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Knowledge Formalization to Support Decision-Making in Heart Failure Treatment

Kamišalić, A.; Riaño, D.; Welzer, T.

Studies in Health Technology and Informatics 255: 137-141

2018

ISSN/ISBN: 1879-8365
PMID: 30306923
Document Number: 696622
This paper presents medical knowledge representation of data provided within Clinical Practice Guidelines for Heart Failure. The formalization is provided in order to support taking decisions on an appropriate treatment strategy for a specific patient. An intuitive and efficient mechanism of medical knowledge formalization, called extended Timed Transition Diagram (eTTD), is used to represent acquired medical knowledge. The presented models can be used to help students in their training as well as to support physicians with their decision-making tasks.

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