Computer Science > Machine Learning
[Submitted on 8 Jan 2023]
Title:Prognosis and Treatment Prediction of Type-2 Diabetes Using Deep Neural Network and Machine Learning Classifiers
View PDFAbstract:Type 2 Diabetes is a fast-growing, chronic metabolic disorder due to imbalanced insulin this http URL motion of this research is a comparative study of seven machine learning classifiers and an artificial neural network method to prognosticate the detection and treatment of diabetes with high accuracy,in order to identify and treat diabetes patients at an early this http URL training and test dataset is an accumulation of 9483 diabetes patients this http URL training dataset is large enough to negate overfitting and provide for highly accurate test this http URL use performance measures such as accuracy and precision to find out the best algorithm deep ANN which outperforms with 95.14% accuracy among all other tested machine learning this http URL hope our high-performing model can be used by hospitals to predict diabetes and drive research into more accurate prediction models.
Submission history
From: Mahbuba Yesmin Turaba [view email][v1] Sun, 8 Jan 2023 19:10:20 UTC (3,188 KB)
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