Title :
SemMed: Applying Semantic Web to Medical Recommendation Systems
Author :
Rodriguez, Alex ; Jimenez, Edward ; Fernandez, J. ; Eccius, Martin ; Gomez, Jorge Marx ; Alor-Hernandez, Giner ; Posada-Gomez, Rubén ; Laufer, Carlos
Author_Institution :
Dept. de Informdtica, Univ. Carlos III de Madrid, Leganes
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.
Keywords :
diseases; health care; information filtering; medical diagnostic computing; patient diagnosis; semantic Web; differential diagnosis; disease; healthcare professionals; medical recommendation system; patient diagnosis; semantic Web; Delta modulation; Diseases; Drugs; Engines; Knowledge management; Medical diagnostic imaging; Medical services; Ontologies; Pharmaceutical technology; Semantic Web; drug; medicine; recommendation system; semantic web;
Conference_Titel :
Intensive Applications and Services, 2009. INTENSIVE '09. First International Conference on
Conference_Location :
Valencia
Print_ISBN :
978-1-4244-3683-5
Electronic_ISBN :
978-0-7695-3585-2
DOI :
10.1109/INTENSIVE.2009.12
