Surgical risk is not linear: derivation and validation of a novel, user-friendly, and Machine-learning-based predictive optimal trees in emergency surgery risk (Potter) calculator
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%0 Journal Article
%1 bertsimas2018surgical
%A Bertsimas, Dimitris
%A Dunn, Jack
%A Velmahos, George C
%A Kaafarani, Haytham MA
%D 2018
%I LWW
%J Annals of surgery
%K nsqip citedby:scholar:count:40 citedby:scholar:timestamp:2020-11-20
%N 4
%P 574--583
%T Surgical risk is not linear: derivation and validation of a novel, user-friendly, and Machine-learning-based predictive optimal trees in emergency surgery risk (Potter) calculator
%V 268
@article{bertsimas2018surgical,
added-at = {2020-11-20T17:52:45.000+0100},
author = {Bertsimas, Dimitris and Dunn, Jack and Velmahos, George C and Kaafarani, Haytham MA},
biburl = {https://www.bibsonomy.org/bibtex/26041e3c0654f8953f63e20de1391ce8a/becker},
interhash = {cdb2fae9c5556c2b77a51f7b86f411d3},
intrahash = {6041e3c0654f8953f63e20de1391ce8a},
journal = {Annals of surgery},
keywords = {nsqip citedby:scholar:count:40 citedby:scholar:timestamp:2020-11-20},
number = 4,
pages = {574--583},
publisher = {LWW},
timestamp = {2020-11-20T17:52:45.000+0100},
title = {Surgical risk is not linear: derivation and validation of a novel, user-friendly, and Machine-learning-based predictive optimal trees in emergency surgery risk (Potter) calculator},
volume = 268,
year = 2018
}
