Research on heart disease prediction method based on convolutional neural network

Ziyi Yang

doi:10.1117/12.2656919

20 October 2022 Research on heart disease prediction method based on convolutional neural network

Ziyi Yang

Proceedings Volume 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022); 124515B (2022) https://doi.org/10.1117/12.2656919
Event: 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 2022, Chongqing, China

Abstract

Heart disease is a disease with a high mortality rate, and it is the leading cause of human death. Therefore, the use of computers and other technologies to predict heart disease so that patients can receive treatment as soon as possible and avoid the consequences of untreatable disease due to deterioration is of great medical relevance. To achieve the purpose of improving the accuracy of heart disease prediction, this paper is divided into two parts: data processing and convolutional neural network. Firstly, data preprocessing is performed on some important indicators of cardiovascular disease in patients to improve the quality of the data. Then, the influence of different types of parameters on the network structure was discussed, and a heart disease prediction model was constructed and optimized to provide a reference for the prevention and treatment of heart disease. The model used in this paper selects the optimal model parameters, and the accuracy rate can reach more than 0.9.

Citation Download Citation

Ziyi Yang "Research on heart disease prediction method based on convolutional neural network", Proc. SPIE 12451, 5th International Conference on Computer Information Science and Application Technology (CISAT 2022), 124515B (20 October 2022); https://doi.org/10.1117/12.2656919

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KEYWORDS

Heart

Convolutional neural networks

Data modeling

Neurons

Convolution

Neural networks

Performance modeling

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