Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction-Reference-Cited by-同舟云学术

Secure and privacy-preserving automated machine learning operations into end-to-end integrated IoT-edge-artificial intelligence-blockchain monitoring system for diabetes mellitus prediction

Published:2024-12 Issue: Volume:23 Page:212-233
ISSN:2001-0370
Container-title:Computational and Structural Biotechnology Journal
language:en
Short-container-title:Computational and Structural Biotechnology Journal

Author:

Hennebelle Alain,Ismail Leila^ORCID,Materwala Huned,Al Kaabi Juma^ORCID,Ranjan Priya,Janardhanan Rajiv^ORCID

Publisher

Elsevier BV

Subject

Computer Science Applications,Genetics,Biochemistry,Structural Biology,Biophysics,Biotechnology

Reference72 articles.

1. Association of risk factors with type 2 diabetes: a systematic review;Ismail;Comput Struct Biotechnol J,2021

2. Type 2 diabetes with artificial intelligence machine learning: methods and evaluation;Ismail;Arch Comput Methods Eng,2022

3. Investigating health-related features and their impact on the prediction of diabetes using machine learning;Ahmad;Appl Sci,2021

4. Early detection of type 2 diabetes mellitus using machine learning-based prediction models;Kopitar;Sci Rep,2020

5. Prediction of type 2 diabetes based on machine learning algorithm;Deberneh;Int J Environ Res Public Health,2021

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