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Classification of postoperative surgical site infections from blood
  measurements with missing data using recurrent neural networks

Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks

17 November 2017
Andreas Storvik Strauman
F. Bianchi
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
C. Soguero-Ruíz
Robert Jenssen
ArXivPDFHTML

Papers citing "Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks"

4 / 4 papers shown
Title
Deep learning for temporal data representation in electronic health
  records: A systematic review of challenges and methodologies
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F. Xie
Han Yuan
Yilin Ning
M. Ong
Mengling Feng
Wynne Hsu
B. Chakraborty
Nan Liu
32
84
0
21 Jul 2021
Uncertainty-Aware Deep Ensembles for Reliable and Explainable
  Predictions of Clinical Time Series
Uncertainty-Aware Deep Ensembles for Reliable and Explainable Predictions of Clinical Time Series
Kristoffer Wickstrøm
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
A. Revhaug
Robert Jenssen
AI4TS
30
34
0
16 Oct 2020
An Unsupervised Multivariate Time Series Kernel Approach for Identifying
  Patients with Surgical Site Infection from Blood Samples
An Unsupervised Multivariate Time Series Kernel Approach for Identifying Patients with Surgical Site Infection from Blood Samples
Karl Øyvind Mikalsen
C. Soguero-Ruíz
F. Bianchi
A. Revhaug
Robert Jenssen
AI4TS
28
7
0
21 Mar 2018
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
246
1,902
0
06 Jun 2016
1