Unsupervised Machine Learning Algorithms Examine Healthcare Providers' Perceptions and Longitudinal Performance in a Digital Neonatal Resuscitation Simulator

Background: Frequent simulation-based education is recommended to improve health outcomes during neonatal resuscitation but is often inaccessible due to time, resource, and personnel requirements. Digital simulation presents a potential alternative; however, its effectiveness and reception by health...

Full description

Saved in:
Bibliographic Details
Main Authors: Chang Lu (Author), Simran K. Ghoman (Author), Maria Cutumisu (Author), Georg M. Schmölzer (Author)
Format: Book
Published: Frontiers Media S.A., 2020-09-01T00:00:00Z.
Subjects:
Online Access:Connect to this object online.
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

Connect to this object online.

3rd Floor Main Library

Holdings details from 3rd Floor Main Library
Call Number: A1234.567
Copy 1 Available