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Research Article

Machine Learning and Deep Learning Approaches For Brain Disease Diagnosis

Nishadevi.V1 Sandanalakshmi.S2
1Assistant Professor of Computer Science and Engineering, Mahendra College of Engineering, Salem, Tamilnadu, India. 2Department of Computer Science and Engineering, Mahendra College of Engineering, Salem, Tamilnadu, India.

Published Online: September-October 2023

Pages: 15-17

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References

1. J. Paul and T. S. Sivarani, ''PC helped conclusion of mind cancer utilizing novel characterization methods,'' J. Surrounding Intell.
Adapted Comput., pp. 1-11, Jul. 2020.
2. Alzheimer's Sickness Neuroimaging Drive (ADNI).Gotten to: Oct. 15, 2020.[Online]. Accessible: http://adni.loni.usc.edu/
3. Australian Imaging Biomarker and Way of life Leader Investigation of Maturing.Gotten to: Oct. 15, 2020.[Online]. Accessible:
https://www.neurodegenerationresearch.eu/partner/australian-imaging
4. I. Almubark, L.- C. Chang, T. Nguyen, R. S. Turner, and X. Jiang, ''Early identification of Alzheimer's sickness utilizing patient
neuropsychological and mental information and AI methods,'' in Proc. IEEE Int. Conf. Enormous Information (Huge Information),
Dec. 2019, pp. 5971-5973.
5. G. Gosztolya, V. Vincze, L. Tóth, M. Pákáski, J. Kálmán, and I. Hoffmann, ''Recognizing gentle mental disability and gentle
Alzheimer's infection in light of unconstrained discourse utilizing ASR and phonetic elements,'' Comput. Discourse Lang., vol. 53,
pp. 181-197, Jan. 2021.

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