Intelligent Diagnosis of Autism Spectrum Disorder: Harnessing Machine Learning for Enhanced Early Detection
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-97-2550-2_27
Reference19 articles.
1. Thabtah F, Peebles D (2019) A new machine learning model based on induction of rules for autism detection. Health Inf J 26(1):264–286. https://doi.org/10.1177/1460458218824711
2. Baranwal A, Vanitha M (2020) Autistic spectrum disorder screening: prediction with machine learning models. In: 2020 International conference on emerging trends in information technology and engineering (ic-ETITE). https://doi.org/10.1109/ic-etite47903.2020.186
3. Tartarisco G et al (2020) Use of machine learning to investigate the quantitative checklist for autism in toddlers (Q-chat) towards early autism screening. https://doi.org/10.21203/rs.3.rs-40334/v1
4. Anirudh R, Thiagarajan JJ (2021) Machine learning methods for autism spectrum disorder classification. Neural Eng Techn Autism Spectrum Disord, pp 151–163. https://doi.org/10.1016/b978-0-12-822822-7.00008-9
5. Thabtah F (2017) Autism spectrum disorder screening. In: Proceedings of the 1st international conference on medical and health informatics 2017. https://doi.org/10.1145/3107514.3107515
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