Machine learning ensemble models predict total charges and drivers of cost for transsphenoidal surgery for pituitary tumor

Abstract

ML ensembles predict total charges for TSS with good fidelity. The authors identified extended LOS, nonelective admission type, non-Southern hospital region, minority race, postoperative complication, and private investor hospital ownership as drivers of total charges and potential targets for cost-lowering interventions.