Recursive Feature Elimination with Cross Validation for Alzheimer’s Disease Classification using Cognitive Exam Scores-Reference-Cited by-同舟云学术

Recursive Feature Elimination with Cross Validation for Alzheimer’s Disease Classification using Cognitive Exam Scores

Published:2023-07-15 Issue: Volume: Page:
ISSN:
Container-title:2023 Intelligent Methods, Systems, and Applications (IMSA)
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Author:

Freytes Christian Yaphet¹,Perry Mayrand Robin¹,Sawada Luana Okino²,Yan Liang Thony¹,Curiel Cid Rosie E.³,Burke Shanna⁴,Loewenstein David⁵,Duara Ranjan⁶,Adjouadi Malek⁷

Affiliation:

1. Florida International University,Electrical & Computer Engineering,Miami,FL,USA

2. Florida International University,Computing & Information Sciences,Miami,FL,USA

3. University of Miami,Department of Neuropsychology,Miami,FL,USA

4. Florida International University,Public Health and Social Work,Miami,United States

5. University of Miami,Cognitive Neurosciences and Aging,Miami,FL,USA

6. Mt Sinai Medical Center,Wien Center for AD & MD,Miami,FL,USA

7. Florida International University,Electrical & Computer Engineering,Miami,United States

Funder

National Science Foundation

Health

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10217215/10217348/10217660.pdf?arnumber=10217660

Reference19 articles.

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2. A Review of Feature Reduction Techniques in Neuroimaging

3. For Scientists,2020

4. Neuroimaging Web Services Interface – Neuroimaging Web Services Interface by CATE Center at FIU,0

5. Examining Cognitive Factors for Alzheimer’s Disease Progression Using Computational Intelligence;thabtah;Healthcare (Basel Switzerland),2022

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