An Ensemble Learning to Predict Glucose Level of Patient by Urine Sample-Reference-Cited by-同舟云学术

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An Ensemble Learning to Predict Glucose Level of Patient by Urine Sample

Published:2022-11-23 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Electrical and Computing Technologies and Applications (ICECTA)
language:
Short-container-title:

Author:

Ati Modafar¹,Ali Muhammad Ikram²,Khan Muhammad Usman Ghani³

Affiliation:

1. Abu Dhabi University,College of Engineering,Computer Science & Information Technology Department,Abu Dhabi,United Arab Emirates

2. University of Engineering and Technology (UET),Intelligent Criminology Research Lab (ICRL), KICS,Lahore,Pakistan

3. University of Engineering and Technology (UET),Intelligent Criminology Research Lab (ICRL), KICS,Department of Computer Science,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9989539/9990040/09990415.pdf?arnumber=9990415

Reference25 articles.

1. A Personalized Recommendation System to Support Diabetes Self-Management for American Indians

2. Rule Extraction From Support Vector Machines Using Ensemble Learning Approach: An Application for Diagnosis of Diabetes

3. Managing Diabetes Therapy through Datastream Mining

4. Discovering the Type 2 Diabetes in Electronic Health Records Using the Sparse Balanced Support Vector Machine

5. A Review of Emerging Technologies for the Management of Diabetes Mellitus

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1. Breast Cancer Prediction of Benign and Malignant Tumors by Classification Algorithms;2023 4th International Conference on Big Data Analytics and Practices (IBDAP);2023-08-25

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