SemMed: Applying Semantic Web to Medical Recommendation Systems

  • Authors:
  • Alejandro Rodríguez;Enrique Jiménez;Jesús Fernández;Martin Eccius;Juan Miguel Gómez;Giner Alor-Hernandez;Rubén Posada-Gomez;Carlos Laufer

  • Affiliations:
  • -;-;-;-;-;-;-;-

  • Venue:
  • INTENSIVE '09 Proceedings of the 2009 First International Conference on Intensive Applications and Services
  • Year:
  • 2009

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Abstract

The systematic method used to identify diseases is a called differential diagnosis (DDx). It is mostly used by healthcare professionals to diagnose a specific disease in a patient. If the disease is diagnosed, the method could be used to recommend the medications in order to receive treatment. The goal of the current paper is to design a system based on Semantic Web Technologies to a system with the capability to assist healthcare professionals regarding the possible medication or drug to prescribe, according to following fundamental selection criteria.