An Explainable AI-Enabled Framework for the Diabetes Classification-Reference-Cited by-同舟云学术

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An Explainable AI-Enabled Framework for the Diabetes Classification

Published:2023-12-14 Issue: Volume: Page:1-6
ISSN:
Container-title:2023 IEEE International Conference on Machine Learning and Applied Network Technologies (ICMLANT)
language:
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Author:

Long Cu Kim¹,Puri Vikram²,Solanki Vijender Kumar³,Jeanette Rincón Aponte Gloria⁴

Affiliation:

1. Ministry of Science and Technology (MOST),Information Technology Center,Hanoi,Vietnam

2. Duy Tan University,Center of Visualization and Simulation,Da Nang,Vietnam

3. CMR Institute of Technology,Dept. of Computer Science and Engineering,Hyderabad,TS,India

4. Universidad Cooperativa de Colombia,Bogota,Colombia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10372860/10372861/10372975.pdf?arnumber=10372975

Reference22 articles.

1. Lifestyle factors, self-management and patient empowerment in diabetes care

2. Diabetes Mellitus: A Local and Global Public Health Emergency!

3. Likelihood Prediction of Diabetes at Early Stage Using Data Mining Techniques

4. Artificial intelligence and diabetes technology: A review

5. Explainable AI for Healthcare: From Black Box to Interpretable Models

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