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Application of pattern recognition tools for classifying acute coronary syndrome: an integrated medical modeling

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Academic year: 2020

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Figure

Figure 1 A diagnostic algorithm of classification of ACS based on ECG changes and Troponin level.
Table 1 Detailed description of recorded clinical features of our ACS data
Table 1 Detailed description of recorded clinical features of our ACS data (Continued)
Table 3 The used data splitting methods and number of repetitions for eachclassifier method
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