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Machine Learning Technique to predict Autism Spectrum Disorder using Data Mining
by
Dina Ayman Abu Taleb,
Mohmed Mabrouk Morsey,
Manal Omar,
El-Sayed M. El-Horbaty
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 186 - Number 63 |
| Year of Publication: 2025 |
| Authors: Dina Ayman Abu Taleb, Mohmed Mabrouk Morsey, Manal Omar, El-Sayed M. El-Horbaty |
10.5120/ijca2025924437
|
Dina Ayman Abu Taleb, Mohmed Mabrouk Morsey, Manal Omar, El-Sayed M. El-Horbaty . Machine Learning Technique to predict Autism Spectrum Disorder using Data Mining. International Journal of Computer Applications. 186, 63 ( Jan 2025), 20-26. DOI=10.5120/ijca2025924437
@article{
10.5120/ijca2025924437,
author = {
Dina Ayman Abu Taleb,
Mohmed Mabrouk Morsey,
Manal Omar,
El-Sayed M. El-Horbaty
},
title = { Machine Learning Technique to predict Autism Spectrum Disorder using Data Mining },
journal = {
International Journal of Computer Applications
},
issue_date = { Jan 2025 },
volume = { 186 },
number = { 63 },
month = { Jan },
year = { 2025 },
issn = { 0975-8887 },
pages = {
20-26
},
numpages = {9},
url = {
https://ijcaonline.org/archives/volume186/number63/machine-learning-technique-to-predict-autism-spectrum-disorder-using-data-mining/
},
doi = { 10.5120/ijca2025924437 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2025-01-31T17:28:30.727300+05:30
%A Dina Ayman Abu Taleb
%A Mohmed Mabrouk Morsey
%A Manal Omar
%A El-Sayed M. El-Horbaty
%T Machine Learning Technique to predict Autism Spectrum Disorder using Data Mining
%J International Journal of Computer Applications
%@ 0975-8887
%V 186
%N 63
%P 20-26
%D 2025
%I Foundation of Computer Science (FCS), NY, USA
Abstract
Autism Spectrum Disorder (ASD) is a developmental disability caused by differences in brain. Scientists believe there are multiple causes of ASD that act together to change the most common ways people develop. The diagnosis process for ASD must be early to provide the required clinical and mental care. In this paper, Machine Learning classifiers were applied using data mining techniques to develop a prediction model for ASD. The dataset utilized comprised 507 instances of children aged between 12 and 36 months. The experimental results show that all classifiers Logistic Regression (LR), Support Vector Machine (SVM), Decision tree, Naïve Bayes, and Artificial Neural Network (ANN) have an excellent accuracy between 95% to 100%. Furthermore, LR, SVM, and ANN have 100% accuracy.
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Index Terms
Computer Science
Information Sciences
Predictive Modeling
Classification algorithms
Data mining
Healthcare Analytics
Keywords