GRAM: Graph-based Attention Model for Healthcare Representation Learning

21 November 2016

Jimeng Sun

Papers citing "GRAM: Graph-based Attention Model for Healthcare Representation Learning"

28 / 78 papers shown

Title
DGTN: Dual-channel Graph Transition Network for Session-based Recommendation Yujia Zheng Siyi Liu Zekun Li Shu Wu 23 37 0 21 Sep 2020
Self-supervised edge features for improved Graph Neural Network training Arijit Sehanobish N. Ravindra David van Dijk SSL 18 6 0 23 Jun 2020
COMPOSE: Cross-Modal Pseudo-Siamese Network for Patient Trial Matching Junyi Gao Cao Xiao Lucas Glass Jimeng Sun 20 64 0 15 Jun 2020
Multiple Attentional Pyramid Networks for Chinese Herbal Recognition Yingxue Xu Guihua Wen Yang Hu Mingnan Luo Dan Dai Y. Zhuang Wendy Hall 19 34 0 13 May 2020
Geometric graphs from data to aid classification tasks with graph convolutional networks Yifan Qian P. Expert P. Panzarasa Mauricio Barahona GNN 25 9 0 08 May 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 27 17 0 27 Apr 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 26 103 0 06 Jan 2020
Graph Neural Ordinary Differential Equations Michael Poli Stefano Massaroli Junyoung Park Atsushi Yamashita Hajime Asama Jinkyoo Park AI4CE 51 154 0 18 Nov 2019
HealthFog: An Ensemble Deep Learning based Smart Healthcare System for Automatic Diagnosis of Heart Diseases in Integrated IoT and Fog Computing Environments Shreshth Tuli Nipam Basumatary S. Gill M. Kahani R. Arya G. Wander Rajkumar Buyya 40 476 0 15 Nov 2019
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 33 19 0 19 Sep 2019
Feature Robustness in Non-stationary Health Records: Caveats to Deployable Model Performance in Common Clinical Machine Learning Tasks Bret A. Nestor Matthew B. A. McDermott Willie Boag G. Berner Tristan Naumann Michael C. Hughes Anna Goldenberg Marzyeh Ghassemi OOD 25 109 0 02 Aug 2019
Snomed2Vec: Random Walk and Poincaré Embeddings of a Clinical Knowledge Base for Healthcare Analytics Khushbu Agarwal T. Eftimov Raghavendra Addanki Sutanay Choudhury S. Tamang R. Rallo 20 22 0 19 Jul 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer Edward Choi Zhen Xu Yujia Li Michael W. Dusenberry Gerardo Flores Yuan Xue Andrew M. Dai MedIm 21 238 0 11 Jun 2019
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions Gal Levy-Fix G. Kuperman Noémie Elhadad 21 12 0 06 Jun 2019
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models E. Steinberg Peter J. Liu NoLa 21 4 0 28 May 2019
Unsupervised Machine Learning for the Discovery of Latent Disease Clusters and Patient Subgroups Using Electronic Health Records Yanshan Wang Yiqing Zhao T. Therneau E. Atkinson A. Tafti Yi Yu S. Amin A. Limper Hongfang Liu OOD 30 86 0 17 May 2019
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care H. Overweg Anna-Lena Popkes A. Ercole Yingzhen Li José Miguel Hernández-Lobato Yordan Zaykov Cheng Zhang 33 24 0 07 May 2019
ImageGCN: Multi-Relational Image Graph Convolutional Networks for Disease Identification with Chest X-rays Chengsheng Mao Liang Yao Yuan Luo MedIm GNN 39 56 0 31 Mar 2019
Informed Machine Learning -- A Taxonomy and Survey of Integrating Knowledge into Learning Systems Laura von Rueden S. Mayer Katharina Beckh B. Georgiev Sven Giesselbach ... Rajkumar Ramamurthy Michal Walczak Jochen Garcke Christian Bauckhage Jannis Schuecker 39 626 0 29 Mar 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing Katikapalli Subramanyam Kalyan S. Sangeetha 17 82 0 04 Mar 2019
ISeeU: Visually interpretable deep learning for mortality prediction inside the ICU William Caicedo-Torres Jairo Gutiérrez 11 78 0 24 Jan 2019
A Comprehensive Survey on Graph Neural Networks Zonghan Wu Shirui Pan Fengwen Chen Guodong Long Chengqi Zhang Philip S. Yu FaML GNN AI4TS AI4CE 163 8,362 0 03 Jan 2019
Deep EHR: Chronic Disease Prediction Using Medical Notes Jingshu Liu Zachariah Zhang N. Razavian 29 105 0 15 Aug 2018
Medical Concept Embedding with Time-Aware Attention Xiangrui Cai Jinyang Gao K. Ngiam Beng Chin Ooi Ying Zhang Xiaojie Yuan 29 64 0 06 Jun 2018
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 30 251 0 28 May 2018
HeteroMed: Heterogeneous Information Network for Medical Diagnosis Anahita Hosseini Ting-Li Chen Wenjun Wu Yizhou Sun Majid Sarrafzadeh 19 50 0 22 Apr 2018
EMR-based medical knowledge representation and inference via Markov random fields and distributed representation learning Chao Zhao Jingchi Jiang Y. Guan 18 39 0 20 Sep 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016