Interactive Decision Support: A Framework to Improve Diagnostic Processes of Cancerous Diseases Using Bayesian Networks | IEEE Conference Publication | IEEE Xplore

Interactive Decision Support: A Framework to Improve Diagnostic Processes of Cancerous Diseases Using Bayesian Networks


Abstract:

Recommendations for actions included in a Clin- ical Practice Guideline (CPG) provide a reference framework for medical experts during diagnostic processes. To support th...Show More

Abstract:

Recommendations for actions included in a Clin- ical 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).
Date of Conference: 11-14 June 2018
Date Added to IEEE Xplore: 02 August 2018
ISBN Information:
Electronic ISSN: 2379-1675
Conference Location: Boston, MA, USA

References

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