Top K-opinion Decisions Retrieval in Healthcare System

The aim of this paper is to use data mining technique and opinion mining(OM) concepts to the field of health informatics. The decision making in health informatics involves number of opinions given by the group of medical experts for specific disease in the form of decision based opinions which will be presented in medical database in the form of text. These decision based opinions are then mined from database with the help of mining technique. Text document clustering plays major role in the fast developing information Explosion. It is considered as tool for performing information based operations. Text document clustering generates clusters from whole document collection automatically, normally K-means clustering technique used for text document clustering. In this paper we use Bisecting K-means clustering technique and it is better compared to traditional K-means technique. The objective is to study the revealed groupings of similar opinion-types associated with the likelihood of physicians and medical experts.