Medical Knowledge Induction with Higher-Order Horn Clauses and Meta-Programming

Kerdprasop N., Pannurat N., Kerdprasop K.

9th WSEAS International Conference on Simulation, Modelling and Optimization, Budapest, Hungary, 3 - 05 September 2009, pp.98-99 identifier

  • Publication Type: Conference Paper / Full Text
  • City: Budapest
  • Country: Hungary
  • Page Numbers: pp.98-99
  • Istanbul Technical University Affiliated: No


Modem healthcare organizations generate huge amount of electronic data stored in heterogeneous databases. Even though these data are a valuable resource for mining useful knowledge to support scientific decision making, a representational heterogeneity of such databases requires a customized and flexible method to mine actionable knowledge. In this paper we propose a medical decision support system (MDSS) based on a logical framework. The proposed MDSS includes a knowledge induction component to induce knowledge from clinical data repositories and the induced knowledge can be deployed to pre-treatment data from other sources. The implementation of knowledge induction engine has been presented to express the power of higher-order programming of logic-based language. The flexibility of our mining engine is obtained through the pattern matching and meta-programming facilities provided by logic-based language.