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Doctor AI: Predicting Clinical Events via Recurrent Neural Networks

18 November 2015

Jimeng Sun

Papers citing "Doctor AI: Predicting Clinical Events via Recurrent Neural Networks"

50 / 308 papers shown

Title
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning Batuhan Bardak Mehmet Tan 72 37 0 24 Nov 2020
Time Series Data Imputation: A Survey on Deep Learning Approaches Chenguang Fang Chen Wang SyDa AI4TS AI4CE 59 52 0 23 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 37 1 0 11 Nov 2020
FairLens: Auditing Black-box Clinical Decision Support Systems Cecilia Panigutti Alan Perotti Andre' Panisson P. Bajardi D. Pedreschi 88 70 0 08 Nov 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 73 9 0 27 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 115 59 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 71 26 0 22 Oct 2020
Neural Ordinary Differential Equations for Intervention Modeling Daehoon Gwak Gyuhyeon Sim Michael Poli Stefano Massaroli Jaegul Choo Edward Choi 57 20 0 16 Oct 2020
Deep Representation Learning of Patient Data from Electronic Health Records (EHR): A Systematic Review Yuqi Si Jingcheng Du Zhao Li Xiaoqian Jiang T. Miller Fei Wang W. J. Zheng Kirk Roberts OOD 103 165 0 06 Oct 2020
Bidirectional Representation Learning from Transformers using Multimodal Electronic Health Record Data to Predict Depression Yiwen Meng W. Speier Michael K. Ong C. Arnold 23 0 0 26 Sep 2020
Online Disease Self-diagnosis with Inductive Heterogeneous Graph Convolutional Networks Zifeng Wang Rui Wen Xi Chen Shilei Cao Shao-Lun Huang B. Qian Yefeng Zheng 70 31 0 06 Sep 2020
A Simple and Interpretable Predictive Model for Healthcare S. Maji Raghav Bali S. Ankem Kishore V Ayyadevara 26 1 0 27 Jul 2020
Clinical Recommender System: Predicting Medical Specialty Diagnostic Choices with Neural Network Ensembles M. Noshad I. Janković Jonathan Chen 16 3 0 23 Jul 2020
Temporal Pointwise Convolutional Networks for Length of Stay Prediction in the Intensive Care Unit Emma Rocheteau Pietro Lio Stephanie L. Hyland OOD 51 60 0 18 Jul 2020
CovidCare: Transferring Knowledge from Existing EMR to Emerging Epidemic for Interpretable Prognosis Liantao Ma Xinyu Ma Junyi Gao Chaohe Zhang Zhihao Yu Xianfeng Jiao Wenjie Ruan Yasha Wang Wen Tang Jiangtao Wang OOD 38 5 0 17 Jul 2020
Deep Contextual Clinical Prediction with Reverse Distillation Rohan Kodialam Rebecca Boiarsky Justin Lim Neil Dixit Aditya Sai David Sontag 60 25 0 10 Jul 2020
Learning Individualized Treatment Rules with Estimated Translated Inverse Propensity Score Zhiliang Wu Yinchong Yang Yunpu Ma Yushan Liu Rui Zhao Michael Moor Volker Tresp 41 1 0 02 Jul 2020
Predicting Length of Stay in the Intensive Care Unit with Temporal Pointwise Convolutional Networks Emma Rocheteau Pietro Lio Stephanie L. Hyland 28 3 0 29 Jun 2020
Using Deep Learning and Explainable Artificial Intelligence in Patients' Choices of Hospital Levels Lichin Chen Yu Tsao J. Sheu OOD 15 5 0 24 Jun 2020
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks Ayush Khaneja Siddharth Srivastava Astha Rai A. Cheema P. K. Srivastava 22 4 0 17 Jun 2020
The Threats of Artificial Intelligence Scale (TAI). Development, Measurement and Test Over Three Application Domains Kimon Kieslich Marco Lünich Frank Marcinkowski 40 55 0 12 Jun 2020
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms Giorgio Visani Enrico Bagli F. Chesani FAtt 78 60 0 10 Jun 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction L. Rasmy Yang Xiang Z. Xie Cui Tao Degui Zhi AI4MH LM&MA 116 704 0 22 May 2020
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility Jeffrey Palmerino Qi Yu Travis J. Desell Daniel E. Krutz 23 12 0 23 Apr 2020
Forecasting in multivariate irregularly sampled time series with missing values Shivam Srivastava Prithviraj Sen B. Reinwald AI4TS 51 3 0 06 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 94 274 0 31 Mar 2020
TRACER: A Framework for Facilitating Accurate and Interpretable Analytics for High Stakes Applications Kaiping Zheng Shaofeng Cai H. Chua Wei Wang K. Ngiam Beng Chin Ooi AI4TS 65 26 0 24 Mar 2020
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 76 36 0 23 Mar 2020
Deep Representation Learning of Electronic Health Records to Unlock Patient Stratification at Scale Isotta Landi B. Glicksberg Hao-Chih Lee S. Cherng Giulia Landi M. Danieletto J. Dudley Cesare Furlanello Riccardo Miotto 92 157 0 14 Mar 2020
Secondary Use of Electronic Health Record: Opportunities and Challenges S. M. Shah Rizwan Ahmed Khan 60 79 0 26 Jan 2020
Artificial Intelligence for Social Good: A Survey Zheyuan Ryan Shi Claire Wang Fei Fang AI4TS 108 81 0 07 Jan 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 Pfohl N. Shah 94 112 0 06 Jan 2020
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data Patrick Schwab W. Karlen 68 26 0 02 Jan 2020
A Bayesian Approach to Modelling Longitudinal Data in Electronic Health Records Alexis Bellot M. Schaar 27 1 0 19 Dec 2019
Variationally Regularized Graph-based Representation Learning for Electronic Health Records Weicheng Zhu N. Razavian BDL CML 24 11 0 08 Dec 2019
$$\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records$ $\mathtt{MedGraph:}$ Structural and Temporal Representation Learning of Electronic Medical Records B. Hettige Yuan-Fang Li Weiqing Wang Suong Le Wray Buntine 126 18 0 08 Dec 2019
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements Mehak Gupta T. Phan Timothy Bunnell Rahmatollah Beheshti 108 70 0 05 Dec 2019
Deep Physiological State Space Model for Clinical Forecasting Yuan Xue Denny Zhou Nan Du Andrew M. Dai Zhen Xu Kun Zhang Claire Cui 35 2 0 04 Dec 2019
Time-Guided High-Order Attention Model of Longitudinal Heterogeneous Healthcare Data Yi Huang Xiaoshan Yang Changsheng Xu AI4TS 113 3 0 28 Nov 2019
Hybrid Text Feature Modeling for Disease Group Prediction using Unstructured Physician Notes G. Krishnan Sowmya S Kamath 25 3 0 26 Nov 2019
Bayesian Recurrent Framework for Missing Data Imputation and Prediction with Clinical Time Series Yang Guo Zhengyuan Liu Pavitra Krishnaswamy Savitha Ramasamy BDL AI4TS AI4CE 32 5 0 18 Nov 2019
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks Deyin Liu Lin Wu Xue Li 69 17 0 14 Nov 2019
ZiMM: a deep learning model for long term and blurry relapses with non-clinical claims data A. Kabeshova Yiyang Yu Bertrand Lukacs Emmanuel Bacry Stéphane Gaïffas VLM MedIm 24 2 0 13 Nov 2019
Stylized Text Generation Using Wasserstein Autoencoders with a Mixture of Gaussian Prior Amirpasha Ghabussi Lili Mou Olga Vechtomova 120 2 0 10 Nov 2019
On Generalization Bounds of a Family of Recurrent Neural Networks Minshuo Chen Xingguo Li T. Zhao 81 71 0 28 Oct 2019
Federated Uncertainty-Aware Learning for Distributed Hospital EHR Data Sabri Boughorbel Fethi Jarray Neethu Venugopal S. Moosa Haithum Elhadi Michel Makhlouf OOD FedML 131 53 0 27 Oct 2019
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare Shaika Chowdhury Chenwei Zhang Philip S. Yu Yuan Luo 44 13 0 14 Oct 2019
Enhancing Model Interpretability and Accuracy for Disease Progression Prediction via Phenotype-Based Patient Similarity Learning Yue Wang Tong Wu Yunlong Wang Gao Wang 39 11 0 26 Sep 2019
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 81 19 0 19 Sep 2019
Distributed representation of patients and its use for medical cost prediction Xianlong Zeng Soheil Moosavinasab Enju Lin Simon M. Lin Razvan Bunescu Chang Liu OOD 18 2 0 13 Sep 2019