Apriori-Backed Fuzzy Unification and Statistical Inference in Feature Reduction: An Application in Prognosis of Autism in Toddlers-Reference-Cited by-同舟云学术

Apriori-Backed Fuzzy Unification and Statistical Inference in Feature Reduction: An Application in Prognosis of Autism in Toddlers

Published:2021 Issue: Volume: Page:233-254
ISSN:2194-5357
Container-title:Advances in Intelligent Systems and Computing
language:
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Author:

Maitra Shithi,Akter Nasrin,Zahan Mithila Afrina,Hossain Tonmoy,Shafiul Alam Mohammad

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-33-4299-6_20

Reference21 articles.

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2. Lyall, K., Croen, L., Daniels, J., Fallin, M.D., Ladd-Acosta, C., Lee, B.K., Park, B.Y., Snyder, N.W., Schendel, D., Volk, H., Windham, G.C.: The changing epidemiology of autism spectrum disorders. Ann. Rev. Public Health 20(38), 81–102 (2017). Mar

3. Dover, C.J., Le Couteur, A.: How to diagnose autism. Arch. Disease Childhood 92(6), 540–5 (2007). Jun 1

4. Thabtah, F.: An accessible and efficient autism screening method for behavioural data and predictive analyses. Health Inform. J. 25(4), 1739–55 (2019). Dec

5. Thabtah, F., Peebles, D.: A new machine learning model based on induction of rules for autism detection. Health Inform. J. 29, 1460458218824711 (2019). Jan

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