An Innovative Approach of Early Diabetes Prediction using Combined Approach of DC based Bidirectional GRU and CNN-Reference-Cited by-同舟云学术

An Innovative Approach of Early Diabetes Prediction using Combined Approach of DC based Bidirectional GRU and CNN

Published:2023-07-06 Issue: Volume: Page:
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Container-title:2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
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Author:

Chaturvedi Abhay¹,Mohapatra Lucy²,Jain Ayushi³,Emn Sharmila⁴,Suganthi D⁵,Srinivas Romala Vijaya⁶

Affiliation:

1. GLA University,Department of Electronics and Communication Engineering,Mathura,Uttar Pradesh,India

2. Amity Institute of Pharmacy, Lucknow Amity University Uttar Pradesh Sector 125,Noida,Uttar Pradesh,India

3. Graphic Era Hill University,Department of Computer Science and Engineering,Dehradun,Uttarakhand,India

4. CIRD Research Centre and RPA First Grade College (Approved by University of Mysore),Computer Science Department,Bangalore,Karnataka,India

5. Saveetha Institute of Medical and Technical Sciences, Saveetha Nagar, Thandalam,Saveetha College of Liberal Arts and Sciences,Department of Computer Science,Chennai,Tamilnadu,India

6. Koneru Lakshmaiah Education Foundation,Department of BBA,Vaddeswaram,Andhra Pradesh,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192573/10192581/10193133.pdf?arnumber=10193133

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2. A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer

3. Performance Analysis of Data Mining Classification Techniques to Predict Diabetes

4. Metabolic Syndrome and Development of Diabetes Mellitus: Predictive Modeling Based on Machine Learning Techniques

5. A smart healthcare monitoring system for heart disease prediction based on ensemble deep learning and feature fusion

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