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

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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Bibliographic Details
Main Authors: Thanos G. Stavropoulos, Georgios Meditskos, Ioulietta Lazarou, Lampros Mpaltadoros, Sotirios Papagiannopoulos, Magda Tsolaki, Ioannis Kompatsiaris
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Sensors
Subjects:
wearables
sensors
ontologies
symbolic reasoning
knowledge graphs
ehealth
Online Access:https://www.mdpi.com/1424-8220/21/18/6230

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