Smart aging monitoring and early dementia recognition (SAMEDR): uncovering the hidden wellness parameter for preventive well-being monitoring to categorize cognitive impairment and dementia in community-dwelling elderly subjects through AI

Reasoning weakening because of dementia degrades the performance in activities of daily living (ADL). Present research work distinguishes care needs, dangers and monitors the effect of dementia on an individual. This research contrasts in ADL design execution between dementia-affected people and oth...

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Veröffentlicht in:	Neural computing & applications Jg. 35; H. 33; S. 23739 - 23751
Hauptverfasser:	Ghayvat, Hemant, Gope, Prosanta
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.11.2023 Springer Nature B.V
Schlagworte:	Activities of daily living Activity recognition Artificial Intelligence Cognitive impairment Computational Biology/Bioinformatics Computational Science and Engineering Computer Science Data integration Data Mining and Knowledge Discovery Data models Datasets Datavetenskap Dementia Image Processing and Computer Vision Mathematical models Monitoring Multisensor fusion Older people Parameters Performance degradation Pre-trained deep learning model Preventive healthcare diagnose Probability and Statistics in Computer Science S.I. : Deep Neuro-Fuzzy Analytics in Smart Ecosystems S.I: Deep Neuro-Fuzzy Analytics for Intelligent Big Data Processing in Smart Ecosystems Sensors Smart home monitoring The activity of daily living Training Transfer learning Smart home monitoring Preventive healthcare diagnose The activity of daily living Pre-trained deep learning model Transfer learning Cognitive impairment
ISSN:	0941-0643, 1433-3058, 1433-3058
Online-Zugang:	Volltext
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