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Fig. 2 | Cancer Imaging

Fig. 2

From: Prediction of p53 mutation status in rectal cancer patients based on magnetic resonance imaging-based nomogram: a study of machine learning

Fig. 2

Process of heat map for dimension reduction. The x-axis represents feature ordering, the y-axis represents 300 case sequencing, and the color represents feature value size. (A) Features selected based on analysis of variance, and the X-axis is 874 features. (B) Features extracted from the correlation analysis with clinical outcomes, The X-axis has 476 features. (C) Features extracted from the correlation analysis between features, The X-axis number is 24 features. (D) The remaining features after dimensionality reduction using a gradient boosted decision tree (GBDT), The X-axis number is 9 features

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