Analysis and prediction of type-2 diabetes mellitus complicated with coronary heart disease based on LSTM

Ruilei Pang; Fang Fang; Yang Wu; Fangfang Li; Ruixin Dong; Tianzuo Zhang

doi:10.1117/12.2687478

28 August 2023 Analysis and prediction of type-2 diabetes mellitus complicated with coronary heart disease based on LSTM

Ruilei Pang, Fang Fang, Yang Wu, Fangfang Li, Ruixin Dong, Tianzuo Zhang

Author Affiliations +

Proceedings Volume 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023); 127240K (2023) https://doi.org/10.1117/12.2687478
Event: Second International Conference on Biomedical and Intelligent Systems (IC-BIS2023), 2023, Xiamen, China

Abstract

As the incidence of type 2 diabetes increases and tends to be younger, the probability of complications caused by it is also increasing, and people's healthy and safe lives are seriously affected. In this paper, based on 200 cases of data from the National Population Health Science Data Center's "Shared Cup Version_Diabetes Complication Early Warning Data set", we conducted preliminary screening, feature extraction, and selected three data indicator variables of blood pressure, blood glucose, and blood lipids for the study; constructed LSTM models, trained and tested the processed data, and then evaluated and tested the model prediction effect using confusion matrix and ROC curve test. After the model evaluation and testing, the prediction results were as follows: blood pressure: accuracy: 82.50%, precision: 92.00%, recall: 82.14% and F1: 86.79%; blood glucose: accuracy: 77.50%, precision: 86.21%, recall: 83.33% and F1: 84.75%; blood lipid: accuracy: 82.50%, precision: 93.75%, recall: 85.71% and F1: 89.55%. The model prediction effect of this experiment is obvious. The analysis and prediction of medical type 2 diabetes combined with coronary heart disease by establishing LSTM model provides a practical basis for early diagnosis and treatment of type 2 diabetes combined with coronary heart disease, thus better reducing the disease risk of cardiac function.

Citation Download Citation

Ruilei Pang, Fang Fang, Yang Wu, Fangfang Li, Ruixin Dong, and Tianzuo Zhang "Analysis and prediction of type-2 diabetes mellitus complicated with coronary heart disease based on LSTM", Proc. SPIE 12724, Second International Conference on Biomedical and Intelligent Systems (IC-BIS 2023), 127240K (28 August 2023); https://doi.org/10.1117/12.2687478

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KEYWORDS

Blood

Data modeling

Glucose

Blood pressure

Cardiovascular disorders

Education and training

Heart

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