Prediction of Diabetes with Deep Neural Network

Autor: Yaser Issam Hamodi
Rok vydání: 2021
Předmět:
Zdroj: Webology. 18:806-814
ISSN: 1735-188X
DOI: 10.14704/web/v18i2/web18355
Popis: Diabetic mellitus is hitting the globe since decades. it often leads to dangerous health issues such as kidney problems, heart strokes, nervous system disturbance and eye problems etc. The prediction and detection of such a deadly disease is pivotal. In the conducted study, we have built a diabetic prediction model which is based on deep neural networks. We performed our experiments with two-fold and four-fold cross validation. Our diabetic prediction model has reported an accuracy of 98.45% which is quite high.
Databáze: OpenAIRE