Abstract
Since the seminal work of Perry Miller about medical critiquing systems in the eighties, there has been remarkable little further research. We present a knowledge level analysis of the types of knowledge and reasoning strategies necessary for an diagnostic critiquing system in vague domains. Instead of building a critiquing system from scratch, we investigate how to enrich a knowledge-based diagnostic system with additional knowledge for critiquing. There are three kinds of additional knowledge: 1. Knowledge for the analysis of the reliability of a diagnostic conclusion for a given case taking into account reliability and completeness of data, reliability of the diagnostic knowledge and the explanation of the diagnostic conclusion. 2. Knowledge about the importance of a diagnosis (e.g. treatibility, danger, urgency), and 3. Multiple diagnostic models including partial knowledge like explicit critiquing rules or guidelines.
This work has been supported by the Deutsche Forschungsgemeinschaft (DFG) under the grant Pu 129/2-1.
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Rhein-Desel, U., Puppe, I. (1998). Concepts for a diagnostic critiquing system in vague domains. In: Herzog, O., Günter, A. (eds) KI-98: Advances in Artificial Intelligence. KI 1998. Lecture Notes in Computer Science, vol 1504. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0095440
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DOI: https://doi.org/10.1007/BFb0095440
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