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Such type of ML algorithm does not work upon labeled data and the machine learns from the dataset given and finds out the hidden pattern to make prediction about the output. It is further grouped into clustering and association; in clustering, the machine forms groups based on the behavior of the data, whereas association is a rule-based ML to discover relation between variables of large datasets. Precision medicine initiative is used to perform unsupervised learning problems in medicine [9]. How unsupervised learning can be applied in pathophysiologic mechanism to redefine the inherent heterogeneity in complex multi-factorial diseases, for instance, in cardiac disease like myocarditis. To apply the mechanism, inexplicable acute systolic heart failure is required and performed with myocardial biopsies to identify similar pattern between cellular compositions which will, in return, guide the therapist accordingly. Albiet the same technique to identify a subtype of asthma which responded to IL-13 [10, 11] is adopted.