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Interactive decision support: A framework to improve diagnostic processes of cancerous diseases using bayesian networks

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

:
Postprint urn:nbn:de:0011-n-5066027 (482 KByte PDF)
MD5 Fingerprint: 0adcece5b5dae27aa8cebfb9707ab645
Erstellt am: 16.8.2018


Rogova, Galina L. (Ed.) ; Institute of Electrical and Electronics Engineers -IEEE-; IEEE Systems, Man, and Cybernetics Society:
CogSIMA 2018, IEEE International Conference on Cognitive and Computational Aspects of Situation Management. Proceedings : Boston, MA, USA, 11-14 June 2018
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-5288-6
ISBN: 978-1-5386-5289-3
S.15-21
International Conference on Cognitive and Computational Aspects of Situation Management (CogSIMA) <2018, Boston/Mass.>
Englisch
Konferenzbeitrag, Elektronische Publikation
Fraunhofer IOSB ()
diagnostic process; Bayesian network; Unified Modeling Language; assistance; planning; decision support

Abstract
Recommendations for actions included in a Clinical Practice Guideline (CPG) provide a reference framework for medical experts during diagnostic processes. To support the implementation of these recommendations, we propose an interactive decision support. In order to realize this, the diagnostic processes in the CPGs of Mantle Cell Lymphoma (MCL) and Multiple Myeloma (MM) are formalized using activities of the Unified Modeling Language (UML). Based on UML activities, a Bayesian Network is generated. The resulting models enable an assistance function allowing for patient specific CPG recommendations and subsequently for a suitable as well as personalized diagnosis embedded in an interactive Decision Support System (DSS).

: http://publica.fraunhofer.de/dokumente/N-506602.html