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Diabetes Risk Prediction

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dc.contributor.author Sajal, Asif Ahmed
dc.contributor.author Afroze, Irin
dc.date.accessioned 2018-09-06T06:16:27Z
dc.date.accessioned 2019-06-08T09:37:25Z
dc.date.available 2018-09-06T06:16:27Z
dc.date.available 2019-06-08T09:37:25Z
dc.date.issued 2018-05
dc.identifier.uri http://hdl.handle.net/20.500.11948/3086
dc.description.abstract Diabetes is a disease, when our blood glucose or blood sugar levels are cross a limit. Glucose comes from different foods what we actually eat every day. Glucose is the main source of energy for our body cells. But having much glucose in our blood can create serious difficulties. High level of glucose can create high risk of heart disease and stroke, kidney disease, vision problems, and nerve problems with diabetes. Diabetes is a disease that also can damage eyes, kidneys, nerves and also can create heart trouble, stroke etc. In pregnancy period women can get gestational diabetes. In this paper our goal is to identify whether a person will be risk in diabetic, medium risk and low risk with diabetic. Here we worked with type-2 diabetes. We identified this result based on nine attributes after that classified the dataset by using weka 3.8.0 for machine learning tool and set threshold value to train our machine to find out the diabetes risk in 3 levels- low, medium, and high. Finally, we proposed an Android application to predict the diabetes risk level easily to make people aware about diabetes. en_US
dc.language.iso en en_US
dc.publisher Daffodil International University en_US
dc.subject Daffodil International University en_US
dc.subject Disease Risk en_US
dc.subject Prediction en_US
dc.subject Risk Prediction en_US
dc.title Diabetes Risk Prediction en_US
dc.type Working Paper en_US


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