Crossmark

Data analytics and artificial intelligence in predicting length of stay, readmission, and mortality: a population-based study of surgical management of colorectal cancer

Crossref DOI link: https://doi.org/10.1007/s12672-022-00472-7

Published Online: 2022-02-28

Published Print: 2022-12

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

Authors

Masum, Shamsul https://orcid.org/0000-0001-8489-9356
Hopgood, Adrian https://orcid.org/0000-0002-7183-5799
Stefan, Samuel https://orcid.org/0000-0003-1542-3332
Flashman, Karen https://orcid.org/0000-0002-4829-9879
Khan, Jim https://orcid.org/0000-0002-3031-4495
Funding

Funding for this research was provided by:

University of Portsmouth (Thematic Research & Innovation Fund (TRIF))
License Information

Text and Data Mining valid from 2022-02-28

Version of Record valid from 2022-02-28
More Information

Article History

Received: 19 December 2021

Accepted: 7 February 2022

First Online: 28 February 2022

Declarations

:

: The authors declare no competing interests.

Document is current

Any future updates will be listed below