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Early detection of sepsis utilizing deep learning on electronic health
  record event sequences

Early detection of sepsis utilizing deep learning on electronic health record event sequences

7 June 2019
S. Lauritsen
M. E. Kalør
Emil Lund Kongsgaard
K. M. Lauritsen
Marianne Johansson Jørgensen
Jeppe Lange
B. Thiesson
ArXivPDFHTML

Papers citing "Early detection of sepsis utilizing deep learning on electronic health record event sequences"

3 / 3 papers shown
Title
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset
  Prediction in ICU Trauma Patients
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients
Tucker Stewart
Katherine Stern
G. O’Keefe
Ankur Teredesai
Juhua Hu
19
0
0
25 Apr 2023
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis
Daniel Organisciak
Hubert P. H. Shum
E. Nwoye
Wai Lok Woo
OOD
27
19
0
31 Mar 2022
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
W. Hsu
B. Chakraborty
Nan Liu
27
83
0
21 Jul 2021
1