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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

18 November 2015
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
ArXivPDFHTML

Papers citing "Doctor AI: Predicting Clinical Events via Recurrent Neural Networks"

50 / 307 papers shown
Title
Deep learning for comprehensive forecasting of Alzheimer's Disease
  progression
Deep learning for comprehensive forecasting of Alzheimer's Disease progression
Charles K. Fisher
Aaron M. Smith
J. Morris
P. Aisen
OOD
21
150
0
10 Jul 2018
Transfer Learning for Clinical Time Series Analysis using Recurrent
  Neural Networks
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks
Priyanka Gupta
Pankaj Malhotra
L. Vig
Gautam M. Shroff
27
40
0
04 Jul 2018
Supervised Reinforcement Learning with Recurrent Neural Network for
  Dynamic Treatment Recommendation
Supervised Reinforcement Learning with Recurrent Neural Network for Dynamic Treatment Recommendation
Lu Wang
Wei Zhang
Xiaofeng He
H. Zha
19
259
0
04 Jul 2018
Leveraging Disease Progression Learning for Medical Image Recognition
Leveraging Disease Progression Learning for Medical Image Recognition
Qicheng Lao
T. Fevens
Boyu Wang
MedIm
19
1
0
26 Jun 2018
Neural Ordinary Differential Equations
Neural Ordinary Differential Equations
T. Chen
Yulia Rubanova
J. Bettencourt
David Duvenaud
AI4CE
110
4,960
0
19 Jun 2018
Detecting and interpreting myocardial infarction using fully
  convolutional neural networks
Detecting and interpreting myocardial infarction using fully convolutional neural networks
Nils Strodthoff
C. Strodthoff
43
150
0
18 Jun 2018
Hardware Trojan Attacks on Neural Networks
Hardware Trojan Attacks on Neural Networks
Joseph Clements
Yingjie Lao
AAML
27
89
0
14 Jun 2018
Learning Tasks for Multitask Learning: Heterogenous Patient Populations
  in the ICU
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU
Harini Suresh
Jen J. Gong
John Guttag
28
85
0
07 Jun 2018
Deep Mixed Effect Model using Gaussian Processes: A Personalized and
  Reliable Prediction for Healthcare
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
Ingyo Chung
Saehoon Kim
Juho Lee
Kwang Joon Kim
Sung Ju Hwang
Eunho Yang
BDL
FedML
27
16
0
05 Jun 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent
  Neural Networks on Electronic Medical Records
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records
Bum Chul Kwon
Min-Je Choi
J. Kim
Edward Choi
Young Bin Kim
Soonwook Kwon
Jimeng Sun
Jaegul Choo
42
251
0
28 May 2018
BRITS: Bidirectional Recurrent Imputation for Time Series
BRITS: Bidirectional Recurrent Imputation for Time Series
Wei Cao
Dong Wang
Jian Li
Hao Zhou
Lei Li
Yitan Li
AI4TS
28
606
0
27 May 2018
Chief complaint classification with recurrent neural networks
Chief complaint classification with recurrent neural networks
Scott H. Lee
Drew Levin
Patrick D. Finley
C. Heilig
21
30
0
19 May 2018
Learning Patient Representations from Text
Learning Patient Representations from Text
Dmitriy Dligach
Timothy A. Miller
13
17
0
05 May 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Bryan Lim
M. Schaar
24
32
0
27 Mar 2018
A Probabilistic Disease Progression Model for Predicting Future Clinical
  Outcome
A Probabilistic Disease Progression Model for Predicting Future Clinical Outcome
Yingying Zhu
M. Sabuncu
16
5
0
13 Mar 2018
A Generative Modeling Approach to Limited Channel ECG Classification
A Generative Modeling Approach to Limited Channel ECG Classification
Deepta Rajan
Jayaraman J. Thiagarajan
29
35
0
18 Feb 2018
Explainable Prediction of Medical Codes from Clinical Text
Explainable Prediction of Medical Codes from Clinical Text
J. Mullenbach
Sarah Wiegreffe
J. Duke
Jimeng Sun
Jacob Eisenstein
FAtt
34
567
0
15 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical
  Care
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab
E. Keller
C. Muroi
David J. Mack
C. Strässle
W. Karlen
29
23
0
14 Feb 2018
Identify Susceptible Locations in Medical Records via Adversarial
  Attacks on Deep Predictive Models
Identify Susceptible Locations in Medical Records via Adversarial Attacks on Deep Predictive Models
Mengying Sun
Fengyi Tang
Jinfeng Yi
Fei Wang
Jiayu Zhou
AAML
OOD
MedIm
34
61
0
13 Feb 2018
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk
  Prediction
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction
Brandon Ballinger
Johnson Hsieh
Avesh Singh
N. Sohoni
Jack Wang
...
G. Marcus
Jose M. Sanchez
Carol Maguire
J. Olgin
M. Pletcher
HAI
36
130
0
07 Feb 2018
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using
  MIMIC-III Clinical Notes
An Empirical Evaluation of Deep Learning for ICD-9 Code Assignment using MIMIC-III Clinical Notes
Jinmiao Huang
C. Osorio
Luke Wicent Sy
35
110
0
07 Feb 2018
Dual Memory Neural Computer for Asynchronous Two-view Sequential
  Learning
Dual Memory Neural Computer for Asynchronous Two-view Sequential Learning
Hung Le
T. Tran
Svetha Venkatesh
22
101
0
02 Feb 2018
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient
  Stratification
Deep Learning in Pharmacogenomics: From Gene Regulation to Patient Stratification
Alexandr A Kalinin
Gerald A. Higgins
Narathip Reamaroon
S. M. Reza Soroushmehr
Ari Allyn-Feuer
I. Dinov
Kayvan Najarian
B. Athey
OOD
36
122
0
25 Jan 2018
Scalable and accurate deep learning for electronic health records
Scalable and accurate deep learning for electronic health records
A. Rajkomar
Eyal Oren
Kai Chen
Andrew M. Dai
Nissan Hajaj
...
A. Butte
M. Howell
Claire Cui
Greg S. Corrado
Jeffrey Dean
OOD
BDL
44
2,110
0
24 Jan 2018
Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic
  Cancer Patients
Abstract: Probabilistic Prognostic Estimates of Survival in Metastatic Cancer Patients
Imon Banerjee
Michael Gensheimer
D. Wood
S. Henry
D. Chang
D. Rubin
19
26
0
09 Jan 2018
Representation Learning with Autoencoders for Electronic Health Records:
  A Comparative Study
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study
Najibesadat Sadati
Milad Zafar Nezhad
Kairan Yang
D. Zhu
OOD
BDL
11
12
0
06 Jan 2018
An innovative solution for breast cancer textual big data analysis
An innovative solution for breast cancer textual big data analysis
Nicolas Thiebaut
Antoine Simoulin
K. Neuberger
Issam Ibnouhsein
Nicolas Bousquet
N. Reix
S. Molière
C. Mathelin
31
3
0
06 Dec 2017
Sum of previous inpatient serum creatinine measurements predicts acute
  kidney injury in rehospitalized patients
Sum of previous inpatient serum creatinine measurements predicts acute kidney injury in rehospitalized patients
Samuel J. Weisenthal
Haofu Liao
P. Ng
M. Zand
14
4
0
05 Dec 2017
Estimating Missing Data in Temporal Data Streams Using Multi-directional
  Recurrent Neural Networks
Estimating Missing Data in Temporal Data Streams Using Multi-directional Recurrent Neural Networks
Jinsung Yoon
W. Zame
Mihaela van der Schaar
AI4TS
30
230
0
23 Nov 2017
Classification of postoperative surgical site infections from blood
  measurements with missing data using recurrent neural networks
Classification of postoperative surgical site infections from blood measurements with missing data using recurrent neural networks
Andreas Storvik Strauman
F. Bianchi
Karl Øyvind Mikalsen
Michael C. Kampffmeyer
C. Soguero-Ruíz
Robert Jenssen
25
20
0
17 Nov 2017
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Beyond Sparsity: Tree Regularization of Deep Models for Interpretability
Mike Wu
M. C. Hughes
S. Parbhoo
Maurizio Zazzi
Volker Roth
Finale Doshi-Velez
AI4CE
28
281
0
16 Nov 2017
Medical Diagnosis From Laboratory Tests by Combining Generative and
  Discriminative Learning
Medical Diagnosis From Laboratory Tests by Combining Generative and Discriminative Learning
Shiyue Zhang
P. Xie
Dong Wang
Eric Xing
MedIm
27
14
0
12 Nov 2017
Predicting Discharge Medications at Admission Time Based on Deep
  Learning
Predicting Discharge Medications at Admission Time Based on Deep Learning
Yu’an Yang
P. Xie
Xin Gao
C. Cheng
Yuan Li
Hongbao Zhang
Eric Xing
BDL
46
10
0
04 Nov 2017
Discrete Event, Continuous Time RNNs
Discrete Event, Continuous Time RNNs
Michael C. Mozer
Denis Kazakov
Robert V. Lindsey
16
53
0
11 Oct 2017
Multi-Label Classification of Patient Notes a Case Study on ICD Code
  Assignment
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment
Tal Baumel
Jumana Nassour-Kassis
Raphael Cohen
Michael Elhadad
Noémie Elhadad
24
200
0
27 Sep 2017
EMR-based medical knowledge representation and inference via Markov
  random fields and distributed representation learning
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning
Chao Zhao
Jingchi Jiang
Y. Guan
20
39
0
20 Sep 2017
Time-Dependent Representation for Neural Event Sequence Prediction
Time-Dependent Representation for Neural Event Sequence Prediction
Yang Li
Nan Du
Samy Bengio
AI4TS
12
59
0
31 Jul 2017
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models
  from Regional EHR Repositories
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Jing Mei
Eryu Xia
Xiang Li
Guotong Xie
28
4
0
31 Jul 2017
SLEEPNET: Automated Sleep Staging System via Deep Learning
SLEEPNET: Automated Sleep Staging System via Deep Learning
Siddharth Biswal
Joshua A. Kulas
Haoqi Sun
B. Goparaju
M. P. M. Brandon Westover
M. Bianchi
Jimeng Sun
MLAU
20
136
0
26 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) Analysis
B. Shickel
P. Tighe
A. Bihorac
Parisa Rashidi
BDL
31
1,094
0
12 Jun 2017
Bayesian LSTMs in medicine
Bayesian LSTMs in medicine
J. Westhuizen
Joan Lasenby
BDL
OOD
17
16
0
05 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
23
265
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
33
131
0
23 May 2017
Effective Representations of Clinical Notes
Effective Representations of Clinical Notes
Sébastien Dubois
Nathanael Romano
David C. Kale
N. Shah
Kenneth Jung
15
23
0
19 May 2017
Multitask learning and benchmarking with clinical time series data
Multitask learning and benchmarking with clinical time series data
Hrayr Harutyunyan
Hrant Khachatrian
David C. Kale
Greg Ver Steeg
Aram Galstyan
OOD
AI4TS
56
858
0
22 Mar 2017
Condensed Memory Networks for Clinical Diagnostic Inferencing
Condensed Memory Networks for Clinical Diagnostic Inferencing
Aaditya (Adi) Prakash
Siyuan Zhao
Sadid A. Hasan
Vivek Datla
Kathy Lee
Ashequl Qadir
Joey Liu
Oladimeji Farri
22
102
0
06 Dec 2016
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
29
11
0
02 Dec 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning
GRAM: Graph-based Attention Model for Healthcare Representation Learning
Edward Choi
M. T. Bahadori
Le Song
Walter F. Stewart
Jimeng Sun
GNN
44
665
0
21 Nov 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism
Edward Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
AI4TS
60
1,232
0
19 Aug 2016
Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests
Multi-task Prediction of Disease Onsets from Longitudinal Lab Tests
N. Razavian
Jake Marcus
David A. Sontag
25
62
0
02 Aug 2016
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