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The proposed MSP based predict model demonstrated good performance for predicting 5 years MetS, and the MetS-based matrix provided a feasible and practical tool.
The proposed MSP based predict model demonstrated good performance for predicting 5 years MetS, and the MetS-based matrix provided a feasible and practical tool for visualization of risk assessment in the prediction of MetS.
The MSP based predict model demonstrated good performance for predicting 5 years MetS with the AUC of 0.802 955% CI 0.776-0.826) in males and 0.902 955% CI 0.874-0.925) in females respectively, even after 10 fold cross validation, AUC was still enough high with 0.796 (95% CI 0.770-0.821) in males and 0.897 955% CI 0.868-0.921) in females.
The proposed metabolic syndrome synthetic predictor (MSP) based predict model demonstrated good performance for predicting 5 years MetS with the AUC of 0.802 955% CI 0.776-0.826) in males and 0.902 955% CI 0.874-0.925) in females respectively, even after 10 fold cross validation, AUC was still enough high with 0.796 (95% CI 0.770-0.821) in males and 0.897 955% CI 0.868-0.921) in females.
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The proposed probability model has a good performance in predicting the short-term prognosis.
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