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Machine learning models predict delayed hyponatremia post-transsphenoidal surgery using clinically available features

Yutaro Fuse, Kazuhito Takeuchi, Hiroshi Nishiwaki, Takahiro Imaizumi, Yuichi Nagata, Kinji Ohno, Ryuta Saito

2023Pituitary14 citationsDOIOpen Access PDF

Topics & Concepts

MedicineLogistic regressionReceiver operating characteristicHyponatremiaTranssphenoidal surgeryComplicationRetrospective cohort studySurgeryMachine learningInternal medicinePituitary adenomaComputer scienceAdenomaPituitary Gland Disorders and TreatmentsElectrolyte and hormonal disordersThyroid and Parathyroid Surgery
Machine learning models predict delayed hyponatremia post-transsphenoidal surgery using clinically available features | Litcius