UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data

22 October 2020

Jimeng Sun

Papers citing "UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data"

29 / 29 papers shown

Title
Deep Bayesian Gaussian Processes for Uncertainty Estimation in Electronic Health Records Yikuan Li Shishir Rao A. Hassaine R. Ramakrishnan Yajie Zhu D. Canoy G. Salimi-Khorshidi Thomas Lukasiewicz K. Rahimi BDL UQCV 46 36 0 23 Mar 2020
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 51 155 0 27 Nov 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 65 245 0 11 Jun 2019
Analyzing the Role of Model Uncertainty for Electronic Health Records Michael W. Dusenberry Dustin Tran Edward Choi Jonas Kemp Jeremy Nixon Ghassen Jerfel Katherine A. Heller Andrew M. Dai 51 118 0 10 Jun 2019
Bayesian Layers: A Module for Neural Network Uncertainty Dustin Tran Michael W. Dusenberry Mark van der Wilk Danijar Hafner UQCV BDL 99 123 0 10 Dec 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare Edward Choi Cao Xiao Walter F. Stewart Jimeng Sun 147 236 0 22 Oct 2018
When Gaussian Process Meets Big Data: A Review of Scalable GPs Haitao Liu Yew-Soon Ong Xiaobo Shen Jianfei Cai GP 83 690 0 03 Jul 2018
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare Ingyo Chung Saehoon Kim Juho Lee Kwang Joon Kim Sung Ju Hwang Eunho Yang BDL FedML 56 16 0 05 Jun 2018
Personalized Gaussian Processes for Future Prediction of Alzheimer's Disease Progression Kelly S. Peterson Ognjen Rudovic Ricardo Guerrero Rosalind W. Picard 41 25 0 01 Dec 2017
Advances in Variational Inference Cheng Zhang Judith Butepage Hedvig Kjellström Stephan Mandt BDL 173 690 0 15 Nov 2017
Attend and Diagnose: Clinical Time Series Analysis using Attention Models Huan-Zhi Song Deepta Rajan Jayaraman J. Thiagarajan A. Spanias MLAU 83 453 0 10 Nov 2017
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection Joseph D. Futoma S. Hariharan M. Sendak Nathan Brajer M. Clement A. Bedoya Cara O'Brien Katherine A. Heller 56 127 0 19 Aug 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 54 555 0 19 Jun 2017
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier Joseph D. Futoma S. Hariharan Katherine A. Heller 58 173 0 13 Jun 2017
Doubly Stochastic Variational Inference for Deep Gaussian Processes Hugh Salimbeni M. Deisenroth BDL GP 83 420 0 24 May 2017
Simple and Scalable Predictive Uncertainty Estimation using Deep Ensembles Balaji Lakshminarayanan Alexander Pritzel Charles Blundell UQCV BDL 788 5,806 0 05 Dec 2016
GRAM: Graph-based Attention Model for Healthcare Representation Learning Edward Choi M. T. Bahadori Le Song Walter F. Stewart Jimeng Sun GNN 94 675 0 21 Nov 2016
Stochastic Variational Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 104 267 0 01 Nov 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 109 1,245 0 19 Aug 2016
Doctor AI: Predicting Clinical Events via Recurrent Neural Networks Edward Choi M. T. Bahadori A. Schuetz Walter F. Stewart Jimeng Sun 141 1,100 0 18 Nov 2015
Learning to Diagnose with LSTM Recurrent Neural Networks Zachary Chase Lipton David C. Kale Charles Elkan R. Wetzel 81 1,106 0 11 Nov 2015
Deep Kernel Learning A. Wilson Zhiting Hu Ruslan Salakhutdinov Eric Xing BDL 238 885 0 06 Nov 2015
Thoughts on Massively Scalable Gaussian Processes A. Wilson Christoph Dann H. Nickisch 80 110 0 05 Nov 2015
Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning Y. Gal Zoubin Ghahramani UQCV BDL 769 9,302 0 06 Jun 2015
Kernel Interpolation for Scalable Structured Gaussian Processes (KISS-GP) A. Wilson H. Nickisch GP 61 513 0 03 Mar 2015
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.7K 150,006 0 22 Dec 2014
Manifold Gaussian Processes for Regression Roberto Calandra Jan Peters C. Rasmussen M. Deisenroth 165 273 0 24 Feb 2014
Deep Gaussian Processes Andreas C. Damianou Neil D. Lawrence GP BDL 122 1,181 0 02 Nov 2012
Gaussian Process Regression Networks A. Wilson David A. Knowles Zoubin Ghahramani GP BDL 127 192 0 19 Oct 2011