Predictive self-organizing neural networks for in-home detection of Mild Cognitive Impairment
In-home sensing of daily living patterns from older adults coupled with machine learning is a promisingapproach to detect Mild Cognitive Impairment (MCI), a potentially reversible condition with early detectionand appropriate intervention. However, the number of subjects involved in such real-world...
Saved in:
Main Authors: | TEH, Seng Khoon, RAWTAER, Iris, TAN, Ah-hwee |
---|---|
Format: | text |
Language: | English |
Published: |
Institutional Knowledge at Singapore Management University
2022
|
Subjects: | |
Online Access: | https://ink.library.smu.edu.sg/sis_research/7215 https://ink.library.smu.edu.sg/context/sis_research/article/8218/viewcontent/In_Home_Detection_of_Mild_Cognitive_Impairment_20220511_sv.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Institution: | Singapore Management University |
Language: | English |
Similar Items
-
Predicting mild cognitive impairment through ambient sensing and artificial intelligence
by: TAN, Ah-hwee, et al.
Published: (2024) -
Regional shape abnormalities in mild cognitive impairment and Alzheimer's disease
by: Qiu, A., et al.
Published: (2014) -
Usefulness of the visual cognitive assessment test in detecting mild cognitive impairment in the community
by: Soo, See Ann, et al.
Published: (2023) -
The Art of Remediating Age-Related Cognitive Decline: Art Therapy Enhances Cognition and Increases Cortical Thickness in Mild Cognitive Impairment
by: Yu, Junhong, et al.
Published: (2022) -
Olfactory dysfunction is associated with mild cognitive impairment in community-dwelling older adults
by: Yap, Ai Che, et al.
Published: (2022)