Machine Learning Approach in Predicting Clinically Significant Improvements After Surgery in Patients with Cervical Ossification of the Posterior Longitudinal Ligament.

Spine3.00
Volume: 46, Issue: 24, Pages: 1683 - 1689
Published: May 21, 2021
Abstract
Study design null A retrospective analysis of prospectively collected data. null Objective null This study aimed to create a prognostic model for surgical outcomes in patients with cervical ossification of the posterior longitudinal ligament (OPLL) using machine learning (ML). null Summary of background data null Determining surgical outcomes helps surgeons provide prognostic information to patients and manage their expectations. ML is a...
Paper Details
Title
Machine Learning Approach in Predicting Clinically Significant Improvements After Surgery in Patients with Cervical Ossification of the Posterior Longitudinal Ligament.
Published Date
May 21, 2021
Journal
Volume
46
Issue
24
Pages
1683 - 1689
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.