Prediction of 24-Hour Urinary Sodium Excretion Using Machine-Learning Algorithms.
Rikuta HamayaMolin WangStephen P JuraschekKenneth J MukamalJo Ann E MansonDeirdre K TobiasFrank B HuCarmen LefaucheurWalter Churchill WillettEric Bruce RimmMitchell H GailPublished in: Journal of the American Heart Association (2024)
The present ML algorithm improved prediction of participants' absolute 24-hour urinary sodium excretion. The present algorithms may be a generalizable approach for predicting absolute sodium intake but do not substantially reduce the bias stemming from measurement error in disease associations.