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Scalable and accurate deep learning for electronic health records

Scalable and accurate deep learning for electronic health records

24 January 2018
A. Rajkomar
Eyal Oren
Kai Chen
Andrew M. Dai
Nissan Hajaj
Peter J. Liu
Xiaobing Liu
Mimi Sun
Patrik Sundberg
H. Yee
Kun Zhang
Gavin E Duggan
Gerardo Flores
Michaela Hardt
Jamie Irvine
Quoc V. Le
Kurt Litsch
J. Marcus
Alexander Mossin
Justin Tansuwan
De Wang
James Wexler
Jimbo Wilson
Dana Ludwig
S. Volchenboum
Katherine Chou
Michael Pearson
Srinivasan Madabushi
N. Shah
A. Butte
M. Howell
Claire Cui
Greg S. Corrado
Jeffrey Dean
    OOD
    BDL
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Papers citing "Scalable and accurate deep learning for electronic health records"

22 / 22 papers shown
Title
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
No Black Box Anymore: Demystifying Clinical Predictive Modeling with Temporal-Feature Cross Attention Mechanism
Yubo Li
Xinyu Yao
R. Padman
FAtt
AI4TS
66
0
0
25 Mar 2025
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Trajectory Flow Matching with Applications to Clinical Time Series Modeling
Xi Zhang
Yuan Pu
Yuki Kawamura
Andrew Loza
Yoshua Bengio
Dennis L. Shung
Alexander Tong
OOD
AI4TS
MedIm
55
5
0
28 Oct 2024
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records
Zekai Wang
Tieming Liu
B. Yao
111
0
0
30 Jun 2024
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Unveiling the frontiers of deep learning: innovations shaping diverse domains
Shams Forruque Ahmed
Md. Sakib Bin Alam
Maliha Kabir
Shaila Afrin
Sabiha Jannat Rafa
Aanushka Mehjabin
Amir H. Gandomi
AI4CE
58
2
0
06 Sep 2023
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis
Maria Hügle
Gabriel Kalweit
T. Huegle
Joschka Boedecker
BDL
52
20
0
14 Aug 2020
Improving Palliative Care with Deep Learning
Improving Palliative Care with Deep Learning
Anand Avati
Kenneth Jung
S. Harman
L. Downing
A. Ng
N. Shah
47
369
0
17 Nov 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
67
1,103
0
12 Jun 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
42
131
0
23 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
98
864
0
22 Mar 2017
Dynamic Mortality Risk Predictions in Pediatric Critical Care Using
  Recurrent Neural Networks
Dynamic Mortality Risk Predictions in Pediatric Critical Care Using Recurrent Neural Networks
M. Aczon
D. Ledbetter
L. Ho
A. Gunny
A. Flynn
J. Williams
R. Wetzel
46
87
0
23 Jan 2017
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhiwen Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
768
6,768
0
26 Sep 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
42
62
0
02 Aug 2016
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
286
1,918
0
06 Jun 2016
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations
David M. Krueger
Tegan Maharaj
János Kramár
Mohammad Pezeshki
Nicolas Ballas
Nan Rosemary Ke
Anirudh Goyal
Yoshua Bengio
Aaron Courville
C. Pal
42
317
0
03 Jun 2016
A Theoretically Grounded Application of Dropout in Recurrent Neural
  Networks
A Theoretically Grounded Application of Dropout in Recurrent Neural Networks
Y. Gal
Zoubin Ghahramani
UQCV
DRL
BDL
93
1,644
0
16 Dec 2015
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
122
1,092
0
18 Nov 2015
Learning to Diagnose with LSTM Recurrent Neural Networks
Learning to Diagnose with LSTM Recurrent Neural Networks
Zachary Chase Lipton
David C. Kale
Charles Elkan
R. Wetzel
50
1,102
0
11 Nov 2015
Semi-supervised Sequence Learning
Semi-supervised Sequence Learning
Andrew M. Dai
Quoc V. Le
SSL
84
1,232
0
04 Nov 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
421
149,474
0
22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate
Neural Machine Translation by Jointly Learning to Align and Translate
Dzmitry Bahdanau
Kyunghyun Cho
Yoshua Bengio
AIMat
308
27,205
0
01 Sep 2014
A predictive analytics approach to reducing avoidable hospital
  readmission
A predictive analytics approach to reducing avoidable hospital readmission
Issac Shams
S. Ajorlou
Kairan Yang
OOD
43
13
0
24 Feb 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OOD
SSL
126
12,384
0
24 Jun 2012
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