Abstract:
The growing global burden of Non-communicable disease(NCD’s) worldwide, is
increasing day by day. The chronic renal failure is a type of NCD. These chronic
disease are one of the leading cause of death. It becomes important for our society,
to detect and cure it as early as possible. Our system aims to predict the possibility
of chronic renal failure, i.e the chances of kidney failure of a patient. Huge amount
of patient’s data and their case histories are stored from years and years, and yet not
being used.
This data can be used to predict, using massive data sets, by categorizing valid
and unique patterns in data. We aim to make a system through which people can
regularly check the risk to have chronic renal failure.
Keywords: CRF(Chronic Renal Failure), NCD(Non Communicable Disease),
Massive Data sets, Prediction Algorithms, Machine Learning.
