Machine Learning Predicts 30‐Day Readmission and Mortality After Surgical Resection of Head and Neck Cancer

Machine Learning Predicts 30‐Day Readmission and Mortality After Surgical Resection of Head and Neck Cancer

Abstract Objective To develop and validate a machine learning model to identify patients at high risk of 30‐day mortality and hospital readmission using routinely collected health care data. Study Design Prognostic predictive modeling and retrospective cohort study. The study was conducted in 2024 u...

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Bibliographic Details
Main Authors: Daniel Fu, Aman M. Patel, Lucy Revercomb, Andrey Filimonov, Ghayoour S. Mir
Format: Article
Language:English
Published: Wiley 2025-01-01
Series:OTO Open
Subjects:
head and neck squamous cell carcinoma
machine learning
mortality
National Cancer Database
readmission
surgical resection
Online Access:https://doi.org/10.1002/oto2.70100
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https://doi.org/10.1002/oto2.70100

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