Data-driven clustering supports adaptive remodeling of athlete's hearts: An echocardiographic study from the Taipei Summer Universiade
CONCLUSION: Hierarchical clustering could analyze complicated multiparametric interactions among numerous echocardiography-derived phenotypes to discern the adaptive propensity of the athlete's heart. The endorsement or generation of hypotheses by a data-driven approach can be applied to various domains.PMID:34740491 | DOI:10.1016/j.jfma.2021.10.017
Source: J Formos Med Assoc - Category: General Medicine Authors: Kuan-Chih Huang Chang-En Lin Lian-Yu Lin Juey-Jen Hwang Lung-Chun Lin Source Type: research
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