Amirpouyan Namavarian, Alexander Gabinet-Equihua, Yangqing Deng, Shuja Khalid, Hedyeh Ziai, Konrado Deutsch, Jingyue Huang, Ralph W Gilbert, David P Goldstein, Christopher M K L Yao, Jonathan C Irish, Danny J Enepekides, Kevin M Higgins, Frank Rudzicz, Antoine Eskander, Wei Xu, John R de Almeida
OBJECTIVE: Accurate prediction of hospital length of stay (LOS) following surgical management of oral cavity cancer (OCC) may be associated with improved patient counseling, hospital resource utilization and cost. The objective of this study was to compare the performance of statistical models, a machine learning (ML) model, and The American College of Surgeons National Surgical Quality Improvement Program's (ACS-NSQIP) calculator in predicting LOS following surgery for OCC. MATERIALS AND METHODS: A retrospective multicenter database study was performed at two major academic head and neck cancer centers...
April 23, 2024: Laryngoscope