Risk Factors and Comorbidities Associated to Cardiovascular Disease in Qatar: A Machine Learning Based Case-Control Study

Author:

Al-Absi Hamada R. H.ORCID,Refaee Mahmoud Ahmed,Rehman Atiq UrORCID,Islam Mohammad Tariqul,Belhaouari Samir BrahimORCID,Alam TanvirORCID

Funder

Qatar National Library (QNL), Doha, Qatar

Qatar Biobank

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Cited by 19 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. Heart Disease Prediction Using ML and DL Approaches;Proceedings of the 6th International Conference on Communications and Cyber Physical Engineering;2024

2. Multi-disease Retinal Vessel Segmentation: A Deep Learning Approach;2023 6th International Conference on Signal Processing and Information Security (ICSPIS);2023-11-08

3. Risk Factor Prediction of Heart Disease using Machine Learning Approaches;2023 International Conference on Cyberworlds (CW);2023-10-03

4. Risk assessment of cardiovascular disease based on SOLSSA-CatBoost model;Expert Systems with Applications;2023-06

5. Health risk assessment of methyl mercury from fish consumption in a sample of adult Qatari residents;Environmental Monitoring and Assessment;2023-04-27

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