Exploration of Healthcare Using Data Mining Techniques

Background

Data mining which is a newer technology, came into picture predominantly only in 1994. After that it was used in almost every domains including healthcare management. Various data mining applications can be created to measure the efficiency of current medical treatments. It can generate a report regarding the most appropriate and effective action on that condition by analyzing the causes, symptoms and course of treatments. As example, the patient’s condition can be compared after applying different drugs for a specific disease to find the most appropriate and cost effective treatment. United Healthcare has implemented it by mining its treatment record data to provide better treatment to its patients in reduced cost (Durairaj & Ranjani, 2013).

Jayanthi Ranjan already presented the discovery and extraction of useful data patterns to find observable patterns from huge volume. It proves the advantages of data mining in pharma industry in decision making process along with other issues like adverse reactions to the drugs (Ranjan, 2007).

K. Srinivas, B. Kavitha Rani and Dr. A. Goverdhan had used classification based data mining techniques on huge data set to predict the likelihood of having heart diseases for a patient. It takes age, sex, blood pressure, blood pressure as inputs from the patient profile (Srinivas, 2010).