Identification of Alzheimer’s disease using machine learning approach-Reference-Cited by-同舟云学术

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Identification of Alzheimer’s disease using machine learning approach

Published:2023 Issue: Volume: Page:
ISSN:0094-243X
Container-title:WOMEN IN PHYSICS: 7th IUPAP International Conference on Women in Physics
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Author:

Roy Sukanya,Dutta Stobak,Kundu Sagnik,Bhattacharya Sayani,Majumdar Pratyay,Saha Shivangi,Kundu Ashmita,Debnath Sneha

Publisher

AIP Publishing

Link

http://aip.scitation.org/doi/pdf/10.1063/5.0180687

Reference14 articles.

1. Shah, Aakash, Dhruvi Lalakiya, Shekha Desai, and Vibha Patel. "Early Detection of Alzheimer’s Disease Using Various Machine Learning Techniques: A Comparative Study." In 2020 4th International Conference on Trends in Electronics and Informatics (ICOEI)(48184), pp. 522–526. IEEE, 2020.

2. A new machine learning method for identifying Alzheimer's disease

3. Inexpensive, non-invasive biomarkers predict Alzheimer transition using machine learning analysis of the Alzheimer’s Disease Neuroimaging (ADNI) database

4. Classification of Alzheimer’s Disease with and without Imagery Using Gradient Boosted Machines and ResNet-50

5. Shahbaz, Muhammad, Shahzad Ali, Aziz Guergachi, Aneeta Niazi, and Amina Umer. "Classification of Alzheimer’s Disease using Machine Learning Techniques." In DATA, pp. 296–303. 2019.

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