v1v2v3 (latest)

Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer

11 June 2019

Edward Choi

Zhen Xu

Yujia Li

Michael W. Dusenberry

Papers citing "Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer"

32 / 32 papers shown

Title
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records Jesus Lovon Thouria Ben-Haddi Jules Di Scala José G. Moreno L. Tamine 130 3 0 29 Apr 2025
LabTOP: A Unified Model for Lab Test Outcome Prediction on Electronic Health Records Sujeong Im Jungwoo Oh Edward Choi BDL LM&MA 92 0 0 20 Feb 2025
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis Maria Hügle Gabriel Kalweit T. Huegle Joschka Boedecker BDL 136 20 0 14 Aug 2020
BEHRT: Transformer for Electronic Health Records Yikuan Li Shishir Rao J. R. A. Solares A. Hassaine D. Canoy Yajie Zhu K. Rahimi G. Salimi-Khorshidi OOD 110 464 0 22 Jul 2019
Pre-training of Graph Augmented Transformers for Medication Recommendation Junyuan Shang Tengfei Ma Cao Xiao Jimeng Sun 70 291 0 02 Jun 2019
Inpatient2Vec: Medical Representation Learning for Inpatients Ying Wang Xiao Xu Tao Jin Xiang Li Guotong Xie Jianmin Wang AI4TS 120 21 0 18 Apr 2019
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare Edward Choi Cao Xiao Walter F. Stewart Jimeng Sun 149 236 0 22 Oct 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 1.8K 95,114 0 11 Oct 2018
How Powerful are Graph Neural Networks? Keyulu Xu Weihua Hu J. Leskovec Stefanie Jegelka GNN 243 7,681 0 01 Oct 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 67 263 0 06 Sep 2018
Relational inductive biases, deep learning, and graph networks Peter W. Battaglia Jessica B. Hamrick V. Bapst Alvaro Sanchez-Gonzalez V. Zambaldi ... Pushmeet Kohli M. Botvinick Oriol Vinyals Yujia Li Razvan Pascanu AI4CE NAI 764 3,129 0 04 Jun 2018
Resset: A Recurrent Model for Sequence of Sets with Applications to Electronic Medical Records Phuoc Nguyen T. Tran Svetha Venkatesh BDL 48 21 0 03 Feb 2018
Scalable and accurate deep learning for electronic health records A. Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj ... A. Butte M. Howell Claire Cui Greg S. Corrado Jeffrey Dean OOD BDL 175 2,148 0 24 Jan 2018
Non-local Neural Networks Xinyu Wang Ross B. Girshick Abhinav Gupta Kaiming He OffRL 289 8,916 0 21 Nov 2017
Attend and Diagnose: Clinical Time Series Analysis using Attention Models Huan-Zhi Song Deepta Rajan Jayaraman J. Thiagarajan A. Spanias MLAU 87 454 0 10 Nov 2017
Graph Attention Networks Petar Velickovic Guillem Cucurull Arantxa Casanova Adriana Romero Pietro Lio Yoshua Bengio GNN 479 20,225 0 30 Oct 2017
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks Fenglong Ma Radha Chitta Jing Zhou Quanzeng You Tong Sun Jing Gao 54 556 0 19 Jun 2017
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 728 132,199 0 12 Jun 2017
Inductive Representation Learning on Large Graphs William L. Hamilton Z. Ying J. Leskovec 509 15,300 0 07 Jun 2017
Clinical Intervention Prediction and Understanding using Deep Networks Harini Suresh Nathan Hunt Alistair E. W. Johnson Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OOD 57 133 0 23 May 2017
Deep Sets Manzil Zaheer Satwik Kottur Siamak Ravanbakhsh Barnabás Póczós Ruslan Salakhutdinov Alex Smola 415 2,473 0 10 Mar 2017
GRAM: Graph-based Attention Model for Healthcare Representation Learning Edward Choi M. T. Bahadori Le Song Walter F. Stewart Jimeng Sun GNN 97 677 0 21 Nov 2016
Semi-Supervised Classification with Graph Convolutional Networks Thomas Kipf Max Welling GNN SSL 644 29,076 0 09 Sep 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 121 1,249 0 19 Aug 2016
Layer Normalization Jimmy Lei Ba J. Kiros Geoffrey E. Hinton 413 10,526 0 21 Jul 2016
Multi-layer Representation Learning for Medical Concepts Edward Choi M. T. Bahadori Elizabeth Searles Catherine Coffey Jimeng Sun SSL AI4TS 60 506 0 17 Feb 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 194,322 0 10 Dec 2015
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks Edward Choi M. T. Bahadori A. Schuetz Walter F. Stewart Jimeng Sun 151 1,103 0 18 Nov 2015
Learning to Diagnose with LSTM Recurrent Neural Networks Zachary Chase Lipton David C. Kale Charles Elkan R. Wetzel 90 1,107 0 11 Nov 2015
Trust Region Policy Optimization John Schulman Sergey Levine Philipp Moritz Michael I. Jordan Pieter Abbeel 277 6,793 0 19 Feb 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,260 0 22 Dec 2014
Neural Machine Translation by Jointly Learning to Align and Translate Dzmitry Bahdanau Kyunghyun Cho Yoshua Bengio AIMat 575 27,325 0 01 Sep 2014