Unsupervised identification of muscle phenotypes in adults with obesity: a data-driven framework for the identification of sarcopenia in absence of a gold standard.

Abstract excerpt

BACKGROUND: Sarcopenia is characterized by progressive loss of skeletal muscle mass and strength and is associated with increased disability and mortality. However, the diagnosis of sarcopenia remains challenging due to the absence of a universally accepted gold standard and validated cut-off values for skeletal muscle indices. Data-driven approaches based on unsupervised clustering may overcome these limitations...

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