Data analysis for chronic disease -diabetes using map reduce technique

Abstract

Chronic disease endured for a long period of time. They are only be controlled but cannot be cured completely. Most of the people in the world are affected by chronic disease. In foreign countries like U.S. most of the death happens due to chronic disease. Some of the chronic diseases are Allergy, Cancer, Asthma, Heart disease, Glaucoma, Obesity, viral diseases such as Hepatitis C and HIV/AIDS. Of all the diseases Diabetes is the most hazardous disease. Diabetes means that blood glucose (blood sugar is too high. It is categorized into two divisions: Diabetes of category 1 and diabetes of category 2. In category 1, the human body does not make insulin, people with type1 need to take insulin every day. In type 2 the glucose level is of very high in the blood, it is one of the most common forms of diabetes. In type 2 diabetes, need to do physical activity and should have proper diet.[8] The analysis on the data is performed using Big data analytics framework Hadoop. Hadoop framework is used to process large data sets. The analysis is done using map reduce algorithm.