Exploiting decision theory for supporting therapy selection in computerized clinical guidelines

  • Authors:

  • Stefania Montani;Paolo Terenziani;Alessio Bottrighi

  • Affiliations:

  • Dipartimento di Informatica, Università del Piemonte Orientale, Alessandria, Italy;Dipartimento di Informatica, Università del Piemonte Orientale, Alessandria, Italy;Dipartimento di Informatica, Università del Piemonte Orientale, Alessandria, Italy

  • Venue:
  • AIME'05 Proceedings of the 10th conference on Artificial Intelligence in Medicine
  • Year:
  • 2005

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Abstract

Supporting therapy selection is a fundamental task for a system for the computerized management of clinical guidelines (GL). The goal is particularly critical when no alternative is really better than the others, from a strictly clinical viewpoint. In these cases, decision theory appears to be a very suitable means to provide advice. In this paper, we describe how algorithms for calculating utility, and for evaluating the optimal policy, can be exploited to fit the GL management context.