Knowledge production and integration for diagnosis, treatment and prognosis in medicine

  • Authors:
  • John A. Bohada;David Riaòo

  • Affiliations:
  • Department of Engineering Informatics and Mathematics, Rovira i Virgily University;Department of Engineering Informatics and Mathematics, Rovira i Virgily University

  • Venue:
  • Proceedings of the 2005 conference on Artificial Intelligence Research and Development
  • Year:
  • 2005

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Abstract

Diagnosis, treatment and prognosis are three of the most frequent labours of physician in health care institutions. In decision making, these activities can be tackled from two approaches: decision and planning. Decision structures are designed to help physician in their task of taking atemporal decisions. Planning structures are designed to guide physicians in the time-dependant complex medical procedures. The goal of this article is to present a model that integrates several learning tools to develop decision and planning structures in the medical domain, specifically in the support of decision making.