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A Review on Cardiovascular Disease/Heart Disease by Machine Learning Prediction

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Reliability Engineering for Industrial Processes

Part of the book series: Springer Series in Reliability Engineering ((RELIABILITY))

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Abstract

Cardiovascular diseases commonly referred to as heart diseases, constitute a wide-ranging group of ailments impacting the heart. In our rapidly advancing technological era, machine learning plays a pivotal role in disease prediction. Among the plethora of health issues, heart and cardiovascular diseases stand out with elevated mortality rates. Machine learning techniques prove instrumental in anticipating these conditions, offering clinicians invaluable insights for early diagnosis and treatment. This review explores the application of various machine learning algorithms such as Naive Bayes, Random Forest, Logistic Regression, K-Nearest Neighbors, and Decision Trees in forecasting cardiac diseases. These algorithms not only predict but also categorize individuals with heart diseases, enhancing the accuracy of early detection. The integration of machine learning into healthcare demonstrates its potential to revolutionize predictive medicine, providing a proactive approach to managing cardiovascular illnesses. The proactive identification of cardiac diseases through these techniques empowers healthcare professionals with timely information, ultimately improving patient outcomes.

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Authors and Affiliations

  1. Department of Information Technology, Kongu Engineering College, Erode, Tamil Nadu, India

    K. Swathi & G. K. Kamalam

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  1. K. Swathi
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  2. G. K. Kamalam
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Correspondence to K. Swathi .

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Editors and Affiliations

  1. Amity Center for Interdisciplinary Research, Amity University, Noida, Uttar Pradesh, India

    P. K. Kapur

  2. Department of Industrial Engineering, Rutgers University, Piscataway, NJ, USA

    Hoang Pham

  3. Amity International Business School, Amity University, Noida, Uttar Pradesh, India

    Gurinder Singh

  4. Amity International Business School, Amity University, Noida, Uttar Pradesh, India

    Vivek Kumar

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Swathi, K., Kamalam, G.K. (2024). A Review on Cardiovascular Disease/Heart Disease by Machine Learning Prediction. In: Kapur, P.K., Pham, H., Singh, G., Kumar, V. (eds) Reliability Engineering for Industrial Processes. Springer Series in Reliability Engineering. Springer, Cham. https://doi.org/10.1007/978-3-031-55048-5_3

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  • DOI: https://doi.org/10.1007/978-3-031-55048-5_3

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-55047-8

  • Online ISBN: 978-3-031-55048-5

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