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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...
Autores principales: | Stavropoulos, Thanos G., Meditskos, Georgios, Lazarou, Ioulietta, Mpaltadoros, Lampros, Papagiannopoulos, Sotirios, Tsolaki, Magda, Kompatsiaris, Ioannis |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
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Materias: | |
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 |
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