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Fig. 3 | Cardiovascular Diabetology

Fig. 3

From: Unsupervised machine learning based on clinical factors for the detection of coronary artery atherosclerosis in type 2 diabetes mellitus

Fig. 3

Characteristics of coronary artery atherosclerosis among the three clustering groups. A The number of coronary artery segments (mean value ± standard error [SE]) of different types of plaque; B percentage of T2DM patients with each type of plaque; C the number of coronary artery segments with obstructive and nonobstructive coronary artery stenosis (mean value ± SE); D the percentage of T2DM patients with obstructive coronary disease, ≥ 3 involved vessels, segment involvement score (SIS) ≥ 4, or segment stenosis score (SSS) ≥ 6; E the number of diseased vessels, SIS and SSS (mean value ± SE). *Denotes that the difference between cluster group 2 or cluster group 3 and cluster group 1 is statistically significant. #Denotes that the difference between cluster group 3 and cluster group 2 is statistically significant

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