Detection of Health-Related Events and Behaviours from Wearable Sensor Lifestyle Data Using Symbolic Intelligence: A Proof-of-Concept Application in the Care of Multiple Sclerosis

In this paper, we demonstrate the potential of a knowledge-driven framework to improve the efficiency and effectiveness of care through remote and intelligent assessment. More specifically, we present a rule-based approach to detect health related problems from wearable lifestyle sensor data that ad...

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Detalles Bibliográficos
Autores principales: Stavropoulos, Thanos G., Meditskos, Georgios, Lazarou, Ioulietta, Mpaltadoros, Lampros, Papagiannopoulos, Sotirios, Tsolaki, Magda, Kompatsiaris, Ioannis
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470200/
https://www.ncbi.nlm.nih.gov/pubmed/34577437
http://dx.doi.org/10.3390/s21186230

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8470200/
https://www.ncbi.nlm.nih.gov/pubmed/34577437
http://dx.doi.org/10.3390/s21186230

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