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Table 2 The performance of the proposed model in comparison with other approaches that used machine learning analysis for electronic health records

From: Text analysis framework for identifying mutations among non-small cell lung cancer patients from laboratory data

Method

Accuracy

Proposed Model

97.5%

Ganesan and Subotin [17]

93.32%

Haug et al. [18]

90.90%

Apostolova et al. [19]

79%

Jancsary et al. [20]

96.48%