Machine Learning-Based Prediction of Cardiovascular Diseases

Weicheng Sun; Ping Zhang; Zilin Wang; Dongxu Li

doi:10.62762/TIOT.2024.128976

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Volume 2, Issue 2, IECE Transactions on Internet of Things

Volume 2, Issue 2, 2024

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Jinchao Chen

School of Computer Science, Northwestern Polytechnical University, Xi’an 710129, China

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IECE Transactions on Internet of Things, 2024, Volume 2, Issue 2: 50-54

Free Access | Research Article | 23 May 2024

Machine Learning-Based Prediction of Cardiovascular Diseases

Weicheng Sun 1 *

Ping Zhang 1,2

Zilin Wang 1

Dongxu Li 2

1 College of Informatics, Huazhong Agricultural University, Wuhan 430070, China

2 School of Computer, BaoJi University of Arts and Sciences, Baoji 721016, China

* Corresponding author: Weicheng Sun, email: [email protected]

DOI: 10.62762/TIOT.2024.128976

Received: 19 March 2024, Accepted: 07 May 2024, Published: 23 May 2024

Abstract

With the rapid development of artificial intelligence, extracting latent information from medical data has become increasingly critical. Cardiovascular disease is now a major threat to human health, being one of the leading causes of mortality. Therefore, developing effective prediction methods for cardiovascular diseases is urgently needed. Current medical approaches primarily focus on disease detection rather than prediction, which limits early intervention. By leveraging computational methods, it is possible to predict cardiovascular disease in advance, enabling timely treatment and potentially reducing the disease’s impact. This study employs machine learning techniques, including Support Vector Machine (SVM), Logistic Regression (LR), and Random Forest (RF), to predict cardiovascular diseases as classification problems. These machine learning models are supported by robust mathematical theory, allowing them to handle non-linear classification challenges effectively. The results offer valuable insights for the prevention and early treatment of cardiovascular diseases.

Graphical Abstract

Machine Learning-Based Prediction of Cardiovascular Diseases

Keywords

SVM

Random Forest

Machine learning

Cardiovascular disease prediction

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APA Style

Sun, W., Zhang, P., Wang, Z., & Li, D. (2024). Prediction of Cardiovascular Diseases Based on Machine Learning. IECE Transactions on Internet of Things, 2(2), 50–54 https://doi.org/10.62762/TIOT.2024.128976

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