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 / 307 papers shown

Title
Improved Hierarchical Patient Classification with Language Model Pretraining over Clinical Notes Jonas Kemp A. Rajkomar Andrew M. Dai 32 10 0 06 Sep 2019
DeepHealth: Review and challenges of artificial intelligence in health informatics Gloria Hyunjung Kwak Pan Hui SyDa 33 26 0 01 Sep 2019
Representation Learning with Autoencoders for Electronic Health Records: A Comparative Study Najibesadat Sadati Milad Zafar Nezhad R. Chinnam D. Zhu BDL OOD 24 16 0 24 Aug 2019
Training Optimus Prime, M.D.: Generating Medical Certification Items by Fine-Tuning OpenAI's gpt2 Transformer Model M. Davier MedIm LM&MA 22 10 0 23 Aug 2019
Optimizing for Interpretability in Deep Neural Networks with Tree Regularization Mike Wu S. Parbhoo M. C. Hughes Volker Roth Finale Doshi-Velez AI4CE 22 27 0 14 Aug 2019
Mixture-based Multiple Imputation Model for Clinical Data with a Temporal Dimension Ye Xue Diego Klabjan Yuan Luo AI4TS 29 10 0 12 Aug 2019
Interpretable and Steerable Sequence Learning via Prototypes Yao Ming Panpan Xu Huamin Qu Liu Ren AI4TS 12 138 0 23 Jul 2019
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 45 446 0 22 Jul 2019
Time2Vec: Learning a Vector Representation of Time Seyed Mehran Kazemi Rishab Goel Sepehr Eghbali J. Ramanan Jaspreet Sahota Sanjay Thakur Stella Wu Cathal Smyth Pascal Poupart Marcus A. Brubaker AI4TS 28 330 0 11 Jul 2019
Explaining an increase in predicted risk for clinical alerts Michaela Hardt A. Rajkomar Gerardo Flores Andrew M. Dai M. Howell Greg S. Corrado Claire Cui Moritz Hardt FAtt 17 12 0 10 Jul 2019
Predicting Treatment Initiation from Clinical Time Series Data via Graph-Augmented Time-Sensitive Model Fan Zhang Tong Wu Yunlong Wang Yong Cai Cao Xiao E. Zhao Lucas Glass Jimeng Sun 6 4 0 01 Jul 2019
Rare Disease Detection by Sequence Modeling with Generative Adversarial Networks Kezi Yu Yunlong Wang Yong Cai Cao Xiao E. Zhao Lucas Glass Jimeng Sun 24 14 0 01 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 24 238 0 11 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 45 290 0 29 May 2019
Using Ontologies To Improve Performance In Massively Multi-label Prediction Models E. Steinberg Peter J. Liu NoLa 29 4 0 28 May 2019
Representation Learning for Dynamic Graphs: A Survey Seyed Mehran Kazemi Rishab Goel Kshitij Jain I. Kobyzev Akshay Sethi Peter Forsyth Pascal Poupart AI4TS AI4CE GNN 29 447 0 27 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
Towards Automatic Generation of Shareable Synthetic Clinical Notes Using Neural Language Models Oren Melamud Chaitanya P. Shivade SyDa MedIm 21 35 0 16 May 2019
Temporal-Clustering Invariance in Irregular Healthcare Time Series M. T. Bahadori Zachary Chase Lipton AI4TS 22 29 0 27 Apr 2019
Machine Learning Tips and Tricks for Power Line Communications Andrea M. Tonello N. A. Letizia Davide Righini Francesco Marcuzzi 16 30 0 24 Apr 2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks Priyanka Gupta Pankaj Malhotra Jyoti Narwariya L. Vig Gautam M. Shroff AI4TS 27 61 0 01 Apr 2019
MedGCN: Medication recommendation and lab test imputation via graph convolutional networks Chengsheng Mao Liang Yao Yuan Luo GNN 31 48 0 31 Mar 2019
Improving Skin Condition Classification with a Visual Symptom Checker Trained using Reinforcement Learning Mohamed Akrout Amir-massoud Farahmand Tory Jarmain Latif Abid 11 15 0 08 Mar 2019
SECNLP: A Survey of Embeddings in Clinical Natural Language Processing Katikapalli Subramanyam Kalyan S. Sangeetha 17 81 0 04 Mar 2019
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care Ziyuan Pan Hao Du K. Ngiam Fei Wang Ping Shum Mengling Feng 25 12 0 14 Jan 2019
Generalization Studies of Neural Network Models for Cardiac Disease Detection Using Limited Channel ECG Deepta Rajan David Beymer Girish Narayan 14 9 0 05 Jan 2019
Multivariate Arrival Times with Recurrent Neural Networks for Personalized Demand Forecasting Tianle Chen Brian Keng Javier Moreno BDL AI4TS 9 10 0 29 Dec 2018
Mixed Membership Recurrent Neural Networks G. Fazelnia Mark Ibrahim C. Modarres K. Wu John Paisley 116 1 0 23 Dec 2018
Time-Discounting Convolution for Event Sequences with Ambiguous Timestamps Takayuki Katsuki Takayuki Osogami Akira Koseki Masaki Ono M. Kudo M. Makino Atsushi Suzuki AI4TS 22 1 0 06 Dec 2018
Leveraging Clinical Time-Series Data for Prediction: A Cautionary Tale E. Sherman H. Gurm U. Balis S. Owens Jenna Wiens OOD AI4TS 19 23 0 29 Nov 2018
Improving Hospital Mortality Prediction with Medical Named Entities and Multimodal Learning Mengqi Jin M. T. Bahadori Aaron Colak Parminder Bhatia B. Celikkaya ... Borui Zhang T. Doman Arun Ravi Matthieu Liger Taha A. Kass-Hout 20 68 0 29 Nov 2018
Disease phenotyping using deep learning: A diabetes case study S. Rashidian J. Hajagos R. Moffitt Fusheng Wang Xinyu Dong ... Rajarsi R. Gupta M. Tharakan Veena Lingam Joel H. Saltz M. Saltz 22 6 0 28 Nov 2018
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification E. Brouwer Jaak Simm Adam Arany Yves Moreau 26 6 0 26 Nov 2018
Predicting Diabetes Disease Evolution Using Financial Records and Recurrent Neural Networks R. T. Sousa Lucas A. Pereira A. S. Soares 19 6 0 23 Nov 2018
Learning Representations of Missing Data for Predicting Patient Outcomes Brandon M. Malone Alberto García-Durán Mathias Niepert 23 20 0 12 Nov 2018
CarePre: An Intelligent Clinical Decision Assistance System Zhuochen Jin Jingshun Yang Shuyuan Cui David Gotz Jimeng Sun Nan Cao 29 31 0 06 Nov 2018
Learning Contextual Hierarchical Structure of Medical Concepts with Poincairé Embeddings to Clarify Phenotypes Brett K. Beaulieu-Jones I. Kohane Andrew L. Beam 33 8 0 03 Nov 2018
A latent topic model for mining heterogenous non-randomly missing electronic health records data Yue Li Manolis Kellis 16 1 0 01 Nov 2018
Forecasting Individualized Disease Trajectories using Interpretable Deep Learning Ahmed Alaa M. Schaar 30 11 0 24 Oct 2018
MiME: Multilevel Medical Embedding of Electronic Health Records for Predictive Healthcare Edward Choi Cao Xiao Walter F. Stewart Jimeng Sun 18 235 0 22 Oct 2018
Deep Diabetologist: Learning to Prescribe Hyperglycemia Medications with Hierarchical Recurrent Neural Networks Jing Mei Shiwan Zhao Feng Jin Eryu Xia Haifeng Liu Xiang Li BDL 12 1 0 17 Oct 2018
Patient2Vec: A Personalized Interpretable Deep Representation of the Longitudinal Electronic Health Record Jinghe Zhang Kamran Kowsari James H. Harrison J. Lobo Laura E. Barnes 36 136 0 10 Oct 2018
PhoneMD: Learning to Diagnose Parkinson's Disease from Smartphone Data Patrick Schwab W. Karlen 21 46 0 01 Oct 2018
Learning Deep Representations from Clinical Data for Chronic Kidney Disease D. Luong V. Chandola 31 1 0 01 Oct 2018
Understanding Behavior of Clinical Models under Domain Shifts Jayaraman J. Thiagarajan Deepta Rajan P. Sattigeri OOD AI4CE 26 3 0 20 Sep 2018
Simultaneous Measurement Imputation and Outcome Prediction for Achilles Tendon Rupture Rehabilitation Charles Hamesse Ruibo Tu P. Ackermann Hedvig Kjellström Cheng Zhang 22 4 0 08 Sep 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 30 254 0 06 Sep 2018
Deep EHR: Chronic Disease Prediction Using Medical Notes Jingshu Liu Zachariah Zhang N. Razavian 29 105 0 15 Aug 2018
Learning to Write Notes in Electronic Health Records Peter J. Liu 23 20 0 08 Aug 2018
RAIM: Recurrent Attentive and Intensive Model of Multimodal Patient Monitoring Data Yanbo Xu Siddharth Biswal S. Deshpande K. Maher Jimeng Sun 27 163 0 23 Jul 2018