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Fig. 4 | BMC Neurology

Fig. 4

From: Rupture discrimination of multiple small (< 7 mm) intracranial aneurysms based on machine learning-based cluster analysis

Fig. 4

Performance of the logistics, ridge, and lasso regression models combining the cluster variable and aneurysm-level factors in the training (A) and test groups (B). A comparison of the importance of determinants for rupture discrimination (C). A comparison of logistic models based on morphological factors with/without clusters (D). BPR, branching-to-parent ratio; AR, aspect ratio; Bif, bifurcation location; NPR, neck-to-parent ratio; PC, posterior circulation; SR, size ratio

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BMC Neurology

ISSN: 1471-2377

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