Crossmark

Daily estimates of individual discharge likelihood with deep learning natural language processing in general medicine: a prospective and external validation study

Crossref DOI link: https://doi.org/10.1007/s11739-021-02816-7

Published Online: 2021-07-31

Published Print: 2022-03

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

Bacchi, Stephen https://orcid.org/0000-0001-5130-8628
Gilbert, Toby

Gluck, Samuel

Cheng, Joy

Tan, Yiran

Chim, Ivana

Jannes, Jim

Kleinig, Timothy

Koblar, Simon
License Information

Text and Data Mining valid from 2021-07-31

Version of Record valid from 2021-07-31
More Information

Article History

Received: 15 May 2021

Accepted: 21 July 2021

First Online: 31 July 2021

Declarations

:

: The authors have no conflicts of interest to declare.

: Ethics approval was granted for this project by the Central Adelaide Local Health Network Research Ethics Committee (HREC/19/CALHN/209).

: For this type of study, a waiver of consent was granted, and consent was not required.

Document is current

Any future updates will be listed below