Advances in Multimodal Behavioral Analytics for Early Dementia Diagnosis: A Review-Reference-Cited by-同舟云学术

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Advances in Multimodal Behavioral Analytics for Early Dementia Diagnosis: A Review

Published:2021-10-18 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2021 International Conference on Multimodal Interaction
language:
Short-container-title:

Author:

Palliya Guruge Chathurika¹,Oviatt Sharon²,Delir Haghighi Pari¹,Pritchard Elizabeth³

Affiliation:

1. Department of Human-Centered Computing (HCC), Faculty of Information Technology, Monash University, Australia

2. Engineering Office of the Dean, Monash University, Australia

3. Department of Epidemiology and Preventive Medicine, Monash University, Australia

Funder

Faculty of Information Technology, Monash University

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3462244.3479933

Reference150 articles.

1. Automatic detection of very early stage of dementia through multimodal interaction with computer avatars

2. Rate of progression of mild cognitive impairment to dementia - meta-analysis of 41 robust inception cohort studies

3. Rate of Conversion from Prodromal Alzheimer's Disease to Alzheimer's Dementia: A Systematic Review of the Literature

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2. Effective Connectivity-Based Multi-View Feature Learning Method for Dementia Diagnosis with FNIRS Signal;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. Speech and language processing with deep learning for dementia diagnosis: A systematic review;Psychiatry Research;2023-11

4. Towards a Cognitive Assessment Companion: Empowering Therapists in Evaluating Cognitive Decline;2023 Mexican International Conference on Computer Science (ENC);2023-09-11

5. 3D Video Tracking Technology in the Assessment of Orofacial Impairments in Neurological Disease: Clinical Validation;Journal of Speech, Language, and Hearing Research;2023-08-17

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