To access this course, you need to be logged in/registered. Click here to continue.

Predicting return to work (RTW) in Chinese patients with occupational upper extremity (UE) injury

Expiry Date
: 01/07/2027
CPD Units
: 3.00 Points
Rating
: Not yet rated.

This prospective cohort study created predictive models using machine learning algorithms for RTW in patients with occupational upper extremity (UE) injury

Keywords: Occupational Therapy > Vocational assessment and rehabilitation

Reading material:

Educational Objectives

Educational Aim:
The aim of this article is to demonstrate that machine learning models can be used for predicting RTW in Chinese patients with traumatic UE injuries, indicating high predictive performance.

Educational Outcomes:
Upon completion of this module practitioners should have a clear understanding of:

  1. Factors that can predict RTW in patients with traumatic UE injuries 
  2. How machine learning can be used as a predictor tool in vocational rehabilitation 
  3. How predictability of RTW can be used to formulate individualised vocational rehabilitation programs 

Instructions for this Module

  • Read the supplied reading material and complete the quiz that follows;
  • You have three attempts to pass the quiz;
  • The pass grade is 70%;
  • You need to pass the quiz to claim your CPD certificate;
  • Please click on the CPD certificate link below to claim your CPD certificate and to update your CPD Manager.

If you need any assistance to complete this module, please Contact us