An ensemble classification and binomial cumulative based PCA for diagnosis of parkinson’s disease and autism spectrum disorder
Author:
Publisher
Springer Science and Business Media LLC
Subject
Strategy and Management,Safety, Risk, Reliability and Quality
Link
https://link.springer.com/content/pdf/10.1007/s13198-022-01699-x.pdf
Reference31 articles.
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2. Bi XA, Wang Y, Shu Q, Sun Q, Xu Q (2018) Classification of autism spectrum disorder using random support vector machine cluster. Front Genet 9:18
3. Blauwendraat C, Nalls MA, Singleton AB (2020) The genetic architecture of Parkinson’s disease. The Lancet Neurology 19(2):170–178
4. Dhiman G, Vinoth Kumar V, Kaur A et al (2021) DON: deep learning and optimization-based framework for detection of novel coronavirus disease using X-ray images. Interdiscip Sci Comput Life Sci 13:260–272
5. Duvekot J, van der Ende J, Verhulst FC, Slappendel G, van Daalen E, Maras A, Greaves-Lord K (2017) Factors influencing the probability of a diagnosis of autism spectrum disorder in girls versus boys. Autism 21(6):646–658
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