Web Based Health Recommender System Using Rough Sets, Survival Analysis and Rule-Based Expert Systems

Authors:
Puntip Pattaraintakorn;Gregory M. Zaverucha;Nick Cercone
Affiliations:
Department of Mathematics and Computer Science, Faculty of Science, King Mongkut's Institute of Technology Ladkrabang, Bangkok, 10520, Thailand;School of Computer Science, University of Waterloo, Ontario, N2L 3G1, Canada;Faculty of Science and Engineering, York University, Ontario, M3J 1P3, Canada
Venue:
RSFDGrC '07 Proceedings of the 11th International Conference on Rough Sets, Fuzzy Sets, Data Mining and Granular Computing
Year:
2009

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Abstract

We propose a health recommendation system architecture using rough sets, survival analysis approaches and rule-based expert systems. Our main goal is to recommend clinical examinations for patients or physicians from patients' self reported data. Such data will be treated as condition attributes, while survival time from a follow-up study will be treated as the target function. We have amalgamated rough set theory, relational databases, statistics, soft computing and several pertinent techniques to generate a hybrid intelligent system for survival analysis. This study represents the completion of our system by adding a recommendation module.