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Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep
  Learning Approach

Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach

14 July 2019
Riyi Qiu
Yugang Jia
M. Hadzikadic
Michael F Dulin
Xi Niu
Xin Wang
    BDL
ArXivPDFHTML

Papers citing "Modeling the Uncertainty in Electronic Health Records: a Bayesian Deep Learning Approach"

2 / 2 papers shown
Title
Inadequacy of common stochastic neural networks for reliable clinical
  decision support
Inadequacy of common stochastic neural networks for reliable clinical decision support
Adrian Lindenmeyer
Malte Blattmann
S. Franke
Thomas Neumuth
Daniel Schneider
BDL
43
1
0
24 Jan 2024
Dropout as a Bayesian Approximation: Representing Model Uncertainty in
  Deep Learning
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning
Y. Gal
Zoubin Ghahramani
UQCV
BDL
289
9,167
0
06 Jun 2015
1