Using fuzzy reasoning techniques and the domain ontology for anti-diabetic drugs recommendation

  • Authors:

  • Shyi-Ming Chen;Yun-Hou Huang;Rung-Ching Chen;Szu-Wei Yang;Tian-Wei Sheu

  • Affiliations:

  • Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan and Graduate Institute of Educational Measurement and Statistics, N ...;Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan;Department of Information Management, Chaoyang University of Technology, Taichung, Taiwan;Department of Education, National Taichung University of Education, Taichung, Taiwan;Graduate Institute of Educational Measurement and Statistics, National Taichung University of Education, Taichung, Taiwan

  • Venue:
  • ACIIDS'12 Proceedings of the 4th Asian conference on Intelligent Information and Database Systems - Volume Part I
  • Year:
  • 2012

Quantified Score

Hi-index 0.00

Visualization

Abstract

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.