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Predicting Clinical Events by Combining Static and Dynamic Information
  Using Recurrent Neural Networks
v1v2 (latest)

Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks

8 February 2016
Cristóbal Esteban
O. Staeck
Yinchong Yang
Volker Tresp
ArXiv (abs)PDFHTML

Papers citing "Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks"

39 / 39 papers shown
Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series
Adaptive Nonlinear Vector Autoregression: Robust Forecasting for Noisy Chaotic Time Series
Azimov Sherkhon
Susana Lopez-Moreno
Eric Dolores-Cuenca
Sieun Lee
Sangil Kim
116
0
0
11 Jul 2025
Foundation Models for Time Series: A Survey
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TSAI4CE
484
14
0
05 Apr 2025
A machine learning framework for interpretable predictions in patient
  pathways: The case of predicting ICU admission for patients with symptoms of
  sepsis
A machine learning framework for interpretable predictions in patient pathways: The case of predicting ICU admission for patients with symptoms of sepsis
Sandra Zilker
Sven Weinzierl
Mathias Kraus
Patrick Zschech
Martin Matzner
298
20
0
21 May 2024
Time Series Predictions in Unmonitored Sites: A Survey of Machine
  Learning Techniques in Water Resources
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water ResourcesEnvironmental Data Science (EDS), 2023
J. Willard
C. Varadharajan
X. Jia
Vipin Kumar
AI4TS
328
26
0
18 Aug 2023
Modeling Long-term Dependencies and Short-term Correlations in Patient
  Journey Data with Temporal Attention Networks for Health Prediction
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health PredictionACM International Conference on Bioinformatics, Computational Biology and Biomedicine (ACM-BCB), 2022
Yuxi Liu
Zhenhao Zhang
Antonio Jimeno Yepes
Flora D. Salim
371
16
0
13 Jul 2022
Time Series Prediction using Deep Learning Methods in Healthcare
Time Series Prediction using Deep Learning Methods in HealthcareACM Transactions on Management Information Systems (ACM TMIS), 2021
M. Morid
O. R. Sheng
Josef A. Dunbar
OODAI4TS
408
213
0
30 Aug 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated
  Failure Time Models
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time ModelsMachine Learning in Health Care (MLHC), 2021
Zhiliang Wu
Yinchong Yang
Peter A. Fasching
Volker Tresp
BDL
188
11
0
26 Jul 2021
An attention model to analyse the risk of agitation and urinary tract
  infections in people with dementia
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia
Honglin Li
Roonak Rezvani
Magdalena Anita Kolanko
D. Sharp
M. Wairagkar
R. Vaidyanathan
R. Nilforooshan
Payam Barnaghi
133
3
0
18 Jan 2021
Incorporating Causal Effects into Deep Learning Predictions on EHR Data
Incorporating Causal Effects into Deep Learning Predictions on EHR Data
Jia Li
Haoyu Yang
X. Jia
Vipin Kumar
M. Steinbach
György J. Simon
BDLCML
290
1
0
11 Nov 2020
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting
  Time-varying Confounding in Modern Longitudinal Observational Data
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
Yanbo Xu
Cao Xiao
Jimeng Sun
BDLOODCML
178
1
0
28 Oct 2020
Predicting Future Sales of Retail Products using Machine Learning
Predicting Future Sales of Retail Products using Machine Learning
Devendra Swami
Alay Dilipbhai Shah
Subhrajeet K B Ray
166
19
0
18 Aug 2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic
  for Interpretable Prognosis
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis
Liantao Ma
Xinyu Ma
Junyi Gao
Chaohe Zhang
Zhihao Yu
Xianfeng Jiao
Wenjie Ruan
Yasha Wang
Wen Tang
Jiangtao Wang
OOD
142
5
0
17 Jul 2020
Learning Individualized Treatment Rules with Estimated Translated
  Inverse Propensity Score
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Zhiliang Wu
Yinchong Yang
Yunpu Ma
Yushan Liu
Rui Zhao
Michael Moor
Volker Tresp
169
1
0
02 Jul 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
Explainable Goal-Driven Agents and Robots -- A Comprehensive ReviewACM Computing Surveys (ACM CSUR), 2020
F. Sado
C. K. Loo
W. S. Liew
Matthias Kerzel
S. Wermter
598
76
0
21 Apr 2020
Artificial Intelligence for Social Good: A Survey
Artificial Intelligence for Social Good: A Survey
Zheyuan Ryan Shi
Claire Wang
Fei Fang
AI4TS
356
101
0
07 Jan 2020
Early Predictions for Medical Crowdfunding: A Deep Learning Approach
  Using Diverse Inputs
Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs
Tong Wang
Fujie Jin
Y. Hu
Yuan Cheng
OOD
85
4
0
09 Nov 2019
Neural networks trained with WiFi traces to predict airport passenger
  behavior
Neural networks trained with WiFi traces to predict airport passenger behaviorInternational Conference on Models and Technologies for Intelligent Transportation Systems (ICMTITS), 2019
F. Orsini
Massimiliano Gastaldi
L. Mantecchini
R. Rossi
131
14
0
30 Oct 2019
Mixed Pooling Multi-View Attention Autoencoder for Representation
  Learning in Healthcare
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Shaika Chowdhury
Chenwei Zhang
Philip S. Yu
Yuan Luo
144
14
0
14 Oct 2019
Improved Hierarchical Patient Classification with Language Model
  Pretraining over Clinical Notes
Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes
Jonas Kemp
A. Rajkomar
Andrew M. Dai
257
11
0
06 Sep 2019
DeepHealth: Review and challenges of artificial intelligence in health
  informatics
DeepHealth: Review and challenges of artificial intelligence in health informatics
Gloria Hyunjung Kwak
Pan Hui
SyDa
286
26
0
01 Sep 2019
Disease phenotyping using deep learning: A diabetes case study
Disease phenotyping using deep learning: A diabetes case study
S. Rashidian
J. Hajagos
R. Moffitt
Fusheng Wang
Xinyu Dong
...
Rajarsi R. Gupta
M. Tharakan
Veena Lingam
Joel H. Saltz
M. Saltz
168
6
0
28 Nov 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for
  Predictive Healthcare
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
Edward Choi
Cao Xiao
Walter F. Stewart
Jimeng Sun
349
264
0
22 Oct 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient
  Monitoring Data
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu
Siddharth Biswal
S. Deshpande
K. Maher
Jimeng Sun
203
187
0
23 Jul 2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with
  Exponential Families
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families
Seong Jae Hwang
Ronak R. Mehta
Hyunwoo J. Kim
Vikas Singh
BDLUQCV
200
3
0
19 Apr 2018
Deep Learning to Attend to Risk in ICU
Deep Learning to Attend to Risk in ICU
Phuoc Nguyen
T. Tran
Svetha Venkatesh
172
18
0
17 Jul 2017
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for
  Electronic Health Record (EHR) Analysis
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) AnalysisIEEE journal of biomedical and health informatics (IEEE JBHI), 2017
B. Shickel
P. Tighe
A. Bihorac
Parisa Rashidi
BDL
684
1,371
0
12 Jun 2017
Modeling The Intensity Function Of Point Process Via Recurrent Neural
  Networks
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao
Junchi Yan
Stephen M. Chu
Xiaokang Yang
H. Zha
AI4TS
187
284
0
24 May 2017
Clinical Intervention Prediction and Understanding using Deep Networks
Clinical Intervention Prediction and Understanding using Deep Networks
Harini Suresh
Nathan Hunt
Alistair E. W. Johnson
Leo Anthony Celi
Peter Szolovits
Marzyeh Ghassemi
OOD
250
148
0
23 May 2017
Predictive Clinical Decision Support System with RNN Encoding and Tensor
  Decoding
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding
Yinchong Yang
Peter A. Fasching
M. Wallwiener
T. Fehm
S. Brucker
Volker Tresp
145
11
0
02 Dec 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention MechanismNeural Information Processing Systems (NeurIPS), 2016
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
676
1,467
0
19 Aug 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
1.1K
1,211
0
18 Nov 2015
Describing Multimedia Content using Attention-based Encoder--Decoder
  Networks
Describing Multimedia Content using Attention-based Encoder--Decoder Networks
Dong Wang
Aaron Courville
Yoshua Bengio
278
438
0
04 Jul 2015
Highway Networks
Highway Networks
R. Srivastava
Klaus Greff
Jürgen Schmidhuber
1.1K
1,880
0
03 May 2015
Show, Attend and Tell: Neural Image Caption Generation with Visual
  Attention
Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
Ke Xu
Jimmy Ba
Ryan Kiros
Dong Wang
Aaron Courville
Ruslan Salakhutdinov
R. Zemel
Yoshua Bengio
DiffM
1.1K
10,733
0
10 Feb 2015
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence
  Modeling
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling
Junyoung Chung
Çağlar Gülçehre
Dong Wang
Yoshua Bengio
1.4K
14,453
0
11 Dec 2014
Sequence to Sequence Learning with Neural Networks
Sequence to Sequence Learning with Neural NetworksNeural Information Processing Systems (NeurIPS), 2014
Ilya Sutskever
Oriol Vinyals
Quoc V. Le
AIMat
1.3K
21,896
0
10 Sep 2014
On the Properties of Neural Machine Translation: Encoder-Decoder
  Approaches
On the Properties of Neural Machine Translation: Encoder-Decoder Approaches
Dong Wang
B. V. Merrienboer
Dzmitry Bahdanau
Yoshua Bengio
AI4CEAIMat
1.1K
7,390
0
03 Sep 2014
Distributed Representations of Words and Phrases and their
  Compositionality
Distributed Representations of Words and Phrases and their CompositionalityNeural Information Processing Systems (NeurIPS), 2013
Tomas Mikolov
Ilya Sutskever
Kai Chen
G. Corrado
J. Dean
NAIOCL
999
35,033
0
16 Oct 2013
Speech Recognition with Deep Recurrent Neural Networks
Speech Recognition with Deep Recurrent Neural NetworksIEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2013
Alex Graves
Abdel-rahman Mohamed
Geoffrey E. Hinton
712
8,915
0
22 Mar 2013
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