https://www.selleckchem.com/pr....oducts/gsk1838705a.h
This proof-of-concept study used a web application to predict runner sweat losses using only energy expenditure and air temperature. A field study (FS) of n = 37 runners was completed with n = 40 sweat loss observations measured over one hour (sweat rate, SR). Predictions were also compared to 10 open literature (OL) studies where individual runner SR was reported (n = 82; 109 observations). Three prediction accuracy metrics were used; for FS, the mean absolute error (MAE) and concordance correlation coefficient (CCC) were calculate
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