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

19 August 2016

Jimeng Sun

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

45 / 345 papers shown

Title
Artificial Intelligence for Social Good: A Survey Zheyuan Ryan Shi Claire Wang Fei Fang AI4TS 26 81 0 07 Jan 2020
Language Models Are An Effective Patient Representation Learning Technique For Electronic Health Record Data E. Steinberg Kenneth Jung Jason Alan Fries Conor K. Corbin Stephen R. Pfohl N. Shah 15 103 0 06 Jan 2020
Explainable Deep Relational Networks for Predicting Compound-Protein Affinities and Contacts Mostafa Karimi Di Wu Zhangyang Wang Yang Shen 27 46 0 29 Dec 2019
Opportunities and Challenges of Deep Learning Methods for Electrocardiogram Data: A Systematic Review linda Qiao Yuxi Zhou Junyuan Shang Cao Xiao Jimeng Sun 33 123 0 28 Dec 2019
BioConceptVec: creating and evaluating literature-based biomedical concept embeddings on a large scale Qingyu Chen Kyubum Lee Shankai Yan Sun Kim Chih-Hsuan Wei Zhiyong Lu 11 47 0 23 Dec 2019
Hierarchical Target-Attentive Diagnosis Prediction in Heterogeneous Information Networks Anahita Hosseini Tyler Davis Majid Sarrafzadeh 13 4 0 22 Dec 2019
Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting Bryan Lim Sercan Ö. Arik Nicolas Loeff Tomas Pfister AI4TS 21 1,406 0 19 Dec 2019
$$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records$ $\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records B. Hettige Yuan-Fang Li Weiqing Wang Suong Le Wray L. Buntine 14 18 0 08 Dec 2019
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements Mehak Gupta T. Phan Timothy Bunnell Rahmatollah Beheshti 16 67 0 05 Dec 2019
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 19 296 0 03 Dec 2019
ConCare: Personalized Clinical Feature Embedding via Capturing the Healthcare Context Liantao Ma Chaohe Zhang Yasha Wang Wenjie Ruan Jiantao Wang Wen Tang Xinyu Ma Xin Gao Junyi Gao 12 151 0 27 Nov 2019
AdaCare: Explainable Clinical Health Status Representation Learning via Scale-Adaptive Feature Extraction and Recalibration Liantao Ma Junyi Gao Yasha Wang Chaohe Zhang Jiangtao Wang Wenjie Ruan Wen Tang Xin Gao Xinyu Ma OOD AI4TS 14 112 0 27 Nov 2019
Analysis of Explainers of Black Box Deep Neural Networks for Computer Vision: A Survey Vanessa Buhrmester David Münch Michael Arens MLAU FaML XAI AAML 19 353 0 27 Nov 2019
CONAN: Complementary Pattern Augmentation for Rare Disease Detection Limeng Cui Siddharth Biswal Lucas Glass Greg Lever Jimeng Sun Cao Xiao MedIm 6 37 0 26 Nov 2019
Doctor2Vec: Dynamic Doctor Representation Learning for Clinical Trial Recruitment Siddharth Biswal Cao Xiao Lucas Glass Elizabeth Milkovits Jimeng Sun CML 11 20 0 23 Nov 2019
SAVEHR: Self Attention Vector Representations for EHR based Personalized Chronic Disease Onset Prediction and Interpretability S. Mallya J. Overhage S. Bodapati Navneet Srivastava Sahika Genc OOD 13 1 0 13 Nov 2019
ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data A. Kabeshova Yiyang Yu Bertrand Lukacs Emmanuel Bacry Stéphane Gaïffas VLM MedIm 17 2 0 13 Nov 2019
Predictive Multi-level Patient Representations from Electronic Health Records Zichang Wang Haoran Li Luchen Liu Haoxian Wu Ming Zhang 9 4 0 12 Nov 2019
Understanding Multi-Head Attention in Abstractive Summarization Joris Baan Maartje ter Hoeve M. V. D. Wees Anne Schuth Maarten de Rijke AAML 19 23 0 10 Nov 2019
Discovering Invariances in Healthcare Neural Networks M. T. Bahadori Layne Price OOD 11 0 0 08 Nov 2019
CXPlain: Causal Explanations for Model Interpretation under Uncertainty Patrick Schwab W. Karlen FAtt CML 29 205 0 27 Oct 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 21 51 0 27 Oct 2019
Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI Alejandro Barredo Arrieta Natalia Díaz Rodríguez Javier Del Ser Adrien Bennetot S. Tabik ... S. Gil-Lopez Daniel Molina Richard Benjamins Raja Chatila Francisco Herrera XAI 37 6,109 0 22 Oct 2019
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare Shaika Chowdhury Chenwei Zhang Philip S. Yu Yuan Luo 14 12 0 14 Oct 2019
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis Margherita Rosnati Vincent Fortuin 8 34 0 27 Sep 2019
Explainable Deep Learning for Augmentation of sRNA Expression Profiles J. Fiosina Maksims Fiosins Stefan Bonn 14 1 0 26 Sep 2019
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning Yue Wang Tong Wu Yunlong Wang Gao Wang 15 11 0 26 Sep 2019
Interpretable Models for Understanding Immersive Simulations Nicholas Hoernle Yaákov Gal Barbara J. Grosz Leilah Lyons Ada Ren Andee Rubin 11 4 0 24 Sep 2019
Shape and Time Distortion Loss for Training Deep Time Series Forecasting Models Vincent Le Guen Nicolas Thome AI4TS 32 133 0 19 Sep 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer E. Choi Zhen Xu Yujia Li Michael W. Dusenberry Gerardo Flores Yuan Xue Andrew M. Dai MedIm 16 237 0 11 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 16 289 0 29 May 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data Tian Guo Tao R. Lin Nino Antulov-Fantulin AI4TS 26 154 0 28 May 2019
Benchmarking Deep Learning Architectures for Predicting Readmission to the ICU and Describing Patients-at-Risk S. Barbieri James Kemp O. Perez-Concha S. Kotwal M. Gallagher A. Ritchie Louisa R Jorm 22 75 0 21 May 2019
DSTP-RNN: a dual-stage two-phase attention-based recurrent neural networks for long-term and multivariate time series prediction Yeqi Liu Chuanyang Gong Ling Yang Yingyi Chen AI4TS 19 305 0 16 Apr 2019
Deep learning in bioinformatics: introduction, application, and perspective in big data era Yu-Hu Li Chao Huang Lizhong Ding Zhongxiao Li Yijie Pan Xin Gao AI4CE 21 295 0 28 Feb 2019
Explaining Neural Networks Semantically and Quantitatively Runjin Chen Hao Chen Ge Huang J. Ren Quanshi Zhang FAtt 16 54 0 18 Dec 2018
CarePre: An Intelligent Clinical Decision Assistance System Zhuochen Jin Jingshun Yang Shuyuan Cui David Gotz Jimeng Sun Nan Cao 18 31 0 06 Nov 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 25 136 0 10 Oct 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 17 252 0 06 Sep 2018
Multi-variable LSTM neural network for autoregressive exogenous model Tian Guo Tao R. Lin BDL AI4TS 30 19 0 17 Jun 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim E. Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 25 251 0 28 May 2018
Learning the Joint Representation of Heterogeneous Temporal Events for Clinical Endpoint Prediction Luchen Liu Jianhao Shen Ming Zhang Zichang Wang Jian Tang 11 44 0 13 Mar 2018
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 18 74 0 29 Mar 2017
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 30 855 0 22 Mar 2017
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 6 101 0 06 Dec 2016