A Predictive Analysis of Autism Spectrum Disorder Using Ensemble Techniques of Machine Learning-Reference-Cited by-同舟云学术

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A Predictive Analysis of Autism Spectrum Disorder Using Ensemble Techniques of Machine Learning

Published:2023-11-01 Issue: Volume:13 Page:558-565
ISSN:
Container-title:2023 3rd International Conference on Technological Advancements in Computational Sciences (ICTACS)
language:
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Author:

Udayakumar R.¹,Sreekumar K.²,Nivedha C.S.³,Sivasubramanian S.⁴,Umadevi V.⁴

Affiliation:

1. Kalinga University,CS and IT Department,Raipur,India

2. School of Computing, SRM Institute of Science & Technology,Dept. of Computing Technologies,Kattankulathur,Tamil Nadu,India

3. PSVP Engineering College,Chennai,India

4. New Prince Shri Bhavani College,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10389811/10389819/10390389.pdf?arnumber=10390389

Reference34 articles.

1. Identification of novel diagnostic neuroimaging biomarkers for autism spectrum disorder through convolutional neural network-based analysis of functional, structural, and diffusion tensor imaging data towards enhanced autism diagnosis;Adhikary;arXiv preprint,2023

2. Point-of-care test for tuberculosis - a boon in diagnosis

3. Artificial Intelligence, Bioinformatics, and Pathology

4. Focused web crawlers and its approaches

5. Artificial intelligence-enabled decision support in nephrology

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