Deep Learning Techniques for Prediction and Diagnosis of Diabetes Mellitus
Author:
Affiliation:
1. DIT University,School of Computing,Dehradun,India
2. Deloitte USI,Gurgaon,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9751778/9751732/09752176.pdf?arnumber=9752176
Reference44 articles.
1. Classification of ERP Signals from Mild Cognitive Impairment Patients with Diabetes using Dual Input Encoder Convolutional Neural Network
2. A Novel Approachfor the Diagnosis of Diabetic Retinopathy using Convolutional Neural Network
3. Feature Classification Method of Resting-State EEG Signals From Amnestic Mild Cognitive Impairment With Type 2 Diabetes Mellitus Based on Multi-View Convolutional Neural Network
4. Blood glucose prediction model for type 1 diabetes based on artificial neural network with time-domain features
5. A Deep Neural Network Application for Improved Prediction of $\text{HbA}_{\text{1c}}$ in Type 1 Diabetes
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