Machine Learning and Neurosurgical Outcome Prediction: A Systematic Review.
Journal:
World neurosurgery
Published Date:
Oct 3, 2017
Abstract
OBJECTIVE: Accurate measurement of surgical outcomes is highly desirable to optimize surgical decision-making. An important element of surgical decision making is identification of the patient cohort that will benefit from surgery before the intervention. Machine learning (ML) enables computers to learn from previous data to make accurate predictions on new data. In this systematic review, we evaluate the potential of ML for neurosurgical outcome prediction.