Predicting mild cognitive impairment through ambient sensing and artificial intelligence

Predicting mild cognitive impairment through ambient sensing and artificial intelligence

This paper reports an emerging application leveraging ambient and artificial intelligence techniques for in-home sensing and cognitive health assessment. The application involves a prospective longitudinal study, wherein non-pervasive sensing devices are installed in homes of over 63 real users unde...

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Bibliographic Details
Main Authors: TAN, Ah-hwee, YING, Weng Yan, SUBAGDJA, Budhitama, HUANG, Anni, D, Shanthoshigaa, TAY, Tony Chin-Ian, RAWTAER, Iris
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2024
Subjects:
biomarker extraction
mild cognitive impairment
Predictive modelling
Artificial Intelligence and Robotics
Health Information Technology
Online Access:https://ink.library.smu.edu.sg/sis_research/9277
https://ink.library.smu.edu.sg/context/sis_research/article/10277/viewcontent/MildCognitiveImpairment_CAI_2024_av.pdf
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Institution: Singapore Management University
Language: English

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https://ink.library.smu.edu.sg/sis_research/9277
https://ink.library.smu.edu.sg/context/sis_research/article/10277/viewcontent/MildCognitiveImpairment_CAI_2024_av.pdf

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