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Development of rapid and effective risk prediction models for stroke in the Chinese population: a cross-sectional study
Conclusion The five machine learning models all had good predictive and discriminatory performance for stroke. The performance of RF and XGBoost was slightly better than that of LR, which was easier to interpret and less prone to overfitting. This work provides a rapid and accurate tool for stroke risk assessment, which can help to improve the efficiency of stroke screening medical services and the management of high-risk groups.
Source: BMJ Open - March 1, 2023 Category: General Medicine Authors: Qiu, Y., Cheng, S., Wu, Y., Yan, W., Hu, S., Chen, Y., Xu, Y., Chen, X., Yang, J., Chen, X., Zheng, H. Tags: Open access, Public health Source Type: research

Predictive role of modifiable factors in stroke: an umbrella review
Discussion Diet with rich macronutrients and micronutrients, healthy dietary patterns and favourable physical, emotional health and environmental management should be promoted to decrease the burden of stroke. PROSPERO registration number CRD42021249921.
Source: BMJ Open - June 16, 2022 Category: General Medicine Authors: Wang, X., Liang, M., Zeng, F., Wang, Y., Yang, Y., Nie, F., Shang, M., Ta, N., Wen, L., Ou, L., Yang, Z., Liu, W. Tags: Open access, Neurology Source Type: research