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Chronic Kidney Disease Prediction

Show simple item record Murugaiah, Himagaran 2020-05-15T22:53:59Z 2020-05-15T22:53:59Z 2019
dc.identifier.citation Murugaiah, Himagaran (2019) Chronic Kidney Disease Prediction. BSc. Dissertation Informatics Institute of Technology. en_US
dc.identifier.other 2014054
dc.description.abstract Chronic kidney disease is a long-term condition when kidneys slowly lose its ability to filter out waste from blood circulation. Several types of research on this deadly disease have been conducted and still lots of people are suffering from it. Some of the reasons for being affected by kidney illness are due to diabetes, blood in urine, hypertension, anemia and lack of clean drinking water. Unlike other diseases, kidney diseases often do not show any symptoms until they get advanced, so early detection and treatment can often keep chronic kidney disease from getting worse. Huge amounts of data generated by healthcare transactions are too complex to be processed and analyzed manually. Data mining is an evolving research field in medical areas to identify diseases by examining big data to recognize patterns and solving problems. This work aims at finding a suitable data model that examines through medical data in predicting a person’s chance of being a victim of this disease and identify the correct stage of the disease through Glomerular filtration rate (GFR). The solution proposed will be beneficial for doctors and everyone who needs to examine their kidney status. en_US
dc.subject chronic kidney disease en_US
dc.subject glomerular filtration rate en_US
dc.subject Data Mining en_US
dc.title Chronic Kidney Disease Prediction en_US
dc.type Thesis en_US

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