{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T00:33:28Z","timestamp":1776386008666,"version":"3.51.2"},"reference-count":66,"publisher":"MDPI AG","issue":"18","license":[{"start":{"date-parts":[[2021,9,17]],"date-time":"2021-09-17T00:00:00Z","timestamp":1631836800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"This research is co-financed by Greece and the European Union (European Social Fund821 ESF) through the Operational Programme \u00abHuman Resources Development, Education and 822 Lifelong Learning 2014-2020\u00bb in the context of the project \u201ceHealth4MS: Electroni","award":["MIS 5050689"],"award-info":[{"award-number":["MIS 5050689"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>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 add clinical value to take informed decisions on follow-up and intervention. We use OWL 2 ontologies as the underlying knowledge representation formalism for modelling contextual information and high-level concepts and relations among them. The conceptual model of our framework is defined on top of existing modelling standards, such as SOSA and WADM, promoting the creation of interoperable knowledge graphs. On top of the symbolic knowledge graphs, we define a rule-based framework for infusing expert knowledge in the form of SHACL constraints and rules to recognise patterns, anomalies and situations of interest based on the predefined and stored rules and conditions. A dashboard visualizes both sensor data and detected events to facilitate clinical supervision and decision making. Preliminary results on the performance and scalability are presented, while a focus group of clinicians involved in an exploratory research study revealed their preferences and perspectives to shape future clinical research using the framework.<\/jats:p>","DOI":"10.3390\/s21186230","type":"journal-article","created":{"date-parts":[[2021,9,22]],"date-time":"2021-09-22T03:47:35Z","timestamp":1632282455000},"page":"6230","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":17,"title":["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"],"prefix":"10.3390","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-2389-4329","authenticated-orcid":false,"given":"Thanos G.","family":"Stavropoulos","sequence":"first","affiliation":[{"name":"Centre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou\u2014Thermi, 57001 Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4242-5245","authenticated-orcid":false,"given":"Georgios","family":"Meditskos","sequence":"additional","affiliation":[{"name":"Centre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou\u2014Thermi, 57001 Thessaloniki, Greece"},{"name":"School of Informatics, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5113-8366","authenticated-orcid":false,"given":"Ioulietta","family":"Lazarou","sequence":"additional","affiliation":[{"name":"Centre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou\u2014Thermi, 57001 Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8652-7628","authenticated-orcid":false,"given":"Lampros","family":"Mpaltadoros","sequence":"additional","affiliation":[{"name":"Centre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou\u2014Thermi, 57001 Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6743-6544","authenticated-orcid":false,"given":"Sotirios","family":"Papagiannopoulos","sequence":"additional","affiliation":[{"name":"Department of Neurology III, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2072-8010","authenticated-orcid":false,"given":"Magda","family":"Tsolaki","sequence":"additional","affiliation":[{"name":"Department of Neurology I, Medical School, Aristotle University of Thessaloniki, 54124 Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6447-9020","authenticated-orcid":false,"given":"Ioannis","family":"Kompatsiaris","sequence":"additional","affiliation":[{"name":"Centre for Research & Technology Hellas, Information Technologies Institute, 6th Km Charilaou\u2014Thermi, 57001 Thessaloniki, Greece"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2021,9,17]]},"reference":[{"key":"ref_1","doi-asserted-by":"crossref","first-page":"929","DOI":"10.5465\/amj.2014.4004","article-title":"Aging Populations and Management","volume":"57","author":"Kulik","year":"2014","journal-title":"Acad. 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