Exact(19)
The main objectives of our study will be to evaluate, in a Spanish population, the screening performance and cut-off points of the main scores that identify the risk of undiagnosed T2DM and prediabetes, and to develop and validate our own predictive model of undiagnosed T2DM (screening model), and future T2DM (prediction risk model) after 5 years of follow-up.
The main objectives of our study are: to evaluate the screening performance and cut-off points of the main scores that identify the risk of undiagnosed T2DM and prediabetes in a Spanish population, and to develop and validate our own predictive models of undiagnosed T2DM (screening model), and future T2DM (prediction risk model) after 5-year follow-up.
Generally, the sentence cluster number and the dimensionality in LSA are determined by the prediction risk.
Clinical risk analysis involves risk prediction, risk management and risk avoidance.
According to statistical learning theory, the real prediction risk of learning is consisted of empirical risk and structural risk.
15 and 16 Prediction risk function.mp.mp
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Prediction Risking relegation.
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To remove the irrelevant features and improve the performance of the learning system, a prediction risk-based feature selection method is employed to choose the sub-optimal feature sets [ 16].
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