ABSTRACT
With the development and maintenance of large health data repositories of structured and unstructured data, health organizations are increasingly using data analytics, including data mining, to analyze and utilize the patterns and relationships found in the data to make improved clinical and other health-related decisions. This entry discusses the potential of data mining in healthcare and describes the various applications of data mining methods and techniques. A brief review of examples of data mining in healthcare is also offered. An ongoing project in the mining of the unstructured information in cancer blogs is also described. Conclusions are then offered.
