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
Edward 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"

10 / 360 papers shown
Title
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
36
251
0
28 May 2018
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Uncertainty-Aware Attention for Reliable Interpretation and Prediction
Jay Heo
Haebeom Lee
Saehoon Kim
Juho Lee
Kwang Joon Kim
Eunho Yang
Sung Ju Hwang
OOD
17
87
0
24 May 2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
HeteroMed: Heterogeneous Information Network for Medical Diagnosis
Anahita Hosseini
Ting-Li Chen
Wenjun Wu
Yizhou Sun
Majid Sarrafzadeh
19
50
0
22 Apr 2018
Learning the Joint Representation of Heterogeneous Temporal Events for
  Clinical Endpoint Prediction
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction
Luchen Liu
Jianhao Shen
Ming Zhang
Zichang Wang
Jian Tang
21
44
0
13 Mar 2018
Highrisk Prediction from Electronic Medical Records via Deep Attention
  Networks
Highrisk Prediction from Electronic Medical Records via Deep Attention Networks
You Jin Kim
Yun-Geun Lee
Jeong-Whun Kim
Jin Joo Park
Borim Ryu
Jung-Woo Ha
41
21
0
30 Nov 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
Position-based Content Attention for Time Series Forecasting with
  Sequence-to-sequence RNNs
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
Joint Modeling of Event Sequence and Time Series with Attentional Twin
  Recurrent Neural Networks
Joint Modeling of Event Sequence and Time Series with Attentional Twin Recurrent Neural Networks
Shuai Xiao
Junchi Yan
Mehrdad Farajtabar
Le Song
Xiaokang Yang
H. Zha
AI4TS
26
44
0
24 Mar 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
Previous
12345678