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"

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Title
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare Chang Lu Chandan K. Reddy Prithwish Chakraborty Samantha Kleinberg Yue Ning 21 56 0 16 May 2021
Improving the Faithfulness of Attention-based Explanations with Task-specific Information for Text Classification G. Chrysostomou Nikolaos Aletras 16 37 0 06 May 2021
Attack-agnostic Adversarial Detection on Medical Data Using Explainable Machine Learning Matthew Watson Noura Al Moubayed AAML MedIm 10 20 0 05 May 2021
Change Matters: Medication Change Prediction with Recurrent Residual Networks Chaoqi Yang Cao Xiao Lucas Glass Jimeng Sun BDL 21 67 0 05 May 2021
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations Chaoqi Yang Cao Xiao Fenglong Ma Lucas Glass Jimeng Sun 19 77 0 05 May 2021
Survey on Modeling Intensity Function of Hawkes Process Using Neural Models Jayesh Malaviya AI4TS 8 2 0 22 Apr 2021
MeSIN: Multilevel Selective and Interactive Network for Medication Recommendation Yang An Liang Zhang Mao You Xueqing Tian Bo Jin Xiaopeng Wei 6 18 0 22 Apr 2021
Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge Prithwish Chakraborty James Codella Piyush Madan Ying Li Hu Huang ... J. Wanderer Gigi Yuen Reed Kenney Ng Daby M. Sow B. Malin BDL 17 3 0 09 Apr 2021
Neural Clinical Event Sequence Prediction through Personalized Online Adaptive Learning Jeong Min Lee Milos Hauskrecht 16 3 0 05 Apr 2021
Deep EHR Spotlight: a Framework and Mechanism to Highlight Events in Electronic Health Records for Explainable Predictions Thanh Nguyen-Duc N. Mulligan G. Mannu Joao H. Bettencourt-Silva BDL 14 6 0 25 Mar 2021
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 13 4 0 16 Mar 2021
Dynamic Gaussian Mixture based Deep Generative Model For Robust Forecasting on Sparse Multivariate Time Series Yinjun Wu Jingchao Ni Wei Cheng Bo Zong Dongjin Song Zhengzhang Chen Yanchi Liu Xuchao Zhang Haifeng Chen S. Davidson AI4TS 18 49 0 03 Mar 2021
Lifelong Learning based Disease Diagnosis on Clinical Notes Zifeng Wang Yifan Yang Rui Wen Xi Chen Shao-Lun Huang Yefeng Zheng CLL 13 5 0 27 Feb 2021
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data Yuqi Si E. Bernstam Kirk Roberts 21 8 0 24 Feb 2021
Feature Importance Explanations for Temporal Black-Box Models Akshay Sood M. Craven FAtt OOD 17 15 0 23 Feb 2021
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 9 0 0 17 Feb 2021
EventScore: An Automated Real-time Early Warning Score for Clinical Events Ibrahim Hammoud Prateek Prasanna I. Ramakrishnan A. Singer M. Henry H. Thode 15 1 0 11 Feb 2021
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units Yilmazcan Ozyurt Mathias Kraus Tobias Hatt Stefan Feuerriegel 19 34 0 09 Feb 2021
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction B. Hettige Weiqing Wang Yuan-Fang Li Suong Le Wray L. Buntine CML 17 0 0 04 Feb 2021
Unbox the Black-box for the Medical Explainable AI via Multi-modal and Multi-centre Data Fusion: A Mini-Review, Two Showcases and Beyond Guang Yang Qinghao Ye Jun Xia 92 480 0 03 Feb 2021
An explainable Transformer-based deep learning model for the prediction of incident heart failure Shishir Rao Yikuan Li R. Ramakrishnan A. Hassaine D. Canoy J. Cleland Thomas Lukasiewicz G. Salimi-Khorshidi K. Rahimi MedIm 16 69 0 27 Jan 2021
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards S. Lauritsen B. Thiesson Marianne Johansson Jørgensen A. Riis U. Espelund J. Weile Jeppe Lange 47 3 0 26 Jan 2021
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series Yurim Lee E. Jun Heung-Il Suk AI4TS 19 0 0 25 Jan 2021
Image Denoising using Attention-Residual Convolutional Neural Networks R. G. Pires D. F. S. Santos M. C. S. Santana C. F. G. Santos João Paulo Papa 13 7 0 19 Jan 2021
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 11 3 0 18 Jan 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu 19 64 0 17 Jan 2021
PyHealth: A Python Library for Health Predictive Models Yue Zhao Zhi Qiao Cao Xiao Lucas Glass Jimeng Sun LM&MA VLM OOD AI4TS AI4MH 23 22 0 11 Jan 2021
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-Yue Wang Ying Ding Benjamin S. Glicksberg 13 0 0 11 Jan 2021
AIST: An Interpretable Attention-based Deep Learning Model for Crime Prediction Yeasir Rayhan T. Hashem 15 22 0 16 Dec 2020
MEME: Generating RNN Model Explanations via Model Extraction Dmitry Kazhdan B. Dimanov M. Jamnik Pietro Lió LRM 13 13 0 13 Dec 2020
An autoencoder wavelet based deep neural network with attention mechanism for multistep prediction of plant growth Bashar Alhnaity Stefanos D. Kollias Georgios Leontidis Shouyong Jiang B. Schamp Simon Pearson 15 42 0 07 Dec 2020
A Survey on Deep Learning for Human Mobility Massimiliano Luca Gianni Barlacchi Bruno Lepri Luca Pappalardo HAI 10 207 0 04 Dec 2020
Concept-based model explanations for Electronic Health Records Diana Mincu Eric Loreaux Shaobo Hou Sebastien Baur Ivan V. Protsyuk Martin G. Seneviratne A. Mottram Nenad Tomašev Alan Karthikesanlingam Jessica Schrouff 9 27 0 03 Dec 2020
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding Yu Wang Ziqiao Guan W. Hou Fusheng Wang MedIm 30 3 0 03 Dec 2020
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 8 43 0 30 Nov 2020
TimeSHAP: Explaining Recurrent Models through Sequence Perturbations João Bento Pedro Saleiro André F. Cruz Mário A. T. Figueiredo P. Bizarro FAtt AI4TS 14 88 0 30 Nov 2020
Explainable Tensorized Neural Ordinary Differential Equations forArbitrary-step Time Series Prediction Penglei Gao Xi Yang Rui Zhang Kaizhu Huang AI4TS 6 15 0 26 Nov 2020
DeepTriage: Automated Transfer Assistance for Incidents in Cloud Services P. Pham Vivek Jain Lukas Dauterman Justin Ormont Navendu Jain 18 10 0 25 Nov 2020
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning Batuhan Bardak Mehmet Tan 15 35 0 24 Nov 2020
Explainable Multivariate Time Series Classification: A Deep Neural Network Which Learns To Attend To Important Variables As Well As Informative Time Intervals Tsung-Yu Hsieh Suhang Wang Yiwei Sun Vasant Honavar BDL AI4TS FAtt 16 9 0 23 Nov 2020
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data Zina M. Ibrahim D. Bean Thomas Searle Honghan Wu Anthony Shek Z. Kraljevic J. Galloway S. Norton J. Teo Richard J. B. Dobson 6 17 0 18 Nov 2020
Incorporating Causal Effects into Deep Learning Predictions on EHR Data Jia Li Haoyu Yang X. Jia Vipin Kumar M. Steinbach György J. Simon BDL CML 20 1 0 11 Nov 2020
Estimating Risk-Adjusted Hospital Performance E. van Weenen Stefan Feuerriegel CML 8 3 0 10 Nov 2020
HypperSteer: Hypothetical Steering and Data Perturbation in Sequence Prediction with Deep Learning Chuan-Chi Wang K. Ma OOD LLMSV 19 3 0 04 Nov 2020
Multiple Sclerosis Severity Classification From Clinical Text Alister D Costa Stefan Denkovski Michal Malyska S. Moon Brandon Rufino Zhen Yang Taylor W. Killian Marzyeh Ghassemi 24 12 0 29 Oct 2020
Enforcing Interpretability and its Statistical Impacts: Trade-offs between Accuracy and Interpretability Gintare Karolina Dziugaite Shai Ben-David Daniel M. Roy FaML 12 38 0 26 Oct 2020
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data Chenxi Sun linda Qiao Moxian Song Hongyan Li AI4TS OOD 22 56 0 23 Oct 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Chacha Chen Junjie Liang Fenglong Ma Lucas Glass Jimeng Sun Cao Xiao 10 25 0 22 Oct 2020
Bayesian Attention Modules Xinjie Fan Shujian Zhang Bo Chen Mingyuan Zhou 111 59 0 20 Oct 2020
Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs Zhoujian Sun W. Dong Jinlong Shi Zhengxing Huang 12 6 0 16 Oct 2020