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Table 3 Comparison of prediction performance of three machine learning models trained using tumor-related features (Model 1), emphysema-related features (Model 2), and combined image features (Model 3)

From: Developing global image feature analysis models to predict cancer risk and prognosis

Performance indexModel 1Model 2Model 3
Sensitivity50.0%57.7%69.2%
Specificity82.7%76.5%87.7%
Positive predictive value48.1%44.1%64.3%
Negative predictive value83.8%84.9%89.9%
Overall accuracy74.8%72.0%83.2%