Study on the Interaction Effects of Risk Factors for Type 2 Diabetes Based on IV Feature Selection and the LightGBM Model

[1] Ma, Y., Kong, X., et al. (2023). Current Status and Trend of the Disease Burden of Diabetes in China. Chinese Journal of Preventive Medicine, 24(04), 281-286. Search in Google Scholar

[2] Zhang, Y., He, Y., et al. (2022). Analysis of a Predictive Model for the Incidence Risk of Diabetes in the Elderly Based on Longitudinal Health Examination Data. Geriatric Medicine and Health Care, 28(04), 866-870. Search in Google Scholar

[3] Chinese Diabetes Society. (2021). Guidelines for the Prevention and Treatment of Type 2 Diabetes in China (2020 Edition). Chinese Journal of Practical Internal Medicine, 41(08), 668-695. Search in Google Scholar

[4] Saaristo, T., Peltonen, M., Lindstrom, J., et al. (2005). Cross-sectional Evaluation of the Finnish Diabetes Risk Score: A Tool to Identify Undetected Type 2 Diabetes, Abnormal Glucose Tolerance and Metabolic Syndrome. Diabetes & Vascular Disease Research, 2, 67-72. Search in Google Scholar

[5] Glümer, C., Carstensen, B., Sandbaek, A., et al. (2004). A Danish Diabetes Risk Score for Targeted Screening. Diabetes Care, 27, 727-733. Search in Google Scholar

[6] Lindström, J., Tuomilehto, J. (2003). The Diabetes Risk Score: A Practical Tool to Predict Type 2 Diabetes Risk. Diabetes Care, 26, 725-731. Search in Google Scholar

[7] Meng, X., Tian, Y., Zhang, X. (2024). Selection of Lung Adenocarcinoma Immune-related Genes and Patient Survival Prediction Based on the LightGBM Model. Journal of Biomedical Engineering, 41(01), 70-79. Search in Google Scholar

[8] Wu, H., Chen, S., Chen, Z., et al. (2023). Research on Diabetes Prediction Model Based on LightGBM Model. China Health Standard Management, 14(24), 64-67. Search in Google Scholar

[9] Wang, X., Liao, B., Li, M., et al. (2023). Diabetes Prediction and Feature Analysis Method Integrating LightGBM and SHAP. Small Microcomputer Systems, 43(09), 1877-1885. Search in Google Scholar

[10] Li, D., Pan, E., Sun, Z., et al. (2024). Study on the Relationship Between Health Management Compliance and Glycemic Control Achievement in Community Type 2 Diabetes Patients. Modern Preventive Medicine, 51(2), 273-278. Search in Google Scholar

[11] Li, Y. (2023). Current Situation and Influencing Factors of Health Management Among Community Residents with Hypertension and Diabetes. Hebei Medicine, 45(14), 2215-2217+2221. Search in Google Scholar

[12] Wang, K. (2023). Analysis of the Correlation Between the Triglyceride-Glucose Index and Diabetic Nephropathy in Patients with Type 2 Diabetes - A Cross-sectional Study Based on Logistic Regression and Decision Tree Models. Jining Medical University, 20-24. Search in Google Scholar

[13] Chinese Diabetes Society. (2024). CDS2019 | Professor Guo Lixin: Exercise is Good Medicine. Retrieved from https://mp.weixin.qq.com/s/ZwYdaiN9QmEPAEjXTX6SYw Search in Google Scholar

[14] Yao, W., Han, M., DeVito, G., et al. (2021). Physical Activity and Glycemic Control Status in Chinese Patients with Type 2 Diabetes: A Secondary Analysis of a Randomized Controlled Trial. International Journal of Environmental Research and Public Health, 18(8), 4292. Search in Google Scholar

[15] Xu, W., He, P., Zhao, F. (2024). Analysis of Influencing Factors and Nursing Measures on the Self-perceived Burden of Patients with Diabetic Retinopathy. Modern Medicine & Health, 40(04), 614-618. Search in Google Scholar

[16] Zhang, M., Wei, G., Tian, T., et al. (2023). Diagnostic Value of High-frequency Electrocardiography in Asymptomatic Coronary Artery Disease Patients with Type 2 Diabetes. China Journal of Cardiovascular Diseases, 28(06), 532-536. Search in Google Scholar

[17] Ma, Y., Dong, Y., Wang, J., et al. (2023). Correlation and Predictive Value of Systemic Immune-Inflammation Index with Abnormal Electrocardiogram in Type 2 Diabetes Patients. Journal of Clinical Cardiovascular Diseases, 39(11), 850-854. Search in Google Scholar

[18] Su, Y., Tian, Q., Liu, B., et al. (2024). The Relationship Between Smoking Intensity and the Incidence of Hypertension and Diabetes Among Adult Residents in Henan Province. Journal of Zhengzhou University (Medical Sciences), 59(01), 109-112. Search in Google Scholar

[19] Yang, N., He, S., Song, G., et al. (2021). A Study on the Correlation Between Self-management, Dietary Compliance, Psychological Burden, and Blood Sugar Levels in Patients with Type 2 Diabetes. Practical Preventive Medicine, 28(7), 774-779. Search in Google Scholar

[20] Qiao, Z., Xu, Z. (Year). A Study on the Prediction of Diabetes Risk Among the 40-60 Age Group Based on Physical Fitness. Abstracts of the 13th National Sports Science Conference - Poster Session (Exercise Physiology and Biochemistry Section) (II), 242-244. Search in Google Scholar