Anomaly detection semi-supervised framework for sepsis treatment

Krissaane, I., Hampton, K., Alshenaifi, J. et al. (1 more author) (2019) Anomaly detection semi-supervised framework for sepsis treatment. In: 2019 Computing in Cardiology Conference (CinC). Computing in Cardiology Conference, 08-11 Sep 2019, Singapore. Computing in Cardiology (CinC) Proceedings (46). Computing in Cardiology . ISBN 9781728169361

Abstract

Metadata

Authors/Creators:
  • Krissaane, I.
  • Hampton, K.
  • Alshenaifi, J.
  • Wilkinson, R.
Copyright, Publisher and Additional Information: © 2019 The Authors.
Dates:
  • Published (online): 30 December 2019
  • Published: December 2019
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Science (Sheffield) > School of Mathematics and Statistics (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 11 Feb 2020 15:47
Last Modified: 11 Feb 2020 15:47
Status: Published
Publisher: Computing in Cardiology
Series Name: Computing in Cardiology (CinC) Proceedings
Refereed: Yes
Identification Number: https://doi.org/10.22489/cinc.2019.174
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