Research Article
Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications
@INPROCEEDINGS{10.1007/978-3-031-34586-9_23, author={Bram Steenwinckel and Mathias De Brouwer and Marija Stojchevska and Jeroen Van Der Donckt and Jelle Nelis and Joeri Ruyssinck and Joachim van der Herten and Koen Casier and Jan Van Ooteghem and Pieter Crombez and Filip De Turck and Sofie Van Hoecke and Femke Ongenae}, title={Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications}, proceedings={Pervasive Computing Technologies for Healthcare. 16th EAI International Conference, PervasiveHealth 2022, Thessaloniki, Greece, December 12-14, 2022, Proceedings}, proceedings_a={PERVASIVEHEALTH}, year={2023}, month={6}, keywords={Connected Care Open health data Ontology}, doi={10.1007/978-3-031-34586-9_23} }- Bram Steenwinckel
Mathias De Brouwer
Marija Stojchevska
Jeroen Van Der Donckt
Jelle Nelis
Joeri Ruyssinck
Joachim van der Herten
Koen Casier
Jan Van Ooteghem
Pieter Crombez
Filip De Turck
Sofie Van Hoecke
Femke Ongenae
Year: 2023
Data Analytics for Health and Connected Care: Ontology, Knowledge Graph and Applications
PERVASIVEHEALTH
Springer
DOI: 10.1007/978-3-031-34586-9_23
Abstract
Connected care applications are increasingly used to achieve a more continuous and pervasive healthcare follow-up of chronic diseases. Within these applications, objective insights are collected by using Artificial Intelligence (AI) models on Internet of Things (IoT) devices in patient’s homes and by using wearable devices to capture biomedical parameters. However, to enable easy re-use of AI applications trained and designed on top of sensor data, it is important to uniformly describe the collected data and how this links to the health condition of the patient. In this paper, we propose the DAHCC (Data Analytics For Health and Connected Care) ontology, dataset and Knowledge Graph (KG). The ontology allows capturing the metadata about the sensors, the different designed AI algorithms and the health insights and their correlation to the medical condition of the patients. To showcase the use of the ontology, a large dataset of 42 participants performing daily life activities in a smart home was collected and annotated with the DAHCC ontology into a KG. Three applications using this KG are provided as inspiration on how other connected care applications can utilize DAHCC. The ontology, KG and the applications are made publicly available athttps://dahcc.idlab.ugent.be. DAHCC’s goal is to integrate care systems such that their outcomes can be visualised, interpreted and acted upon without increasing the burden of healthcare professionals who rely on such systems.
