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Modeling of Clinical Practice Guidelines for an Interactive Decision Support Using Ontologies

 
: Philipp, P.; Bommersheim, M.; Robert, Sebastian; Hempel, D.; Beyerer, Jürgen

:
Volltext urn:nbn:de:0011-n-5827684 (564 KByte PDF)
MD5 Fingerprint: c1446b4bd6bd4e162a16eee0b2720ffc
Erstellt am: 26.3.2020


Arabnia, Hamid R. (Ed.):
HIMS 2018, International Conference on Health Informatics & Medical Systems. Proceedings : Publication of the 2018 World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE '18), July 30-August 02, 2018, Las Vegas, Nevada, USA
Las Vegas: CSREA Press, 2018
ISBN: 1-60132-479-0
ISBN: 978-1-60132-479-5
S.83-89
International Conference on Health Informatics and Medical Systems (HIMS) <2018, Las Vegas/Nev.>
World Congress in Computer Science, Computer Engineering, & Applied Computing (CSCE) <2018, Las Vegas/Nev.>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
clinical practice guidelines; treatment; interactive assistance; decision support; Ontology

Abstract
Modern medicine typically offers a diverse set of treatment options, rapidly evolving over time. In this context, Clinical Practice Guidelines (CPGs) are able to provide recommendations for actions and by that a frame of reference for medical experts during various treatment processes. To facilitate the implementation of these recommendations, we propose an interactive decision support system (DSS). For this reason, the CPGs of Chronic Myeloid Leukemia, Myelodysplastic Syndromes, Mantle Cell Lymphoma, and Multiple Myeloma are formalized using ontologies. The resulting models serve as an exemplary basis for a DSS, providing patient-specific as well as CPG compliant recommendations.

: http://publica.fraunhofer.de/dokumente/N-582768.html