06089584

a

06089584 Chen, Shyi-Ming Huang, Yun-Hou Chen, Rung-Ching Yang, Szu-Wei Sheu, Tian-Wei Using fuzzy reasoning techniques and the domain ontology for anti-diabetic drugs recommendation. Pan, Jeng-Shyang (ed.) et al., Intelligent information and database systems. 4th Asian conference, ACIIDS 2012, Kaohsiung, Taiwan, March 19--21, 2012. Proceedings, Part I. Berlin: Springer (ISBN 978-3-642-28486-1/pbk). Lecture Notes in Computer Science 7196. Lecture Notes in Artificial Intelligence, 125-135 (2012). 2012 Berlin: Springer EN fuzzy reasoning fuzzy rules ontology anti-diabetic drugs

doi:10.1007/978-3-642-28487-8_13

Summary: In this paper, we use fuzzy reasoning techniques and the domain ontology for anti-diabetic drugs selection. We present an anti-diabetic drugs recommendation system based on fuzzy rules and the anti-diabetic drugs ontology to recommend the medicine and the medicine information. The experimental results show that the proposed anti-diabetic drugs recommendation system has a good performance for anti-diabetic drugs selection.