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
Celik, Sebahattin
Sohail, Ayesha http://orcid.org/0000-0001-6835-6212
Ashraf, Shaina
Arshad, Arooba
Text and Data Mining valid from 2019-05-09
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.