Using Logistic Regression and a Novel Machine Learning Technique to Predict Discharge Status after Craniotomy for Meningioma

Abstract

Introduction: Discharge disposition is a significant consideration for patients and providers deciding whether to undergo surgical treatment. Disposition impacts decisions about timing of surgery, time away from employment for patients and their caregivers, and choice of a surgeon or hospital. This information is also important to providers, who need to navigate the logistics of hospital bed availability and work with insurance companies to ensure appropriate coverage for surgical candidates. Despite its importance, no attempts have been made to predict discharge status following meningioma resection.

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