Early Detection of Autism by Extracting Features: A Case Study in Bangladesh-Reference-Cited by-同舟云学术

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Early Detection of Autism by Extracting Features: A Case Study in Bangladesh

Published:2019-01 Issue: Volume: Page:
ISSN:
Container-title:2019 International Conference on Robotics,Electrical and Signal Processing Techniques (ICREST)
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Author:

Satu Md. Shahriare,Farida Sathi Farha,Arifen Md. Sadrul,Hanif Ali Md.,Moni Mohammad Ali

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8640012/8644044/08644357.pdf?arnumber=8644357

Cited by 37 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Evaluation and benchmarking of hybrid machine learning models for autism spectrum disorder diagnosis using a 2-tuple linguistic neutrosophic fuzzy sets-based decision-making model;Neural Computing and Applications;2024-07-20

2. Impact of Machine Learning and Deep Learning Techniques in Autism;Advances in Medical Technologies and Clinical Practice;2024-05-31

3. Comparative Exploration of Machine Learning Models for Enhanced Autism Detection;2024 International Conference on Inventive Computation Technologies (ICICT);2024-04-24

4. Autism Spectrum Disorder Detection Via Eye Gaze Analysis;2024 2nd International Conference on Networking and Communications (ICNWC);2024-04-02

5. Autism spectrum disorder detection with kNN imputer and machine learning classifiers via questionnaire mode of screening;Health Information Science and Systems;2024-03-06

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