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Research Article

Machine Learning and Deep Learning Approaches For Brain Disease Diagnosis

  • Paper ID 881
  • Volume 4, Issue 5
  • Pages 15-17
  • Published Online: September-October 2023
  • 14 Views
Open Access Peer Reviewed

Authors

  • 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.

Article Information

DOI
No DOI
Published Online
September-October 2023
Pages
15-17
Article Type
Research Article
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No DOI available for cross-reference

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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