DiabPrednet: development of attention-based long short-term memory-based diabetes prediction model with optimal weighted feature fusion mechanism-Reference-Cited by-同舟云学术

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DiabPrednet: development of attention-based long short-term memory-based diabetes prediction model with optimal weighted feature fusion mechanism

Published:2023-10-11 Issue: Volume: Page:1-18
ISSN:2168-1163
Container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
language:en
Short-container-title:Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization

Author:

Nagendiran S.¹,Rohini S.²,Jagadeesan P.³,Shankari S.⁴,Harini R.⁵

Affiliation:

1. Artificial Intelligence and Data Science, R.M.K. Engineering College, Chennai, India

2. CSE, R.M.K. Engineering College, Chennai, India

3. CSE, R.M.D. Engineering College, Chennai, India

4. Department: Computer Science and Engineering, RMK college of Engineering and Technology, Chennai, India

5. Artificial Intelligence and Data Science, Vel Tech Multi Tech Dr. Rangarajan Dr. Sakunthala Engineering College, Chennai, India

Publisher

Informa UK Limited

Subject

Computer Science Applications,Radiology, Nuclear Medicine and imaging,Biomedical Engineering,Computational Mechanics

Link

https://www.tandfonline.com/doi/pdf/10.1080/21681163.2023.2258995

Reference43 articles.

1. An Efficient-Assembler Whale Optimization Algorithm for DNA Fragment Assembly Problem: Analysis and Validations

2. A novel hybrid machine learning framework for the prediction of diabetes with context-customized regularization and prediction procedures

3. Machine learning based diabetes prediction and development of smart web application

4. Logic -oriented autoencoders and granular logic autoencoders: Developing interpretable data representation

5. Federated intelligence of anomaly detection agent in IoTMD-enabled Diabetes Management Control System

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