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Fig. 3 | BMC Neurology

Fig. 3

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

Fig. 3

Distribution of patient-related factors in the three clusters. All patients in Cluster 1 (n = 45) have a family history of intracranial aneurysms (A). Compared with clusters 1 and 3, cluster 2 (n = 110) has significantly higher rates of prior aneurysmal subarachnoid hemorrhage due to the rupture of another aneurysm (B) and a higher number of vascular risk factors (C)

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