Clustering data using labels for disease prognostication and making meticulous firmness for fast recovery

Abstract: Data mining is a process of searching through large amounts of data for patterns recognition. It is a relatively new concept which is directly related to computer science. It can be used with a number of older computer techniques such as pattern recognition and statistics. The goal of data mining is to extract important information from data that was not previously known. This paper make use of data mining concept for collecting patient details in hospital management .We use a new algorithm called RENOVATE algorithm to cluster the patient record for citation the disease of the patient. This algorithm cluster the data based on everyday update and produce the better result for the doctor to understand the state of affairs of the patient. The renovate algorithm provide the result by clustering the record on the core of labels. And also gives how the clustering process carried to place them in labeled order.

Keywords: clustering, data mining, Renovate, label, Prognostication.