Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
1511.03677
Cited By
Learning to Diagnose with LSTM Recurrent Neural Networks
11 November 2015
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
Re-assign community
ArXiv
PDF
HTML
Papers citing
"Learning to Diagnose with LSTM Recurrent Neural Networks"
50 / 110 papers shown
Title
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data
Tian Guo
Tao R. Lin
Nino Antulov-Fantulin
AI4TS
26
154
0
28 May 2019
FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting
Chao Tan
Xin Feng
Jianwu Long
Li Geng
23
15
0
19 May 2019
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care
Mark Hoogendoorn
W. V. Breda
Jeroen Ruwaard
SyDa
11
0
0
11 Apr 2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks
Priyanka Gupta
Pankaj Malhotra
Jyoti Narwariya
L. Vig
Gautam M. Shroff
AI4TS
27
61
0
01 Apr 2019
Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness
A. Brink-Kjaer
A. N. Olesen
P. Peppard
K. Stone
P. Jennum
Emmanuel Mignot
H. Sørensen
30
17
0
15 Mar 2019
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU
William Caicedo-Torres
Jairo Gutiérrez
14
78
0
24 Jan 2019
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care
Ziyuan Pan
Hao Du
K. Ngiam
Fei Wang
Ping Shum
Mengling Feng
25
12
0
14 Jan 2019
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology
Kasun Bandara
Peibei Shi
Christoph Bergmeir
Hansika Hewamalage
Quoc-Huy Tran
Brian Seaman
AI4TS
22
146
0
13 Jan 2019
Neural networks versus Logistic regression for 30 days all-cause readmission prediction
Ahmed Allam
M. Nagy
G. Thoma
Michael Krauthammer
27
57
0
22 Dec 2018
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices
Saeed Saadatnejad
M. Oveisi
Matin Hashemi
18
296
0
12 Dec 2018
Predicting pregnancy using large-scale data from a women's health tracking mobile application
Bo Liu
Shuyang Shi
Yongshang Wu
Daniel Thomas
L. Symul
Emma Pierson
J. Leskovec
26
28
0
05 Dec 2018
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks
R. T. Sousa
Lucas A. Pereira
A. S. Soares
14
6
0
23 Nov 2018
Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting
Zahra Karevan
Johan A. K. Suykens
19
39
0
15 Nov 2018
Classification of 12-Lead ECG Signals with Bi-directional LSTM Network
A. Mostayed
David A. Moore
Srinivas Vasudevan
W. Wee
13
43
0
05 Nov 2018
Multimodal Machine Learning for Automated ICD Coding
Keyang Xu
Mike Lam
Jingzhi Pang
Xin Gao
Charlotte Band
...
A. Khanna
J. Cywinski
K. Maheshwari
P. Xie
Eric Xing
16
109
0
31 Oct 2018
Improving Generalization of Sequence Encoder-Decoder Networks for Inverse Imaging of Cardiac Transmembrane Potential
S. Ghimire
P. Gyawali
J. Sapp
M. Horacek
Linwei Wang
MedIm
33
1
0
12 Oct 2018
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record
Jinghe Zhang
Kamran Kowsari
James H. Harrison
J. Lobo
Laura E. Barnes
36
136
0
10 Oct 2018
Learning Deep Representations from Clinical Data for Chronic Kidney Disease
D. Luong
V. Chandola
31
1
0
01 Oct 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination
Junyuan Shang
Cao Xiao
Tengfei Ma
Hongyan Li
Jimeng Sun
GNN
30
254
0
06 Sep 2018
Deep EHR: Chronic Disease Prediction Using Medical Notes
Jingshu Liu
Zachariah Zhang
N. Razavian
29
105
0
15 Aug 2018
Predicting Acute Kidney Injury at Hospital Re-entry Using High-dimensional Electronic Health Record Data
Samuel J. Weisenthal
C. Quill
S. Farooq
Henry A. Kautz
M. Zand
OOD
14
14
0
25 Jul 2018
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
Multi-variable LSTM neural network for autoregressive exogenous model
Tian Guo
Tao R. Lin
BDL
AI4TS
43
19
0
17 Jun 2018
Natural Language Processing for EHR-Based Computational Phenotyping
Zexian Zeng
Yu Deng
Xiaoyu Li
Tristan Naumann
Yuan Luo
40
147
0
13 Jun 2018
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU
Harini Suresh
Jen J. Gong
John Guttag
28
85
0
07 Jun 2018
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
Chief complaint classification with recurrent neural networks
Scott H. Lee
Drew Levin
Patrick D. Finley
C. Heilig
21
30
0
19 May 2018
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity
Xiang Zhang
Lina Yao
Shuai Zhang
S. Kanhere
Michael Sheng
Yunhao Liu
13
77
0
01 May 2018
Multi-modality Sensor Data Classification with Selective Attention
Xiang Zhang
Lina Yao
Chaoran Huang
Sen Wang
Mingkui Tan
Guodong Long
Can Wang
23
37
0
16 Apr 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning
Bryan Lim
M. Schaar
24
32
0
27 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning
D. Bacciu
P. Lisboa
José D. Martín
R. Stoean
A. Vellido
AI4CE
BDL
33
17
0
27 Feb 2018
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
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
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection
S. Latif
Muhammad Usman
R. Rana
Junaid Qadir
35
143
0
25 Jan 2018
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
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data
Hugh Chen
Scott M. Lundberg
Su-In Lee
AI4CE
22
8
0
23 Jan 2018
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks
Franyell Silfa
Gem Dot
J. Arnau
Antonio González
33
39
0
20 Nov 2017
Attend and Diagnose: Clinical Time Series Analysis using Attention Models
Huan-Zhi Song
Deepta Rajan
Jayaraman J. Thiagarajan
A. Spanias
MLAU
52
447
0
10 Nov 2017
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
Learning to diagnose from scratch by exploiting dependencies among labels
L. Yao
Eric Poblenz
Dmitry Dagunts
Ben Covington
D. Bernard
Kevin Lyman
30
332
0
28 Oct 2017
Convolutional Recurrent Neural Networks for Electrocardiogram Classification
Martin Zihlmann
Dmytro Perekrestenko
Michael Tschannen
21
215
0
17 Oct 2017
Checkpoint Ensembles: Ensemble Methods from a Single Training Process
Hugh Chen
Scott M. Lundberg
Su-In Lee
UQCV
23
61
0
09 Oct 2017
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
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records
Zhengping Che
Yu Cheng
Shuangfei Zhai
Zhaonan Sun
Yan Liu
OOD
27
159
0
06 Sep 2017
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories
Jing Mei
Eryu Xia
Xiang Li
Guotong Xie
20
4
0
31 Jul 2017
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
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier
Joseph D. Futoma
S. Hariharan
Katherine A. Heller
24
172
0
13 Jun 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
31
1,094
0
12 Jun 2017
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
Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs
Yagmur Gizem Cinar
Hamid Mirisaee
Parantapa Goswami
Éric Gaussier
Ali Aït-Bachir
V. Strijov
AIMat
AI4TS
21
74
0
29 Mar 2017
Previous
1
2
3
Next