Predictive Modeling to Predict Personalized Spinal Surgery Outcomes: A Data-Driven e-Health Platform for Informed and Shared Decision Making to Triage Spinal Surgeries

  • Abidi, Syed Sibte Raza S.S.R. (PI)
  • Christie, Sean Dennis S.D. (CoPI)
  • Raza Abidi, Samina (CoPI)
  • Stewart, Samuel Alan S.A. (CoPI)

Projet: Research project

Détails sur le projet

Description

Chronic lower back pain (LBP) is the leading cause of disability worldwide and is the number one cause of lost work days in North America. According to Statistics Canada, 4 out of 5 adults will experience at least one episode of back pain, or spine related disorder, at some point in their lives. Spinal surgery has been shown to be effective in certain patient populations for certain conditions. The objective of this project is to determine which patients will benefit the most from a particular spinal surgery, in order to treat them with the right treatment options.

StatutTerminé
Date de début/de fin réelle9/1/178/31/19

Financement

  • Institute of Neurosciences, Mental Health and Addiction: 153 580,00 $ US

ASJC Scopus Subject Areas

  • Decision Sciences(all)
  • Surgery
  • Neuroscience (miscellaneous)
  • Psychiatry and Mental health