Development of Machine Learning Based Diabetes Mellitus Survival Prognostic Model-Reference-Cited by-同舟云学术

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Development of Machine Learning Based Diabetes Mellitus Survival Prognostic Model

Published:2024-04-02 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 International Conference on Science, Engineering and Business for Driving Sustainable Development Goals (SEB4SDG)
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Author:

Faluyi Samuel Gbenga¹,Balogun Temitayo²,Ogunsan Matthew Adebayo¹,Ajayi Ebenezer Akinyemi¹,Aiyewumi Victor Oluwaseun³,Adewale Akinwale Trust⁴

Affiliation:

1. Ekiti State Polytechnic, Isan-Ekiti,Department of Computer Science,Isan-Ekiti,Nigeria

2. Federal University of Technology, Akure,Department of Information Systems,Akure,Nigeria

3. Tai-Solarin University of Education, Ijebu-Ode,Department of Computer Science,Ijebu-Ode,Nigeria

4. Ekiti State Polytechnic, Isan-Ekiti,Department of Computer Science,Isan Ekiti,Nigeria

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10629651/10629654/10629763.pdf?arnumber=10629763

Reference19 articles.

1. Diabetes Mellitus: A Review

2. 1288-P: Predictive Modeling of Type 2 Diabetes and Complications Using Machine Learning

3. Estimating life years lost to diabetes: outcomes from analysis of National Diabetes Audit and Office of National Statistics data

4. Prognostic significance of diabetes mellitus and dyslipidemia in men receiving androgen-deprivation therapy for metastatic prostate cancer

5. Predictive modelling and analytics for diabetes using a machine learning approach

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