An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction-Reference-Cited by-同舟云学术

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An Innovative Ensemble Deep Learning Clinical Decision Support System for Diabetes Prediction

Published:2024 Issue: Volume:12 Page:106193-106210
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Saleh Al Reshan Mana¹^ORCID,Amin Samina²^ORCID,Ali Zeb Muhammad²^ORCID,Sulaiman Adel³^ORCID,Alshahrani Hani³^ORCID,Shaikh Asadullah¹^ORCID,Elmagzoub Mohamed A.³^ORCID

Affiliation:

1. Department of Information Systems, College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

2. Institute of Computing, Kohat University of Science and Technology, Kohat, Pakistan

3. Emerging Technologies Research Laboratory (ETRL), College of Computer Science and Information Systems, Najran University, Najran, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx8/6287639/10380310/10620301.pdf?arnumber=10620301

Reference54 articles.

1. Role of artificial intelligence in diabetes research diagnosis and prognosis: A narrative review;Binhowemel;J. Health Inform. Developing Countries,2023

2. Fasting Ramadan in patients with T1DM – Saudi Arabia versus other countries during the COVID-19 pandemic

3. Predicting diabetes with multivariate analysis an innovative KNN-based classifier approach

4. A review on current advances in machine learning based diabetes prediction

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