Enhanced Multistage Approach for Supervised Learning of Medical Data

Abstract

Data mining is an interdisciplinary computer science and statistics subfield with the general objective of extracting (by intelligent methods) information from a dataset and transforming it into a comprehensive structure for future use. Data mining is the research stage in the process of "database information discovery," or KDD. Some key data mining problems are being addressed using real world machine teaching techniques such as business, safety, toxic prediction, bio, chemo and computer technology. From a machine learning approach, non-supervised learning is carried out and it attempts to group all objects that have a relationship between them, whereby objects are supervised and allocated to pre-defined classes as a classification process. This article focuses on enhancing multistage method in machine-learning algorithms for medical data.