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...
Salvato in:
| Autori principali: | , , , |
|---|---|
| Natura: | Libro |
| Pubblicazione: |
Frontiers Media S.A.,
2020-09-01T00:00:00Z.
|
| Soggetti: | |
| Accesso online: | Connect to this object online. |
| Tags: |
Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
|
Accesso online
Connect to this object online.3rd Floor Main Library
| Collocazione: |
A1234.567 |
|---|---|
| Copia 1 | Disponibile |