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1602.02685
Cited By
Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks
8 February 2016
Cristóbal Esteban
O. Staeck
Yinchong Yang
Volker Tresp
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Papers citing
"Predicting Clinical Events by Combining Static and Dynamic Information Using Recurrent Neural Networks"
29 / 29 papers shown
Title
Foundation Models for Time Series: A Survey
Siva Rama Krishna Kottapalli
Karthik Hubli
Sandeep Chandrashekhara
Garima Jain
Sunayana Hubli
Gayathri Botla
Ramesh Doddaiah
AI4TS
AI4CE
27
0
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
Sandra Zilker
Sven Weinzierl
Mathias Kraus
Patrick Zschech
Martin Matzner
29
7
0
21 May 2024
Time Series Predictions in Unmonitored Sites: A Survey of Machine Learning Techniques in Water Resources
J. Willard
C. Varadharajan
X. Jia
Vipin Kumar
AI4TS
17
3
0
18 Aug 2023
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction
Yuxi Liu
Zhenhao Zhang
Antonio Jimeno Yepes
Flora D. Salim
18
10
0
13 Jul 2022
Time Series Prediction using Deep Learning Methods in Healthcare
M. Morid
O. R. Sheng
Josef A. Dunbar
OOD
AI4TS
19
106
0
30 Aug 2021
Uncertainty-Aware Time-to-Event Prediction using Deep Kernel Accelerated Failure Time Models
Zhiliang Wu
Yinchong Yang
Peter A. Fasching
Volker Tresp
BDL
13
10
0
26 Jul 2021
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
13
3
0
18 Jan 2021
Incorporating Causal Effects into Deep Learning Predictions on EHR Data
Jia Li
Haoyu Yang
X. Jia
Vipin Kumar
M. Steinbach
György J. Simon
BDL
CML
20
1
0
11 Nov 2020
DeepRite: Deep Recurrent Inverse TreatmEnt Weighting for Adjusting Time-varying Confounding in Modern Longitudinal Observational Data
Yanbo Xu
Cao Xiao
Jimeng Sun
BDL
OOD
CML
8
1
0
28 Oct 2020
Predicting Future Sales of Retail Products using Machine Learning
Devendra Swami
Alay Dilipbhai Shah
Subhrajeet K B Ray
11
10
0
18 Aug 2020
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
11
5
0
17 Jul 2020
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score
Zhiliang Wu
Yinchong Yang
Yunpu Ma
Yushan Liu
Rui Zhao
Michael Moor
Volker Tresp
16
1
0
02 Jul 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
F. Sado
C. K. Loo
W. S. Liew
Matthias Kerzel
S. Wermter
19
48
0
21 Apr 2020
Artificial Intelligence for Social Good: A Survey
Zheyuan Ryan Shi
Claire Wang
Fei Fang
AI4TS
26
81
0
07 Jan 2020
Early Predictions for Medical Crowdfunding: A Deep Learning Approach Using Diverse Inputs
Tong Wang
Fujie Jin
Y. Hu
Yuan Cheng
OOD
20
5
0
09 Nov 2019
Neural networks trained with WiFi traces to predict airport passenger behavior
F. Orsini
Massimiliano Gastaldi
L. Mantecchini
R. Rossi
14
14
0
30 Oct 2019
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare
Shaika Chowdhury
Chenwei Zhang
Philip S. Yu
Yuan Luo
14
12
0
14 Oct 2019
Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes
Jonas Kemp
A. Rajkomar
Andrew M. Dai
24
10
0
06 Sep 2019
DeepHealth: Review and challenges of artificial intelligence in health informatics
Gloria Hyunjung Kwak
Pan Hui
SyDa
25
26
0
01 Sep 2019
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
9
6
0
28 Nov 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare
E. Choi
Cao Xiao
Walter F. Stewart
Jimeng Sun
10
234
0
22 Oct 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data
Yanbo Xu
Siddharth Biswal
S. Deshpande
K. Maher
Jimeng Sun
19
161
0
23 Jul 2018
Sampling-free Uncertainty Estimation in Gated Recurrent Units with Exponential Families
Seong Jae Hwang
Ronak R. Mehta
Hyunwoo J. Kim
Vikas Singh
BDL
UQCV
12
3
0
19 Apr 2018
Deep Learning to Attend to Risk in ICU
Phuoc Nguyen
T. Tran
Svetha Venkatesh
26
16
0
17 Jul 2017
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis
B. Shickel
P. Tighe
A. Bihorac
Parisa Rashidi
BDL
14
1,095
0
12 Jun 2017
Modeling The Intensity Function Of Point Process Via Recurrent Neural Networks
Shuai Xiao
Junchi Yan
Stephen M. Chu
Xiaokang Yang
H. Zha
AI4TS
15
266
0
24 May 2017
Clinical Intervention Prediction and Understanding using Deep Networks
Harini Suresh
Nathan Hunt
Alistair E. W. Johnson
L. A. Celi
Peter Szolovits
Marzyeh Ghassemi
OOD
14
131
0
23 May 2017
Predictive Clinical Decision Support System with RNN Encoding and Tensor Decoding
Yinchong Yang
Peter A. Fasching
M. Wallwiener
T. Fehm
S. Brucker
Volker Tresp
19
11
0
02 Dec 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
E. Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
34
1,228
0
19 Aug 2016
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