An Unsupervised Data-Driven Anomaly Detection Approach for Adverse Health Conditions in People Living With Dementia: Cohort Study

BACKGROUND: Sensor-based remote health monitoring can be used for the timely detection of health deterioration in people living with dementia with minimal impact on their day-to-day living. Anomaly detection approaches have been widely applied in various domains, including remote health monitoring....

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Detalles Bibliográficos
Autores principales: Bijlani, Nivedita, Nilforooshan, Ramin, Kouchaki, Samaneh
Formato: Online Artículo Texto
Lenguaje:English
Publicado: JMIR Publications 2022
Materias:
Original Paper
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531007/
https://www.ncbi.nlm.nih.gov/pubmed/36121687
http://dx.doi.org/10.2196/38211

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9531007/
https://www.ncbi.nlm.nih.gov/pubmed/36121687
http://dx.doi.org/10.2196/38211

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