Study and Analysis of Predictive Data Mining Approaches for Clinical Dataset

Abstract

Data Mining is an assortment of effective tool set to perform the statistical analysis on an immense dataset and to retrieve the valuable information from the dataset. In this work we have carried out an analytical survey on predictive data mining approaches on clinical dataset. The clinical dataset processing is one of the effective and most sensitive area which is studied under an expert environment. The present paper discusses KDD, data mining with reference to clinical expert system analysis, different applications and the approaches that can be used for the predictive data mining in same area. The scope of this paper is confined to the prediction of a person disease, based on symptoms dataset. The strength of data mining approaches in diverse clinical applications is also analyzed.

A Survey on Data Mining Techniques in the Medicative Field

“…Neural network provide powerful mechanism to help the physicians to review, model and make sense of complex clinical data across medical applications. [6] [9]…”