A Voting Ensemble-based Model to Predict the Risk of Cardiovascular Disease in Ordinary People-Reference-Cited by-同舟云学术

A Voting Ensemble-based Model to Predict the Risk of Cardiovascular Disease in Ordinary People

Published:2023-06-17 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 2023 7th International Conference on High Performance Compilation, Computing and Communications
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Author:

Zheng Huilin¹^ORCID,Sherazi Syed Waseem Abbas¹^ORCID,Arif Saba¹^ORCID,Lee Myung Jin²^ORCID,Lee Jong Yun¹^ORCID

Affiliation:

1. Department of Computer Science, Chungbuk National University, South Korea

2. Department of Management Information Systems, Chungbuk National University, South Korea

Funder

National Research Foundation of Korea (NRF)

MSIT(Ministry of Science and ICT), Korea

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3606043.3606061

Reference24 articles.

1. World Health Organization , Cardiovascular diseases (CVDs). Retrieved February 6, 2023 from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) World Health Organization, Cardiovascular diseases (CVDs). Retrieved February 6, 2023 from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds)

2. Number of deaths by cause , World, 2019 . Retrieved February 6, 2023 from https://ourworldindata.org/grapher/annual-number-of-deaths-by-cause Number of deaths by cause, World, 2019. Retrieved February 6, 2023 from https://ourworldindata.org/grapher/annual-number-of-deaths-by-cause

3. Comparison of the TIMI, GRACE, PAMI and CADILLAC risk scores for prediction of long-term cardiovascular outcomes in Taiwanese diabetic patients with ST-segment elevation myocardial infarction: From the registry of the Taiwan Society of Cardiology

4. Prediction of Coronary Heart Disease Using Risk Factor Categories

5. Machine learning-based in-hospital mortality prediction models for patients with acute coronary syndrome