An Approach to Data Mining in Healthcare: Improved K-means Algorithm

Abstract

Nowadays, the application of data mining in the healthcare industry is necessary. Data mining brings a set of tools and techniques that can be applied to discover hidden patterns that provide healthcare professionals an additional source of knowledge for making decisions. In more detail, clustering the patients that have the same status helps discovering new disease, but the suitable number of clusters is not often obvious. In this paper, we choose k-means, one of the most popularly used clustering algorithms in the research community, to improve, base on the previous research of the others.