Prediction of Diabetes using Neural Networks
P Santh
Abstract
The disease will produce the high level of glucose in the blood which leads to inadequate production of insulin in the body. This disease is called diabetes mellitus. This disease is not a fatal disease but sometimes it will cause the serious problem of body parts removal especially legs in the body. This will be similar to fatal cause in the body. The removal of body parts will be done only in the extreme level of diabetes. These serious issues can be prevented if the prior symptoms of the disease are identified. The dataset of the patient will be collected in the hospital. The dataset will have the entire information about the patient. The information about the patient in the report will have the hemoglobin content, plasma glucose, blood pressure, skin thickness and all other details of the patient. The existing system does not provide the prior intimation to the patients as well as to the doctors regarding the future prediction and serious level of diabetes. The major idea of this project is to use the feature selection methods. The feature selection algorithm which we have selected is neural networks, which will gather the particular details regarding the patient and also provide more accuracy in the process of predicting the diabetes in the initial stage itself.