Machine Learning and Pain Outcomes.

Journal: Neurosurgery clinics of North America
Published Date:

Abstract

Machine learning (ML) is an increasingly popular method of data analysis that has meaningful application within the realm of pain management. Current research has used this technique as a tool to refine patient selection for more invasive pain management treatments in an effort to improve outcomes. It is also being used to aid in the search for biomarkers that could objectify the quantification of pain to better assess these outcomes. This article provides an overview of ML and its applications within the pain field.

Authors

  • Tessa Harland
    Department of Neurosurgery, Albany Medical College, 47 New Scotland Ave, Physicians Pavilion, 1st Floor, Albany, NY, 12208, USA.
  • Amir Hadanny
    Sagol Center for Hyperbaric Medicine and Research, Assaf HaRofe Medical Center, Ramle, Israel; The Mina and Everard Goodman Faculty of Life Sciences, Bar-Ilan University, Ramat-Gan, Israel; Sackler School of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
  • Julie G Pilitsis