Postmarket surveillance of arthroplasty device components using machine learning methods Academic Article uri icon

Overview

MeSH Major

  • General Surgery
  • Internship and Residency
  • Models, Statistical

abstract

  • The novel approaches to signal detection may improve postmarket surveillance of frequently used arthroplasty devices, which in turn will improve public health.

publication date

  • January 2019

Research

keywords

  • Academic Article

Identity

Language

  • eng

Digital Object Identifier (DOI)

  • 10.1002/pds.4882

PubMed ID

  • 31418506