Study on Data Mining with Drug Discovery

Abstract

An important goal of our health system is to classify new drug events that are ADE in the post-approval period. Data mining methodologies that can transform the data set into meaningful knowledge informing patient safety has proved essential for this process. This research paper describes the application of the biomedical documents to facilitate knowledge from the very large data set that comprises of drugs and the characteristics of Life Science. This paper helps in discovering the data or discovering the pattern from the large data set and demonstrate the technique of data mining that can help in the quality of the decision-making process in the medical industry.