ASD using the ASD Screening Data for Adults and Children datasets.
• These classifiers could be useful for proposing possible new methods of ASD screening, which should be time-efficient and accessible to help health professionals and inform individuals whether they should pursue formal clinical diagnosis.

Dataset

• Autistic Spectrum Disorder Screening Data for Adults and Children from UCI repo
• Data set includes 20 features of which 10 are demographic information and 10 are bahavior features from a questionaire
• Children, Adults

Models

• linear regression
• logistic regression
• Naive Bayes
• k Nearest Neighbor(kNN)
• Support Vector Machine(SVM)

Results

• Comparing all the classifiers, Logistic regression and SVM have the best performance
• Linear Regression, KNN and Naïve Bayes have their shortcomings