Automated speech based evaluation of mild cognitive impairment and Alzheimer’s disease detection using with deep belief network model-Reference-Cited by-同舟云学术

Automated speech based evaluation of mild cognitive impairment and Alzheimer’s disease detection using with deep belief network model

Published:2022-07-11 Issue: Volume: Page:1-11
ISSN:2047-9700
Container-title:International Journal of Healthcare Management
language:en
Short-container-title:International Journal of Healthcare Management

Author:

AI-Atroshi Chiai¹,Rene Beulah J.²,Singamaneni Kranthi Kumar³,Pretty Diana Cyril C.²,Neelakandan S.⁴,Velmurugan S.⁵

Affiliation:

1. Department of Educational Counseling, College of Basic Education, University of Duhok, Dahuk, Iraq

2. Department of Computing Technologies, Faculty of Engineering and Technology, College of Engineering and Technology, SRM Institute of Science and Technology, Chennai, India

3. Department of CSE, GITAM School of Technology, GITAM Deemed to be University, Visakhapatnam, India

4. Department of CSE, R.M.K Engineering College, Chennai, India

5. Department of CSE, Vel Tech Multi Tech Dr.Rangarajan Dr.Sakunthala Engineering College, Chennai, India

Publisher

Informa UK Limited

Subject

Health Policy,Leadership and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/20479700.2022.2097764

Reference33 articles.

1. On the Selection of Non-Invasive Methods Based on Speech Analysis Oriented to Automatic Alzheimer Disease Diagnosis

2. Effects of ApoE genotype and mild cognitive impairment on implicit learning

3. Language function in senile dementia

4. Linguistic Features Identify Alzheimer’s Disease in Narrative Speech

5. A Speech Recognition-based Solution for the Automatic Detection of Mild Cognitive Impairment from Spontaneous Speech

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