Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019.
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%0 Journal Article
%1 journals/corr/abs-2012-11013
%A Reyna, Matthew A.
%A Clifford, Gari D.
%D 2020
%J CoRR
%K dblp
%T Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019.
%U http://dblp.uni-trier.de/db/journals/corr/corr2012.html#abs-2012-11013
%V abs/2012.11013
@article{journals/corr/abs-2012-11013,
added-at = {2021-01-04T00:00:00.000+0100},
author = {Reyna, Matthew A. and Clifford, Gari D.},
biburl = {https://www.bibsonomy.org/bibtex/227274c4e2fe80d3ed5d30e1ed4e1c4e7/dblp},
ee = {https://arxiv.org/abs/2012.11013},
interhash = {5ac5b84b1e40a4b8c5e81fa64d1eb805},
intrahash = {27274c4e2fe80d3ed5d30e1ed4e1c4e7},
journal = {CoRR},
keywords = {dblp},
timestamp = {2024-04-08T23:27:19.000+0200},
title = {Voting of predictive models for clinical outcomes: consensus of algorithms for the early prediction of sepsis from clinical data and an analysis of the PhysioNet/Computing in Cardiology Challenge 2019.},
url = {http://dblp.uni-trier.de/db/journals/corr/corr2012.html#abs-2012-11013},
volume = {abs/2012.11013},
year = 2020
}
