Enhancing Autism Disease Classification Using a Hybrid GA-KNN Approach for Feature Selection-Reference-Cited by-同舟云学术

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Enhancing Autism Disease Classification Using a Hybrid GA-KNN Approach for Feature Selection

Published:2024-08-13 Issue: Volume:7 Page:1-7
ISSN:
Container-title:2024 15th International Conference on Information and Communication Systems (ICICS)
language:
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Author:

Yousef Maria¹,Al Shehab Laith¹,Ghani Doaa Abdel²,Alazzam Hadeel³,Ghatasheh Mohammad⁴

Affiliation:

1. Middel East University (MEU),Department of Computer Science,Amman,Jordan

2. Jordan University of Science and Technology,Department of Computer Science,Irbid,Jordan

3. Al-Balqa Applied University,Department of Intelligence Systems,Al-Salt,Jordan

4. Middel East University (MEU),Dept. of Computer Information Systems,Amman,Jordan

Funder

Middle East University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638270/10638272/10638319.pdf?arnumber=10638319

Reference24 articles.

1. DSM-5 and autism spectrum disorders (ASDs): an opportunity for identifying ASD subtypes

2. Autism spectrum disorders

3. The dependence of machine learning on electronic medical record quality;Ho

4. Use of machine learning methods in prediction of short-term outcome in autism spectrum disorders

5. Predicting Autism Spectrum Disorder Using Machine Learning Classifiers

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