Machine Learning-Driven Prognostication in Traumatic Subdural Hematoma: Development of a Predictive Web Application.

Journal: Neurosurgery practice
Published Date: Feb 21, 2024

Abstract

BACKGROUND AND OBJECTIVES: Our focus was on creating an array of machine learning (ML) models to predict unfavorable in-hospital outcomes after acute traumatic subdural hematoma (atSDH). Our subsequent aim was to deploy these models in an accessible web application, showcasing their practical value.

Authors

  • Mert Karabacak
    Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.
  • Konstantinos Margetis
    Department of Neurosurgery, Mount Sinai Health System, New York, New York, USA.

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