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Application of Neural Networks in Early Warning Systems for Coronary Heart Disease

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Data Science (ICPCSEE 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1880))

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Abstract

This paper presents a BP neural network-based algorithm for the identification of coronary heart disease through the clinical data of cardiology for many years and the personal physiological attributes easily obtained in daily life. The goal of this paper is to judge whether it may have coronary heart disease by testing the attribute values of the tester. First, through the training of samples, the network model structure is designed, and a relatively good neural network model is obtained. Second, according to the model, the possibility of coronary heart disease was calculated.

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Contributions

YanHui Fang performed the computer simulations. Wei Fang, YanHui Fang and WeiZhen Yang analysed the data. Wei Fang wrote the original draft. YanHui Fang and WeiZhen Yang revised and edited the manuscript. YanHui Fang edited the manuscript. All authors confirmed the submitted version.

Corresponding author

Correspondence to Wei Fang .

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The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

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© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

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Fang, Y., Fang, W., Yang, W. (2023). Application of Neural Networks in Early Warning Systems for Coronary Heart Disease. In: Yu, Z., et al. Data Science. ICPCSEE 2023. Communications in Computer and Information Science, vol 1880. Springer, Singapore. https://doi.org/10.1007/978-981-99-5971-6_3

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  • DOI: https://doi.org/10.1007/978-981-99-5971-6_3

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-99-5970-9

  • Online ISBN: 978-981-99-5971-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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