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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks
v1v2v3v4v5v6v7v8v9v10v11 (latest)

Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

18 November 2015
Edward Choi
M. T. Bahadori
A. Schuetz
Walter F. Stewart
Jimeng Sun
ArXiv (abs)PDFHTML

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

50 / 308 papers shown
Title
Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of
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Efficient Symptom Inquiring and Diagnosis via Adaptive Alignment of Reinforcement Learning and Classification
Hongyi Yuan
Sheng Yu
70
19
0
01 Dec 2021
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and
  Future Opportunities
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities
Waddah Saeed
C. Omlin
XAI
102
446
0
11 Nov 2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit
  using Flexible Multimodal Transformers
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers
B. Shickel
P. Tighe
A. Bihorac
Parisa Rashidi
49
5
0
09 Nov 2021
Optimizing Binary Symptom Checkers via Approximate Message Passing
Optimizing Binary Symptom Checkers via Approximate Message Passing
Mohamed Akrout
F. Bellili
A. Mezghani
Hayet Amdouni
22
0
0
30 Oct 2021
How to Leverage Multimodal EHR Data for Better Medical Predictions?
How to Leverage Multimodal EHR Data for Better Medical Predictions?
Bo Yang
Lijun Wu
83
45
0
29 Oct 2021
Using Clinical Drug Representations for Improving Mortality and Length
  of Stay Predictions
Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions
Batuhan Bardak
Mehmet Tan
34
2
0
17 Oct 2021
Interpretable Additive Recurrent Neural Networks For Multivariate
  Clinical Time Series
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series
Asif Rahman
Yale Chang
Jonathan Rubin
AI4TSHAI
41
3
0
15 Sep 2021
Application of Machine Learning in Early Recommendation of Cardiac
  Resynchronization Therapy
Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy
Brendan E. Odigwe
F. Spinale
H. Valafar
25
3
0
13 Sep 2021
Patient Outcome and Zero-shot Diagnosis Prediction with
  Hypernetwork-guided Multitask Learning
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning
Shaoxiong Ji
Pekka Marttinen
69
5
0
07 Sep 2021
Global-Local Item Embedding for Temporal Set Prediction
Global-Local Item Embedding for Temporal Set Prediction
Seungjae Jung
Young-Jin Park
Jisu Jeong
KyungHyun Kim
Hiun Kim
Minkyu Kim
Hanock Kwak
24
3
0
05 Sep 2021
SANSformers: Self-Supervised Forecasting in Electronic Health Records
  with Attention-Free Models
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models
Yogesh Kumar
Alexander Ilin
H. Salo
S. Kulathinal
M. Leinonen
Pekka Marttinen
AI4TSMedIm
30
0
0
31 Aug 2021
Time Series Prediction using Deep Learning Methods in Healthcare
Time Series Prediction using Deep Learning Methods in Healthcare
M. Morid
O. R. Sheng
Josef A. Dunbar
OODAI4TS
67
121
0
30 Aug 2021
Unifying Heterogeneous Electronic Health Records Systems via Text-Based
  Code Embedding
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding
Kyunghoon Hur
Jiyoung Lee
Jungwoo Oh
Wesley Price
Young-Hak Kim
Edward Choi
103
19
0
08 Aug 2021
Transfer Learning in Electronic Health Records through Clinical Concept
  Embedding
Transfer Learning in Electronic Health Records through Clinical Concept Embedding
J. R. A. Solares
Yajie Zhu
A. Hassaine
Shishir Rao
Yikuan Li
M. Mamouei
D. Canoy
K. Rahimi
G. Salimi-Khorshidi
116
6
0
27 Jul 2021
Deep learning for temporal data representation in electronic health
  records: A systematic review of challenges and methodologies
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies
F. Xie
Han Yuan
Yilin Ning
M. Ong
Mengling Feng
Wynne Hsu
B. Chakraborty
Nan Liu
99
89
0
21 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic
  Health Records: a Review
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review
Irene Li
Jessica Pan
Jeremy Goldwasser
Neha Verma
Wai Pan Wong
...
Matthew Zhang
David Chang
R. Taylor
H. Krumholz
Dragomir R. Radev
BDL
86
159
0
07 Jul 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive
  Learning
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning
Shanshan Wang
Pengjie Ren
Zhumin Chen
Zhaochun Ren
Huasheng Liang
Qiang Yan
Evangelos Kanoulas
Maarten de Rijke
52
5
0
29 Jun 2021
Pastprop-RNN: improved predictions of the future by correcting the past
Pastprop-RNN: improved predictions of the future by correcting the past
A. M. Baptista
Yassine Baghoussi
Carlos Soares
João Mendes-Moreira
Miguel Arantes
AI4TS
47
2
0
25 Jun 2021
Modeling Diagnostic Label Correlation for Automatic ICD Coding
Modeling Diagnostic Label Correlation for Automatic ICD Coding
Shang-Chi Tsai
Chaorui Huang
Yun-Nung Chen
55
16
0
24 Jun 2021
Transformer-based unsupervised patient representation learning based on
  medical claims for risk stratification and analysis
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis
Xianlong Zeng
Simon M. Lin
Chang Liu
117
7
0
23 Jun 2021
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction
  of clinical events using multimodal longitudinal electronic health records
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records
Yikuan Li
M. Mamouei
G. Salimi-Khorshidi
Shishir Rao
A. Hassaine
D. Canoy
Thomas Lukasiewicz
K. Rahimi
96
82
0
21 Jun 2021
Medical Profile Model: Scientific and Practical Applications in
  Healthcare
Medical Profile Model: Scientific and Practical Applications in Healthcare
Pavel Blinov
V. Kokh
31
2
0
21 Jun 2021
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal
  Transport with Self-paced Ensemble
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble
Ruiqing Ding
Yu Zhou
Jie Xu
Yan Xie
Qiqiang Liang
He Ren
Yixuan Wang
Yanlin Chen
Leye Wang
Man Huang
OOD
33
5
0
18 Jun 2021
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal
  Health Event Prediction
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction
Chang Lu
Chandan K. Reddy
Yue Ning
62
31
0
09 Jun 2021
Explainable Health Risk Predictor with Transformer-based Medicare Claim
  Encoder
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder
Chuhong Lahlou
Ancil Crayton
C. Trier
E. Willett
MedIm
48
6
0
19 May 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event
  Prediction in Healthcare
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare
Chang Lu
Chandan K. Reddy
Prithwish Chakraborty
Samantha Kleinberg
Yue Ning
84
62
0
16 May 2021
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and
  Safe Drug Combinations
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations
Chaoqi Yang
Cao Xiao
Fenglong Ma
Lucas Glass
Jimeng Sun
46
85
0
05 May 2021
Supervised multi-specialist topic model with applications on large-scale
  electronic health record data
Supervised multi-specialist topic model with applications on large-scale electronic health record data
Ziyang Song
Xavier Sumba Toral
Yixin Xu
Aihua Liu
Liming Guo
G. Powell
Aman Verma
David L. Buckeridge
Ariane Marelli
Yue Li
18
12
0
04 May 2021
Neural Language Models with Distant Supervision to Identify Major
  Depressive Disorder from Clinical Notes
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes
Bhavani Singh Agnikula Kshatriya
N. Nuñez
Manuel Gardea-Reséndez
Euijung Ryu
B. Coombes
S. Fu
M. Frye
Joanna M. Biernacka
Yanshan Wang
29
6
0
19 Apr 2021
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities
Damian Pascual
Sandro Luck
Roger Wattenhofer
MedIm
73
55
0
14 Apr 2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With
  Electronic Health Record Data
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data
Tingyi Wanyan
Jing Zhang
Ying Ding
A. Azad
Zhangyang Wang
B. Glicksberg
67
10
0
07 Apr 2021
Multitask Recalibrated Aggregation Network for Medical Code Prediction
Multitask Recalibrated Aggregation Network for Medical Code Prediction
Wei Sun
Shaoxiong Ji
Min Zhang
Pekka Marttinen
82
9
0
02 Apr 2021
A Temporal Kernel Approach for Deep Learning with Continuous-time
  Information
A Temporal Kernel Approach for Deep Learning with Continuous-time Information
Da Xu
Chuanwei Ruan
Evren Körpeoglu
Sushant Kumar
Kannan Achan
SyDaAI4TS
52
5
0
28 Mar 2021
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using
  Multi-stream Transformer
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer
S. Fouladvand
J. Talbert
L. Dwoskin
H. Bush
A. Meadows
Lars E. Peterson
Ramakanth Kavuluru
Jin Chen
81
4
0
16 Mar 2021
Lifelong Learning based Disease Diagnosis on Clinical Notes
Lifelong Learning based Disease Diagnosis on Clinical Notes
Zifeng Wang
Yifan Yang
Rui Wen
Xi Chen
Shao-Lun Huang
Yefeng Zheng
CLL
68
5
0
27 Feb 2021
Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff
Jose H. Blanchet
F. Hernández
Viet Anh Nguyen
Markus Pelger
Xuhui Zhang
AI4TS
28
2
0
25 Feb 2021
Neural Pharmacodynamic State Space Modeling
Neural Pharmacodynamic State Space Modeling
Zeshan Hussain
Rahul G. Krishnan
David Sontag
BDLAI4CE
68
11
0
22 Feb 2021
Risk factor identification for incident heart failure using neural
  network distillation and variable selection
Risk factor identification for incident heart failure using neural network distillation and variable selection
Yikuan Li
Shishir Rao
M. Mamouei
G. Salimi-Khorshidi
D. Canoy
A. Hassaine
Thomas Lukasiewicz
Kazem Rahimi
23
0
0
17 Feb 2021
Temporal Cascade and Structural Modelling of EHRs for Granular
  Readmission Prediction
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction
B. Hettige
Weiqing Wang
Yuan-Fang Li
Suong Le
Wray Buntine
CML
31
0
0
04 Feb 2021
MUFASA: Multimodal Fusion Architecture Search for Electronic Health
  Records
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records
Zhen Xu
David R. So
Andrew M. Dai
Mamba
107
52
0
03 Feb 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
37
3
0
18 Jan 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health
  Records
Heterogeneous Similarity Graph Neural Network on Electronic Health Records
Zheng Liu
Xiaohan Li
Hao Peng
Lifang He
Philip S. Yu
90
66
0
17 Jan 2021
An Explainable CNN Approach for Medical Codes Prediction from Clinical
  Text
An Explainable CNN Approach for Medical Codes Prediction from Clinical Text
Shuyuan Hu
Fei Teng
OODFAtt
64
31
0
14 Jan 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19
  Patients
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients
Tingyi Wanyan
Hossein Honarvar
S. Jaladanki
Chengxi Zang
Nidhi Naik
...
Marinka Zitnik
Ariful Azad
Fei Wang
Ying Ding
Benjamin S. Glicksberg
28
0
0
11 Jan 2021
Characterizing Fairness Over the Set of Good Models Under Selective
  Labels
Characterizing Fairness Over the Set of Good Models Under Selective Labels
Amanda Coston
Ashesh Rambachan
Alexandra Chouldechova
FaML
105
85
0
02 Jan 2021
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language
  Understanding Pretraining
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Zhi Wen
Xing Han Lù
Siva Reddy
AI4MHAI4CE
56
37
0
27 Dec 2020
EVA: Generating Longitudinal Electronic Health Records Using Conditional
  Variational Autoencoders
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
Siddharth Biswal
S. Ghosh
J. Duke
B. Malin
Walter F. Stewart
Jimeng Sun
SyDaBDLDRL
124
41
0
18 Dec 2020
Building Deep Learning Models to Predict Mortality in ICU Patients
Building Deep Learning Models to Predict Mortality in ICU Patients
Huachuan Wang
Yuanfei Bi
45
0
0
11 Dec 2020
TRACE: Early Detection of Chronic Kidney Disease Onset with
  Transformer-Enhanced Feature Embedding
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding
Yu Wang
Ziqiao Guan
W. Hou
Fusheng Wang
MedIm
52
3
0
03 Dec 2020
A Survey on Principles, Models and Methods for Learning from Irregularly
  Sampled Time Series
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
52
45
0
30 Nov 2020
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