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Compound Density Networks for Risk Prediction using Electronic Health
  Records

Compound Density Networks for Risk Prediction using Electronic Health Records

2 August 2022
Yuxi Liu
S. Qin
Zhenhao Zhang
Wei Shao
    BDL
ArXivPDFHTML

Papers citing "Compound Density Networks for Risk Prediction using Electronic Health Records"

6 / 6 papers shown
Title
Fine-tuning -- a Transfer Learning approach
Fine-tuning -- a Transfer Learning approach
Joseph Arul Raj
Linglong Qian
Zina M. Ibrahim
30
0
0
06 Nov 2024
Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation
Beyond Random Missingness: Clinically Rethinking for Healthcare Time Series Imputation
Linglong Qian
Zina Ibrahim
Wenjie Du
Yiyuan Yang
Richard J. B. Dobson
Zina Ibrahim
AI4TS
38
3
0
26 May 2024
Hypergraph Convolutional Networks for Fine-grained ICU Patient
  Similarity Analysis and Risk Prediction
Hypergraph Convolutional Networks for Fine-grained ICU Patient Similarity Analysis and Risk Prediction
Yuxi Liu
Zhenhao Zhang
S. Qin
Flora D. Salim
Antonio Jimeno Yepes
Jun Shen
Jiang Bian
22
2
0
24 Aug 2023
Handling missing values in healthcare data: A systematic review of deep
  learning-based imputation techniques
Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques
Mingxuan Liu
Siqi Li
Han Yuan
M. Ong
Yilin Ning
F. Xie
S. Saffari
V. Volovici
Bibhas Chakraborty
Nan Liu
AI4TS
19
50
0
15 Oct 2022
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
205
1,892
0
06 Jun 2016
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
247
9,134
0
06 Jun 2015
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