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. 2023 Jun 29;29(7):1804–1813. doi: 10.1038/s41591-023-02396-3

Fig. 2. Algorithm derivation and testing.

Fig. 2

This figure shows the classification performance of the machine learning model against other reference standards for detecting OMI (a), the probability density plots of OMI(+) and OMI(−) classes as denoted by the machine learning model, along with optimal cutoffs of low risk, intermediate risk and high risk (b, left), and distribution of patients in low risk (+), intermediate risk (++) and high risk (+++) as per the machine learning model and HEART score (b, right).