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Machine learning with sparse nutrition data to improve cardiovascular mortality risk prediction in the USA using nationally randomly sampled data

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Figure

Table 1 Descriptive statistics on the study sample (National Health and Nutrition Examination Survey, 1999–2010 linked to the 2011 National Death Index, n=41 990)
Table 2 Continued
Figure 2 Model discrimination (C- statistic) in the hold- out test set (National Health and Nutrition Examination Survey, 1999–2010 linked to the 2011 National Death Index, n=12 600)

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