{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,5,14]],"date-time":"2025-05-14T09:50:19Z","timestamp":1747216219563,"version":"3.40.5"},"reference-count":0,"publisher":"IOS Press","isbn-type":[{"type":"electronic","value":"9781643685540"}],"license":[{"start":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T00:00:00Z","timestamp":1732233600000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by-nc\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2024,11,22]]},"abstract":"<jats:p>We present a new methodological approach based on integrating Arden-Syntax-based clinical decision support (CDS) with an upstream ontology service. Incoming linguistic patient data, such as single reports about detected germs or viruses, shall be identified by the applied ontology at a low level. Then, higher-level concepts are activated by ontology-based bottom-up reasoning. Access to these high-level concepts is then provided by Arden-Syntax-based CDS. The results suggest promising directions for future enhancements in knowledge-based artificial intelligence.<\/jats:p>","DOI":"10.3233\/shti241094","type":"book-chapter","created":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T11:38:16Z","timestamp":1732275496000},"source":"Crossref","is-referenced-by-count":0,"title":["Enhancing Arden-Syntax-Based Clinical Reasoning with Ontologies"],"prefix":"10.3233","author":[{"ORCID":"https:\/\/orcid.org\/0009-0006-7867-9465","authenticated-orcid":false,"given":"Moritz","family":"Grob","sequence":"first","affiliation":[{"name":"Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria"},{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jakob","family":"Kainz","sequence":"additional","affiliation":[{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andreas","family":"Csarmann","sequence":"additional","affiliation":[{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-0345-4011","authenticated-orcid":false,"given":"Andrea","family":"Rappelsberger","sequence":"additional","affiliation":[{"name":"Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-5046-1549","authenticated-orcid":false,"given":"Klaus-Peter","family":"Adlassnig","sequence":"additional","affiliation":[{"name":"Medical University of Vienna, Center for Medical Data Science, Institute of Artificial Intelligence, Spitalgasse 23, 1090 Vienna, Austria"},{"name":"Medexter Healthcare, Borschkegasse 7\/5, 1090 Vienna, Austria"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"7437","container-title":["Studies in Health Technology and Informatics","Collaboration across Disciplines for the Health of People, Animals and Ecosystems"],"original-title":[],"link":[{"URL":"https:\/\/ebooks.iospress.nl\/pdf\/doi\/10.3233\/SHTI241094","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,11,22]],"date-time":"2024-11-22T11:38:16Z","timestamp":1732275496000},"score":1,"resource":{"primary":{"URL":"https:\/\/ebooks.iospress.nl\/doi\/10.3233\/SHTI241094"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,11,22]]},"ISBN":["9781643685540"],"references-count":0,"URL":"https:\/\/doi.org\/10.3233\/shti241094","relation":{},"ISSN":["0926-9630","1879-8365"],"issn-type":[{"type":"print","value":"0926-9630"},{"type":"electronic","value":"1879-8365"}],"subject":[],"published":{"date-parts":[[2024,11,22]]}}}