Predictive Analysis & Brief Study of Early-Stage Diabetes Using Multiple Classifier Models-Reference-Cited by-同舟云学术

Predictive Analysis & Brief Study of Early-Stage Diabetes Using Multiple Classifier Models

Published:2022-01-26 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 12th Annual Computing and Communication Workshop and Conference (CCWC)
language:
Short-container-title:

Author:

Tahsin Mohammad Sadman¹,Jobayer Md²,Antor Md. Borhan Uddin¹,Islam Maidul¹,Raisa Fatima Fairuz²,Shaikat Md. Al Hasan¹

Affiliation:

1. BRAC University,Department of Computer Science and Engineering,Dhaka,Bangladesh

2. BRAC University,Department of Electrical & Electronic Engineering,Dhaka,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9720724/9720434/09720736.pdf?arnumber=9720736

Reference19 articles.

1. Application of data mining: Diabetes health care in young and old patients

2. Diagnosis of Diabetes Using Classification Mining Techniques

3. A DATA MINING APPROACH FOR PREDICTION AND TREATMENT OFDIABETES DISEASE;kumar;International Journal of Science Inventions Today,0

4. Ensemble Learning on Diabetes Data Set and Early Diabetes Prediction;warsi;2019 International Conference on Computing Power and Communication Technologies (GUCON),0

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Associations between physical activity and all-cause and cardiovascular mortality in adults with type 2 diabetes mellitus: A prospective cohort study from NHANES 2007–2018;Primary Care Diabetes;2023-12

2. Analysis and design of Diabetes risk monitoring system based on ensemble learning;2023 3rd International Conference on Consumer Electronics and Computer Engineering (ICCECE);2023-01-06