Prediction for Diabetes and Heart Disease Using Data Mining Techniques

Author(s):

Sukanya wavhal , terna engineering college,nerul,navi mumbai; Anirudh Saha , terna engineering college,nerul; Snehal Raut, terna engineering college,nerul; Jayashree Patil, terna engineering college,nerul

Keywords:

Data Mining Techniques, IJCSI, In pseudo code the algorithm

Abstract:

The major challenge facing the healthcare industry is the provision for quality services at affordable costs. A quality service implies diagnosing patients correctly and treating them effectively. Poor clinical decisions can lead to disastrous results which is unacceptable. Even the most technologically advanced hospitals in India have no such software that predicts a disease through data mining techniques. There is a huge amount of untapped data that can be turned into useful information. Medical diagnosis is known to be subjective; it depends on the physician making the diagnosis. Secondly and most importantly, the amount of data that should be analyzed to make a good prediction is usually huge and at times unmanageable. In this context, machine learning can be used to automatically infer diagnostic rules from descriptions of past, successfully treated patients and help specialists make the diagnostic process more objective and more reliable.

Other Details:

Manuscript Id	:	IJSTEV2I7070
Published in	:	Volume : 2, Issue : 7
Publication Date	:	01/02/2016
Page(s)	:	220-229

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