HIGHLIGHTS
- who: Yu Jiang from the Department of Radiology, West China Hospital, Sichuan University, # Guo have published the research: Unsupervised machine learning based on clinical factors for the detection of coronary artery atherosclerosis in type 2 diabetes mellitus, in the Journal: (JOURNAL)
- what: The unsupervised clustering method could address T2DM patients with heterogeneous clinical indicators, which may contribute to the stratification of T2DM patients with coronary atherosclerosis.
- how: The Kruskal-Wallis rank test or one-way analysis of variance followed by Bonferroni`s post hoc test was used to compare continuous data among cluster . . .
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