ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1608.05745
  4. Cited By
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse
  Time Attention Mechanism

RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism

19 August 2016
E. Choi
M. T. Bahadori
Joshua A. Kulas
A. Schuetz
Walter F. Stewart
Jimeng Sun
    AI4TS
ArXivPDFHTML

Papers citing "RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism"

50 / 345 papers shown
Title
AttendLight: Universal Attention-Based Reinforcement Learning Model for
  Traffic Signal Control
AttendLight: Universal Attention-Based Reinforcement Learning Model for Traffic Signal Control
Afshin Oroojlooy
M. Nazari
Davood Hajinezhad
Jorge Silva
16
84
0
12 Oct 2020
Augmenting Physical Models with Deep Networks for Complex Dynamics
  Forecasting
Augmenting Physical Models with Deep Networks for Complex Dynamics Forecasting
Yuan Yin
Vincent Le Guen
Jérémie Donà
Emmanuel de Bézenac
Ibrahim Ayed
Nicolas Thome
Patrick Gallinari
AI4CE
PINN
30
132
0
09 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health
  Records (EHR): A Systematic Review
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review
Yuqi Si
Jingcheng Du
Zhao Li
Xiaoqian Jiang
T. Miller
Fei Wang
W. J. Zheng
Kirk Roberts
OOD
13
154
0
06 Oct 2020
Bidirectional Representation Learning from Transformers using Multimodal
  Electronic Health Record Data to Predict Depression
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression
Yiwen Meng
W. Speier
Michael K. Ong
C. Arnold
16
0
0
26 Sep 2020
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical
  Outcomes
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes
Xueping Peng
Guodong Long
Tao Shen
Sen Wang
Jing Jiang
Chengqi Zhang
9
15
0
24 Sep 2020
Transfer Learning in Deep Reinforcement Learning: A Survey
Transfer Learning in Deep Reinforcement Learning: A Survey
Zhuangdi Zhu
Kaixiang Lin
Anil K. Jain
Jiayu Zhou
OffRL
LRM
14
560
0
16 Sep 2020
Actionable Interpretation of Machine Learning Models for Sequential
  Data: Dementia-related Agitation Use Case
Actionable Interpretation of Machine Learning Models for Sequential Data: Dementia-related Agitation Use Case
Nutta Homdee
J. Lach
11
1
0
10 Sep 2020
Why I'm not Answering: Understanding Determinants of Classification of
  an Abstaining Classifier for Cancer Pathology Reports
Why I'm not Answering: Understanding Determinants of Classification of an Abstaining Classifier for Cancer Pathology Reports
S. Dhaubhadel
J. Mohd-Yusof
K. Ganguly
Gopinath Chennupati
S. Thulasidasan
...
Georgia D. Tourassi
Linda Coyle
Lynne Penberthy
Benjamin H. McMahon
T. Bhattacharya
6
2
0
10 Sep 2020
Enhancing the Interpretability of Deep Models in Heathcare Through
  Attention: Application to Glucose Forecasting for Diabetic People
Enhancing the Interpretability of Deep Models in Heathcare Through Attention: Application to Glucose Forecasting for Diabetic People
Maxime De Bois
M. El-Yacoubi
M. Ammi
6
5
0
08 Sep 2020
Interpreting Deep Glucose Predictive Models for Diabetic People Using
  RETAIN
Interpreting Deep Glucose Predictive Models for Diabetic People Using RETAIN
Maxime De Bois
M. El-Yacoubi
M. Ammi
6
3
0
08 Sep 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph
  Convolutional Networks
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks
Zifeng Wang
Rui Wen
Xi Chen
Shilei Cao
Shao-Lun Huang
B. Qian
Yefeng Zheng
16
30
0
06 Sep 2020
All Data Inclusive, Deep Learning Models to Predict Critical Events in
  the Medical Information Mart for Intensive Care III Database (MIMIC III)
All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III)
Anubhav Reddy Nallabasannagari
M. Reddiboina
R. Seltzer
Trevor Zeffiro
Ajay Sharma
M. Bhandari
21
10
0
02 Sep 2020
PREMIER: Personalized REcommendation for Medical prescrIptions from
  Electronic Records
PREMIER: Personalized REcommendation for Medical prescrIptions from Electronic Records
Suman Bhoi
M. Lee
W. Hsu
8
12
0
28 Aug 2020
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the
  Right Direction
Tackling COVID-19 through Responsible AI Innovation: Five Steps in the Right Direction
David Leslie
19
67
0
15 Aug 2020
Spatiotemporal Attention for Multivariate Time Series Prediction and
  Interpretation
Spatiotemporal Attention for Multivariate Time Series Prediction and Interpretation
Tryambak Gangopadhyay
Sin Yong Tan
Zhanhong Jiang
Rui Meng
S. Sarkar
AI4TS
13
45
0
11 Aug 2020
Cross-Global Attention Graph Kernel Network Prediction of Drug
  Prescription
Cross-Global Attention Graph Kernel Network Prediction of Drug Prescription
Hao-Ren Yao
D. Chang
O. Frieder
Wendy Huang
I. Liang
C. Hung
GNN
15
4
0
04 Aug 2020
A Simple and Interpretable Predictive Model for Healthcare
A Simple and Interpretable Predictive Model for Healthcare
S. Maji
Raghav Bali
S. Ankem
Kishore V Ayyadevara
19
1
0
27 Jul 2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic
  for Interpretable Prognosis
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
9
5
0
17 Jul 2020
Attention Mechanism for Multivariate Time Series Recurrent Model
  Interpretability Applied to the Ironmaking Industry
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry
C. Schockaert
Reinhard Leperlier
Assaad Moawad
AI4TS
AI4CE
8
9
0
15 Jul 2020
Deep Contextual Clinical Prediction with Reverse Distillation
Deep Contextual Clinical Prediction with Reverse Distillation
Rohan Kodialam
Rebecca Boiarsky
Justin Lim
Neil Dixit
Aditya Sai
David Sontag
15
25
0
10 Jul 2020
ProtoryNet - Interpretable Text Classification Via Prototype
  Trajectories
ProtoryNet - Interpretable Text Classification Via Prototype Trajectories
Dat Hong
Tong Wang
Stephen S. Baek
AI4TS
7
0
0
03 Jul 2020
Learning Individualized Treatment Rules with Estimated Translated
  Inverse Propensity Score
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
Survey on Visual Analysis of Event Sequence Data
Survey on Visual Analysis of Event Sequence Data
Yi Guo
Shunan Guo
Zhuochen Jin
Smiti Kaul
David Gotz
Nan Cao
AI4TS
18
103
0
25 Jun 2020
Crop Yield Prediction Integrating Genotype and Weather Variables Using
  Deep Learning
Crop Yield Prediction Integrating Genotype and Weather Variables Using Deep Learning
Johnathon Shook
Tryambak Gangopadhyay
Linjian Wu
Baskar Ganapathysubramanian
S. Sarkar
Asheesh K. Singh
21
131
0
24 Jun 2020
Clinical Risk Prediction with Temporal Probabilistic Asymmetric
  Multi-Task Learning
Clinical Risk Prediction with Temporal Probabilistic Asymmetric Multi-Task Learning
T. Nguyen
Hyewon Jeong
Eunho Yang
Sung Ju Hwang
10
15
0
23 Jun 2020
Improving Workflow Integration with xPath: Design and Evaluation of a
  Human-AI Diagnosis System in Pathology
Improving Workflow Integration with xPath: Design and Evaluation of a Human-AI Diagnosis System in Pathology
H. Gu
Yuan Liang
Yifan Xu
Christopher Kazu Williams
S. Magaki
...
Wenzhong Yan
X. R. Zhang
Yang Li
Mohammad Haeri
Xiang Ánthony' Chen
24
29
0
23 Jun 2020
Self-Attention Enhanced Patient Journey Understanding in Healthcare
  System
Self-Attention Enhanced Patient Journey Understanding in Healthcare System
Xueping Peng
Guodong Long
Tao Shen
Sen Wang
Jing Jiang
AI4TS
6
17
0
15 Jun 2020
Why Attentions May Not Be Interpretable?
Why Attentions May Not Be Interpretable?
Bing Bai
Jian Liang
Guanhua Zhang
Hao Li
Kun Bai
Fei-Yue Wang
FAtt
12
56
0
10 Jun 2020
Cost-effective Interactive Attention Learning with Neural Attention
  Processes
Cost-effective Interactive Attention Learning with Neural Attention Processes
Jay Heo
Junhyeong Park
Hyewon Jeong
Kwang Joon Kim
Juho Lee
Eunho Yang
Sung Ju Hwang
14
8
0
09 Jun 2020
Serverless on FHIR: Deploying machine learning models for healthcare on
  the cloud
Serverless on FHIR: Deploying machine learning models for healthcare on the cloud
B. Eapen
K. Sartipi
N. Archer
15
4
0
08 Jun 2020
A Semiparametric Approach to Interpretable Machine Learning
A Semiparametric Approach to Interpretable Machine Learning
Numair Sani
Jaron J. R. Lee
Razieh Nabi
I. Shpitser
10
6
0
08 Jun 2020
Med-BERT: pre-trained contextualized embeddings on large-scale
  structured electronic health records for disease prediction
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction
L. Rasmy
Yang Xiang
Z. Xie
Cui Tao
Degui Zhi
AI4MH
LM&MA
19
655
0
22 May 2020
Clinical Predictive Models for COVID-19: Systematic Study
Clinical Predictive Models for COVID-19: Systematic Study
Patrick Schwab
August DuMont Schütte
Benedikt Dietz
Stefan Bauer
OOD
ELM
42
35
0
17 May 2020
A Survey on Temporal Reasoning for Temporal Information Extraction from
  Text (Extended Abstract)
A Survey on Temporal Reasoning for Temporal Information Extraction from Text (Extended Abstract)
A. Leeuwenberg
Marie-Francine Moens
6
31
0
13 May 2020
Time Series Forecasting With Deep Learning: A Survey
Time Series Forecasting With Deep Learning: A Survey
Bryan Lim
S. Zohren
AI4TS
AI4CE
31
1,184
0
28 Apr 2020
Interpretation of Deep Temporal Representations by Selective
  Visualization of Internally Activated Nodes
Interpretation of Deep Temporal Representations by Selective Visualization of Internally Activated Nodes
Sohee Cho
Ginkyeng Lee
Wonjoon Chang
Jaesik Choi
30
16
0
27 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction
  for Understanding Deep Learning Models in the Context of Sequential Data
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data
B. Shickel
Parisa Rashidi
AI4TS
25
17
0
27 Apr 2020
Explainable Goal-Driven Agents and Robots -- A Comprehensive Review
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
Boxer: Interactive Comparison of Classifier Results
Boxer: Interactive Comparison of Classifier Results
Michael Gleicher
Aditya Barve
Xinyi Yu
Florian Heimerl
VLM
HAI
8
40
0
16 Apr 2020
Multi-task Learning via Adaptation to Similar Tasks for Mortality
  Prediction of Diverse Rare Diseases
Multi-task Learning via Adaptation to Similar Tasks for Mortality Prediction of Diverse Rare Diseases
Luchen Liu
Zequn Liu
Haoxian Wu
Zichang Wang
Jianhao Shen
Yiping Song
Ming Zhang
17
19
0
11 Apr 2020
Forecasting in multivariate irregularly sampled time series with missing
  values
Forecasting in multivariate irregularly sampled time series with missing values
Shivam Srivastava
Prithviraj Sen
B. Reinwald
AI4TS
26
3
0
06 Apr 2020
TRACER: A Framework for Facilitating Accurate and Interpretable
  Analytics for High Stakes Applications
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications
Kaiping Zheng
Shaofeng Cai
H. Chua
Wei Wang
K. Ngiam
Beng Chin Ooi
AI4TS
13
26
0
24 Mar 2020
G-Net: A Deep Learning Approach to G-computation for Counterfactual
  Outcome Prediction Under Dynamic Treatment Regimes
G-Net: A Deep Learning Approach to G-computation for Counterfactual Outcome Prediction Under Dynamic Treatment Regimes
Rui Li
Zach Shahn
Jun Li
Mingyu Lu
Prithwish Chakraborty
Daby M. Sow
Mohamed F. Ghalwash
Li-wei H. Lehman
CML
AI4CE
PINN
BDL
6
12
0
23 Mar 2020
Deep Bayesian Gaussian Processes for Uncertainty Estimation in
  Electronic Health Records
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records
Yikuan Li
Shishir Rao
A. Hassaine
R. Ramakrishnan
Yajie Zhu
D. Canoy
G. Salimi-Khorshidi
Thomas Lukasiewicz
K. Rahimi
BDL
UQCV
6
35
0
23 Mar 2020
What went wrong and when? Instance-wise Feature Importance for
  Time-series Models
What went wrong and when? Instance-wise Feature Importance for Time-series Models
S. Tonekaboni
Shalmali Joshi
Kieran Campbell
D. Duvenaud
Anna Goldenberg
FAtt
OOD
AI4TS
49
14
0
05 Mar 2020
Adaptive Prediction Timing for Electronic Health Records
Adaptive Prediction Timing for Electronic Health Records
J. Deasy
A. Ercole
Pietro Lió
OOD
9
1
0
05 Mar 2020
A Visual Analytics System for Multi-model Comparison on Clinical Data
  Predictions
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions
Yiran Li
Takanori Fujiwara
Y. Choi
Katherine K. Kim
K. Ma
OOD
6
27
0
18 Feb 2020
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
StageNet: Stage-Aware Neural Networks for Health Risk Prediction
Junyi Gao
Cao Xiao
Yasha Wang
Wen Tang
Lucas Glass
Jimeng Sun
37
91
0
24 Jan 2020
Visual Summary of Value-level Feature Attribution in Prediction Classes
  with Recurrent Neural Networks
Visual Summary of Value-level Feature Attribution in Prediction Classes with Recurrent Neural Networks
Chuan-Chi Wang
Xumeng Wang
K. Ma
FAtt
HAI
15
1
0
23 Jan 2020
Learning Dynamic and Personalized Comorbidity Networks from Event Data
  using Deep Diffusion Processes
Learning Dynamic and Personalized Comorbidity Networks from Event Data using Deep Diffusion Processes
Zhaozhi Qian
Ahmed Alaa
Alexis Bellot
J. Rashbass
M. Schaar
DiffM
MedIm
23
17
0
08 Jan 2020
Previous
1234567
Next