Utilizing Linguistic and Acoustic features from Arabic Transcripts for Early Detecting Alzheimer’s Disease Using Different Machine Learning Algorithms-Reference-Cited by-同舟云学术

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Utilizing Linguistic and Acoustic features from Arabic Transcripts for Early Detecting Alzheimer’s Disease Using Different Machine Learning Algorithms

Published:2024-07-11 Issue: Volume:160 Page:449-454
ISSN:
Container-title:2024 IEEE 7th International Conference on Advanced Technologies, Signal and Image Processing (ATSIP)
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Author:

MohmedShareif Hanein O¹,Elmangoush Abdullah M.²,Fadhl Ayyah A.³,Ali Malak A.⁴

Affiliation:

1. Libyan International University,dept. of software Engineering,Benghazi,Libya

2. Libyan International University,dept.of Computer Network,Benghazi,Libya

3. Libyan International University,dept.of Artificial Intellegent,Benghazi,Libya

4. Libyan International University,dept. of Telecommunication,Benghazi,Libya

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10638790/10638839/10639034.pdf?arnumber=10639034

Reference28 articles.

1. Exploiting linguistic information from Nepali transcripts for early detection of Alzheimer’s disease using natural language processing and machine learning techniques;Eason;*Int. J. Hum.-Comput. Stud.*,2022

2. Disease Modification in Alzheimer’s Disease: Current Thinking

3. Speech Recognition for Early Detecting Alzheimer’s Disease by Using Machine Learning Algorithms

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