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Application of machine learning techniques to analyze anastomosis integrity after Total gastrectomy for prediction of clinical leakage

Crossref DOI link: https://doi.org/10.1007/s12553-019-00334-3

Published Online: 2019-05-09

Published Print: 2019-11

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

Authors

Celik, Sebahattin

Sohail, Ayesha https://orcid.org/0000-0001-6835-6212
Ashraf, Shaina

Arshad, Arooba
License Information

Text and Data Mining valid from 2019-05-09
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Article History

Received: 7 November 2018

Accepted: 1 May 2019

First Online: 9 May 2019

Compliance with ethical standards

:

: The authors declare that there is no conflict of interest.

: Not Applicable.

: Not Applicable.