Defining an OWL ontology that could be used to integrate mental-health risk information within a decision support system

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

In the field of mental health risk assessment, there is no standardisation between the data used in different systems. As a first step towards the possible interchange of data between assessment tools, an ontology has been constructed for a particular one, GRiST (Galatean Risk Screening Tool). We briefly introduce GRiST and its data structures, then describe the ontology and the benefits that have already been realised from the construction process. For example, the ontology has been used to check the consistency of the various trees used in the model. We then consider potential uses in integration of data from other sources.
Original languageEnglish
Title of host publicationProceedings
Subtitle of host publicationInternational Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009
EditorsEdward Clarke Conley, Charles Doarn, Amir Hajjam-El-Hassani
Place of PublicationLos Alamitos, CA (US)
PublisherIEEE
Pages245-250
Number of pages6
ISBN (Electronic)978-0-7695-3532-6
ISBN (Print)978-1-4244-3360-5
DOIs
Publication statusPublished - 2009
EventInternational Conference on eHealth, telemedicine, and Social Medicine eTELEMED 2009 - Cancun, Mexico
Duration: 1 Feb 20097 Feb 2009

Conference

ConferenceInternational Conference on eHealth, telemedicine, and Social Medicine eTELEMED 2009
CountryMexico
CityCancun
Period1/02/097/02/09

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  • Cite this

    Wrighton, N., & Buckingham, C. D. (2009). Defining an OWL ontology that could be used to integrate mental-health risk information within a decision support system. In E. Clarke Conley, C. Doarn, & A. Hajjam-El-Hassani (Eds.), Proceedings: International Conference on eHealth, Telemedicine, and Social Medicine, eTELEMED 2009 (pp. 245-250). IEEE. https://doi.org/10.1109/eTELEMED.2009.11