A Comparative Study of Data Analysis Techniques in the domain of Medicative care for Disease Predication

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Prof. Samiksha H. Zaveri
Dr. Narayan Joshi

Abstract

In healthcare sector every day we collects a huge data including clinical examination, vital parameters, investigation reports, treatment follow up and drug decisions etc. But it is not analysed and mine in an appropriate way. There are several fatal diseases which causes more deaths in the world. How to avoid the dangerous complications of these types of diseases? If we come to know in advance, we can protect our self. There are different techniques to predict disease in well advance. One of the techniques is Data Mining. In past, research works have been done on it using mathematical equations. In this paper we try to study such type of diseases like TB, Cancer, heart disease, diabetes etc. We briefly examined that; the Data Mining could help in the identification or the Predication of disease. We also presents a comparative study of different data mining application and techniques applied for extracting knowledge in healthcare industry. Keywords: Data Mining, Diseases-TB, Cancer, Diabetes, Heart Disease

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