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"

50 / 346 papers shown

Title
Learning Perturbations to Explain Time Series Predictions Joseph Enguehard AAML AI4TS 49 13 0 30 May 2023
Interpretation of Time-Series Deep Models: A Survey Ziqi Zhao Yucheng Shi Shushan Wu Fan Yang Wenzhan Song Ninghao Liu AI4TS 34 6 0 23 May 2023
Federated Learning of Medical Concepts Embedding using BEHRT Ofir Ben Shoham Nadav Rappoport FedML OOD 21 12 0 22 May 2023
GraphCare: Enhancing Healthcare Predictions with Personalized Knowledge Graphs Pengcheng Jiang Cao Xiao Adam Cross Jimeng Sun AI4MH 31 20 0 22 May 2023
LATTE: Label-efficient Incident Phenotyping from Longitudinal Electronic Health Records Jun Wen Jue Hou Clara-Lea Bonzel Yihan Zhao Victor Castro ... J. M. Gaziano K. Liao Junwei Lu Kelly Cho Tianxi Cai BDL 21 4 0 19 May 2023
Clinical Note Owns its Hierarchy: Multi-Level Hypergraph Neural Networks for Patient-Level Representation Learning Nayeon Kim Yinhua Piao Sun Kim 16 3 0 16 May 2023
Evaluating the Robustness of Interpretability Methods through Explanation Invariance and Equivariance Jonathan Crabbé M. Schaar AAML 24 6 0 13 Apr 2023
A Review on Explainable Artificial Intelligence for Healthcare: Why, How, and When? M. Rubaiyat Hossain Mondal Prajoy Podder 20 56 0 10 Apr 2023
Toward Cohort Intelligence: A Universal Cohort Representation Learning Framework for Electronic Health Record Analysis Changshuo Liu Wenqiao Zhang Beng Chin Ooi J. Yip Lingze Zeng Kaiping Zheng 8 1 0 10 Apr 2023
Longitudinal Multimodal Transformer Integrating Imaging and Latent Clinical Signatures From Routine EHRs for Pulmonary Nodule Classification Thomas Z. Li J. M. Still Kaiwen Xu Ho Hin Lee L. Cai ... M. Kammer K. Sandler Fabien Maldonado Bennett A. Landman Thomas A. Lasko 20 7 0 06 Apr 2023
Synthesize High-dimensional Longitudinal Electronic Health Records via Hierarchical Autoregressive Language Model B. Theodorou Cao Xiao Jimeng Sun 23 28 0 04 Apr 2023
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer Zhaoyang Chen Lina Siltala-Li Mikko Lassila Pekka Malo Eeva Vilkkumaa T. Saaresranta A. Virkki 16 4 0 28 Jan 2023
From Plate to Prevention: A Dietary Nutrient-aided Platform for Health Promotion in Singapore Kaiping Zheng Thao Nguyen Jesslyn Hwei Sing Chong C. E. Goh Melanie Herschel Hee Hoon Lee Changshuo Liu Beng Chin Ooi Wen Wang J. Yip 11 1 0 10 Jan 2023
MOTOR: A Time-To-Event Foundation Model For Structured Medical Records E. Steinberg Jason Alan Fries Yizhe Xu N. Shah OOD AI4TS 28 13 0 09 Jan 2023
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting Ozan Ozyegen Juyoung Wang Mucahit Cevik BDL AI4TS 6 1 0 05 Jan 2023
Enhancing the prediction of disease outcomes using electronic health records and pretrained deep learning models Zhichao Yang Weisong Liu D. Berlowitz Hongfeng Yu AI4CE 17 0 0 22 Dec 2022
Robust and Explainable Identification of Logical Fallacies in Natural Language Arguments Zhivar Sourati Vishnu Priya Prasanna Venkatesh D. Deshpande Himanshu Rawlani Filip Ilievski Hông-Ân Sandlin Alain Mermoud AAML 31 20 0 12 Dec 2022
Deep representation learning: Fundamentals, Perspectives, Applications, and Open Challenges K. T. Baghaei Amirreza Payandeh Pooya Fayyazsanavi Shahram Rahimi Zhiqian Chen Somayeh Bakhtiari Ramezani FaML AI4TS 32 6 0 27 Nov 2022
SEAT: Stable and Explainable Attention Lijie Hu Yixin Liu Ninghao Liu Mengdi Huai Lichao Sun Di Wang OOD 24 18 0 23 Nov 2022
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data Elise Dumas A. Hamy S. Houzard Eva Hernandez A. Toussaint ... M. Saint-Ghislain B. Grandal Eric Daoud F. Reyal Chloé-Agathe Azencott OOD 13 2 0 15 Nov 2022
Evaluating the Faithfulness of Saliency-based Explanations for Deep Learning Models for Temporal Colour Constancy Matteo Rizzo Cristina Conati Daesik Jang Hui Hu FAtt 13 2 0 15 Nov 2022
HGV4Risk: Hierarchical Global View-guided Sequence Representation Learning for Risk Prediction Youru Li Zhenfeng Zhu Xiaobo Guo Shaoshuai Li Yuchen Yang Yao Zhao AI4TS 12 5 0 15 Nov 2022
Semantic Decomposition Improves Learning of Large Language Models on EHR Data David A. Bloore R. Gauriau Anna Decker Jacob Oppenheim 21 1 0 14 Nov 2022
Universal EHR Federated Learning Framework Junu Kim Kyunghoon Hur Seongjun Yang E. Choi FedML 8 2 0 14 Nov 2022
WindowSHAP: An Efficient Framework for Explaining Time-series Classifiers based on Shapley Values Amin Nayebi Sindhu Tipirneni Chandan K. Reddy Brandon Foreman V. Subbian FAtt AI4TS 14 18 0 11 Nov 2022
Revisiting Attention Weights as Explanations from an Information Theoretic Perspective Bingyang Wen K. P. Subbalakshmi Fan Yang FAtt 13 6 0 31 Oct 2022
No Pairs Left Behind: Improving Metric Learning with Regularized Triplet Objective A. Heydari N. Rezaei Daniel J. McDuff Javier L. Prieto 19 0 0 18 Oct 2022
Knowledge-Driven New Drug Recommendation Zhenbang Wu Huaxiu Yao Zhe Su David M. Liebovitz Lucas Glass James Y. Zou Chelsea Finn Jimeng Sun 18 4 0 11 Oct 2022
PromptEHR: Conditional Electronic Healthcare Records Generation with Prompt Learning Zifeng Wang Jimeng Sun 19 29 0 11 Oct 2022
CLEAR: Causal Explanations from Attention in Neural Recommenders Shami Nisimov R. Y. Rohekar Yaniv Gurwicz G. Koren Gal Novik CML 18 6 0 07 Oct 2022
Concept Activation Regions: A Generalized Framework For Concept-Based Explanations Jonathan Crabbé M. Schaar 56 46 0 22 Sep 2022
A Comprehensive Benchmark for COVID-19 Predictive Modeling Using Electronic Health Records in Intensive Care Junyi Gao Yinghao Zhu Wenqing Wang Yasha Wang Wen Tang Ewen M. Harrison Liantao Ma OOD 35 15 0 16 Sep 2022
Explainable AI for clinical and remote health applications: a survey on tabular and time series data Flavio Di Martino Franca Delmastro AI4TS 26 91 0 14 Sep 2022
Deep Stable Representation Learning on Electronic Health Records Yingtao Luo Zhaocheng Liu Qiang Liu OOD BDL CML 39 3 0 03 Sep 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 20 1 0 01 Sep 2022
An Empirical Comparison of Explainable Artificial Intelligence Methods for Clinical Data: A Case Study on Traumatic Brain Injury Amin Nayebi Sindhu Tipirneni Brandon Foreman Chandan K. Reddy V. Subbian 31 3 0 13 Aug 2022
EgPDE-Net: Building Continuous Neural Networks for Time Series Prediction with Exogenous Variables Penglei Gao Xi Yang Rui Zhang Ping Guo John Y. Goulermas Kaizhu Huang AI4TS 21 5 0 03 Aug 2022
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction Yuxi Liu Zhenhao Zhang Antonio Jimeno Yepes Flora D. Salim 18 10 0 13 Jul 2022
ICE-NODE: Integration of Clinical Embeddings with Neural Ordinary Differential Equations Asem Alaa Erik Mayer Mauricio Barahona AI4CE 22 3 0 05 Jul 2022
Fooling Explanations in Text Classifiers Adam Ivankay Ivan Girardi Chiara Marchiori P. Frossard AAML 22 20 0 07 Jun 2022
Modeling electronic health record data using a knowledge-graph-embedded topic model Yuesong Zou Ahmad Pesaranghader Aman Verma David L. Buckeridge Yue Li 12 1 0 03 Jun 2022
Why Did This Model Forecast This Future? Closed-Form Temporal Saliency Towards Causal Explanations of Probabilistic Forecasts Chirag Raman Hayley Hung Marco Loog 16 3 0 01 Jun 2022
DeepJoint: Robust Survival Modelling Under Clinical Presence Shift Vincent Jeanselme G. Martin Niels Peek M. Sperrin Brian D. M. Tom Jessica Barrett OOD 26 4 0 26 May 2022
TSEM: Temporally Weighted Spatiotemporal Explainable Neural Network for Multivariate Time Series Anh-Duy Pham Anastassia Kuestenmacher P. Ploeger AI4TS 16 4 0 25 May 2022
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction Sicen Liu Xiaolong Wang Yang Xiang Huiqin Xu Hui Wang Buzhou Tang AI4TS 12 10 0 29 Apr 2022
KnowAugNet: Multi-Source Medical Knowledge Augmented Medication Prediction Network with Multi-Level Graph Contrastive Learning Yang An Bo Jin Xiaopeng Wei 8 2 0 25 Apr 2022
MedFACT: Modeling Medical Feature Correlations in Patient Health Representation Learning via Feature Clustering Xinyu Ma Xu Chu Yasha Wang Hailong Yu Liantao Ma Wen Tang Junfeng Zhao CML 25 1 0 21 Apr 2022
Learning to Adapt Clinical Sequences with Residual Mixture of Experts Jeong Min Lee Milos Hauskrecht AI4TS 14 0 0 06 Apr 2022
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis Daniel Organisciak Hubert P. H. Shum E. Nwoye Wai Lok Woo OOD 21 19 0 31 Mar 2022
Diverse Counterfactual Explanations for Anomaly Detection in Time Series Deborah Sulem Michele Donini Muhammad Bilal Zafar François-Xavier Aubet Jan Gasthaus Tim Januschowski Sanjiv Ranjan Das K. Kenthapadi Cédric Archambeau AAML 25 10 0 21 Mar 2022