Big Data Analytics for Health on Kidney Disease


Article PDF :

Veiw Full Text PDF

Volume :

10

Issue :

2

Abstract :

Predicting kidney based disease is a composite task it needs more experience and knowledge. This kind of disease is a slow process killer in well grown countries and a major donor to disease burden in developing countries. Chronic Kidney Disease (CKD) is a restrained slow in renal function for a period of long time. Diabetes and high blood pressure are the very common causes of chronic kidney disease. This paper involves in providing A Detailed Study of segmenting and detection of tumor based on computed tomography images. Many CT image segmentation algorithms are available; it can be divided into edge, texture, and thresholding. The main thing in this work is to determine the kidney tumor by applying the algorithm on the test result acquired from the patient medical report and segmentation of the tumor location.

Keyword :

Chronic Kidney Disease, Image segmentation, Segmentation Algorithm, Classification Algorithm, Otsu Thresholding.
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