HIGHLIGHTS
SUMMARY
Cluster analysis is an unsupervised machine_learning technique used for finding similar data points in a dataset. Supervised machine_learning applies other approaches for making predictions, employing various algorithms such as support vector machines and random forest. The aim of this study is to identify HCM subtypes and examine the mechanisms of HCM using machine_learning algorithms. The presence of HCM features was predicted as classification machine_learning ta The categorical features as part of combinations in this study have a "stop or pass the value of the other feature" effect: when a categorical feature is negative, the . . .
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