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- Vol. 4 Issue 5
- Article
Machine Learning and Deep Learning Approaches For Brain Disease Diagnosis
Authors
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 In
- Volume 4, Issue 5 (2023)
- Published Online
- September-October 2023
- Pages
- 15-17
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
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Adapted Comput., pp. 1-11, Jul. 2020.
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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.
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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