A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach-Reference-Cited by-同舟云学术

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A smart Alzheimer’s patient monitoring system with IoT-assisted technology through enhanced deep learning approach

Published:2023-08-09 Issue:12 Volume:65 Page:5561-5599
ISSN:0219-1377
Container-title:Knowledge and Information Systems
language:en
Short-container-title:Knowl Inf Syst

Author:

Arunachalam Rajesh,Sunitha Gurram,Shukla Surendra Kumar,pandey Surya Nath,Urooj Shabana,Rawat Seema

Funder

Princess Nourah bint Abdulrahman University

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Hardware and Architecture,Human-Computer Interaction,Information Systems,Software

Link

https://link.springer.com/content/pdf/10.1007/s10115-023-01890-x.pdf

Reference39 articles.

1. Sharma S, Dudeja RK, Aujla GS, Bali RS, Kumar N (2020) DeTrAs: deep learning-based healthcare framework for IoT-based assistance of Alzheimer patients. Neural Comput Appl. https://doi.org/10.1007/s00521-020-05327-2

2. Zhou Y, Yinan L, Pei Z (2021) Intelligent diagnosis of Alzheimer’s disease based on internet of things monitoring system and deep learning classification method. Microprocess Microsyst 83:104007

3. Adardour HE, Hadjila M, Irid SMH, Baouch T, Belkhiter SE (2021) Outdoor Alzheimer’s patients tracking using an IoT system and a kalman filter estimator. Wireless Pers Commun 116:249–265

4. Kaur PD, Sharma P (2020) IC-SMART: IoTCloud enabled seamless monitoring for Alzheimer diagnosis and rehabilitation system. J Ambient Intell Humaniz Comput 11:3387–3403

5. Tang S, Cao P, Huang M, Liu X, Zaiane O (2022) Dual feature correlation guided multi-task learning for Alzheimer’s disease prediction. Comput Biol Med 140:105090

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