Data Mining in Medical Application for better Detection of Disease

Automated extraction of knowledge from voluminous documents is a vast research area. Text mining is a promising approach for extracting knowledge from unstructured textual documents. The objective of this paper is to mine documents pertaining to any Medical information in this case the diseases, which are retrieved from a databank, and find novel transitive associations among biological objects. This paper discusses the extraction of biological objects from the databank using an Automated Vocabulary Discovery (AVD) algorithm[7]. A text-mining process is described for finding transitive (novel) associations among the extracted biological objects. The text mining algorithm also assigns a numerical significance score to them. The expectation is that those with higher score have greater likelihood of being true than those with lower scores.