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
Explainable AI (XAI): A Systematic Meta-Survey of Current Challenges and Future Opportunities Waddah Saeed C. Omlin XAI 41 414 0 11 Nov 2021
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers B. Shickel P. Tighe A. Bihorac Parisa Rashidi 30 5 0 09 Nov 2021
Optimizing Binary Symptom Checkers via Approximate Message Passing Mohamed Akrout F. Bellili A. Mezghani Hayet Amdouni 15 0 0 30 Oct 2021
How to Leverage Multimodal EHR Data for Better Medical Predictions? Bo Yang Lijun Wu 36 41 0 29 Oct 2021
Using Clinical Drug Representations for Improving Mortality and Length of Stay Predictions Batuhan Bardak Mehmet Tan 30 2 0 17 Oct 2021
Interpretable Additive Recurrent Neural Networks For Multivariate Clinical Time Series Asif Rahman Yale Chang Jonathan Rubin AI4TS HAI 27 3 0 15 Sep 2021
Application of Machine Learning in Early Recommendation of Cardiac Resynchronization Therapy Brendan E. Odigwe F. Spinale H. Valafar 18 3 0 13 Sep 2021
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning Shaoxiong Ji Pekka Marttinen 32 5 0 07 Sep 2021
Global-Local Item Embedding for Temporal Set Prediction Seungjae Jung Young-Jin Park Jisu Jeong KyungHyun Kim Hiun Kim Minkyu Kim Hanock Kwak 18 3 0 05 Sep 2021
SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models Yogesh Kumar Alexander Ilin H. Salo S. Kulathinal M. Leinonen Pekka Marttinen AI4TS MedIm 28 0 0 31 Aug 2021
Time Series Prediction using Deep Learning Methods in Healthcare M. Morid O. R. Sheng Josef A. Dunbar OOD AI4TS 27 106 0 30 Aug 2021
Unifying Heterogeneous Electronic Health Records Systems via Text-Based Code Embedding Kyunghoon Hur Jiyoung Lee Jungwoo Oh Wesley Price Young-Hak Kim Edward Choi 43 17 0 08 Aug 2021
Transfer Learning in Electronic Health Records through Clinical Concept Embedding J. R. A. Solares Yajie Zhu A. Hassaine Shishir Rao Yikuan Li M. Mamouei D. Canoy K. Rahimi G. Salimi-Khorshidi 34 6 0 27 Jul 2021
Deep learning for temporal data representation in electronic health records: A systematic review of challenges and methodologies F. Xie Han Yuan Yilin Ning M. Ong Mengling Feng Wynne Hsu B. Chakraborty Nan Liu 32 84 0 21 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Z Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 26 154 0 07 Jul 2021
Few-Shot Electronic Health Record Coding through Graph Contrastive Learning Shanshan Wang Pengjie Ren Zhumin Chen Zhaochun Ren Huasheng Liang Qiang Yan Evangelos Kanoulas Maarten de Rijke 16 5 0 29 Jun 2021
Pastprop-RNN: improved predictions of the future by correcting the past A. M. Baptista Yassine Baghoussi Carlos Soares João Mendes-Moreira Miguel Arantes AI4TS 29 2 0 25 Jun 2021
Modeling Diagnostic Label Correlation for Automatic ICD Coding Shang-Chi Tsai Chaorui Huang Yun-Nung Chen 17 16 0 24 Jun 2021
Transformer-based unsupervised patient representation learning based on medical claims for risk stratification and analysis Xianlong Zeng Simon M. Lin Chang Liu 27 6 0 23 Jun 2021
Hi-BEHRT: Hierarchical Transformer-based model for accurate prediction of clinical events using multimodal longitudinal electronic health records Yikuan Li M. Mamouei G. Salimi-Khorshidi Shishir Rao A. Hassaine D. Canoy Thomas Lukasiewicz K. Rahimi 29 76 0 21 Jun 2021
Medical Profile Model: Scientific and Practical Applications in Healthcare Pavel Blinov V. Kokh 21 1 0 21 Jun 2021
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced Ensemble Ruiqing Ding Yu Zhou Jie Xu Yan Xie Qiqiang Liang He Ren Yixuan Wang Yanlin Chen Leye Wang Man Huang OOD 13 5 0 18 Jun 2021
Self-Supervised Graph Learning with Hyperbolic Embedding for Temporal Health Event Prediction Chang Lu Chandan K. Reddy Yue Ning 30 27 0 09 Jun 2021
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder Chuhong Lahlou Ancil Crayton C. Trier E. Willett MedIm 24 5 0 19 May 2021
Collaborative Graph Learning with Auxiliary Text for Temporal Event Prediction in Healthcare Chang Lu Chandan K. Reddy Prithwish Chakraborty Samantha Kleinberg Yue Ning 26 58 0 16 May 2021
SafeDrug: Dual Molecular Graph Encoders for Recommending Effective and Safe Drug Combinations Chaoqi Yang Cao Xiao Fenglong Ma Lucas Glass Jimeng Sun 30 78 0 05 May 2021
Supervised multi-specialist topic model with applications on large-scale electronic health record data Ziyang Song Xavier Sumba Toral Yixin Xu Aihua Liu Liming Guo G. Powell Aman Verma David L. Buckeridge Ariane Marelli Yue Li 11 12 0 04 May 2021
Neural Language Models with Distant Supervision to Identify Major Depressive Disorder from Clinical Notes Bhavani Singh Agnikula Kshatriya N. Nuñez Manuel Gardea-Reséndez Euijung Ryu B. Coombes S. Fu M. Frye Joanna M. Biernacka Yanshan Wang 19 6 0 19 Apr 2021
Towards BERT-based Automatic ICD Coding: Limitations and Opportunities Damian Pascual Sandro Luck Roger Wattenhofer MedIm 24 54 0 14 Apr 2021
Bootstrapping Your Own Positive Sample: Contrastive Learning With Electronic Health Record Data Tingyi Wanyan Jing Zhang Ying Ding A. Azad Zhangyang Wang B. Glicksberg 22 10 0 07 Apr 2021
Multitask Recalibrated Aggregation Network for Medical Code Prediction Wei Sun Shaoxiong Ji Min Zhang Pekka Marttinen 14 8 0 02 Apr 2021
A Temporal Kernel Approach for Deep Learning with Continuous-time Information Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan SyDa AI4TS 22 4 0 28 Mar 2021
Predicting Opioid Use Disorder from Longitudinal Healthcare Data using Multi-stream Transformer S. Fouladvand J. Talbert L. Dwoskin H. Bush A. Meadows Lars E. Peterson Ramakanth Kavuluru Jin Chen 24 4 0 16 Mar 2021
Lifelong Learning based Disease Diagnosis on Clinical Notes Zifeng Wang Yifan Yang Rui Wen Xi Chen Shao-Lun Huang Yefeng Zheng CLL 26 5 0 27 Feb 2021
Time-Series Imputation with Wasserstein Interpolation for Optimal Look-Ahead-Bias and Variance Tradeoff Jose H. Blanchet F. Hernández Viet Anh Nguyen Markus Pelger Xuhui Zhang AI4TS 14 2 0 25 Feb 2021
Neural Pharmacodynamic State Space Modeling Zeshan Hussain Rahul G. Krishnan David Sontag BDL AI4CE 19 10 0 22 Feb 2021
Risk factor identification for incident heart failure using neural network distillation and variable selection Yikuan Li Shishir Rao M. Mamouei G. Salimi-Khorshidi D. Canoy A. Hassaine Thomas Lukasiewicz Kazem Rahimi 11 0 0 17 Feb 2021
Temporal Cascade and Structural Modelling of EHRs for Granular Readmission Prediction B. Hettige Weiqing Wang Yuan-Fang Li Suong Le Wray Buntine CML 19 0 0 04 Feb 2021
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records Zhen Xu David R. So Andrew M. Dai Mamba 61 51 0 03 Feb 2021
An attention model to analyse the risk of agitation and urinary tract infections in people with dementia Honglin Li Roonak Rezvani Magdalena Anita Kolanko D. Sharp M. Wairagkar R. Vaidyanathan R. Nilforooshan Payam Barnaghi 16 3 0 18 Jan 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu 32 64 0 17 Jan 2021
An Explainable CNN Approach for Medical Codes Prediction from Clinical Text Shuyuan Hu Fei Teng OOD FAtt 8 30 0 14 Jan 2021
Contrastive Learning Improves Critical Event Prediction in COVID-19 Patients Tingyi Wanyan Hossein Honarvar S. Jaladanki Chengxi Zang Nidhi Naik ... Marinka Zitnik Ariful Azad Fei Wang Ying Ding Benjamin S. Glicksberg 21 0 0 11 Jan 2021
Characterizing Fairness Over the Set of Good Models Under Selective Labels Amanda Coston Ashesh Rambachan Alexandra Chouldechova FaML 30 82 0 02 Jan 2021
MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining Zhi Wen Xing Han Lù Siva Reddy AI4MH AI4CE 14 37 0 27 Dec 2020
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal S. Ghosh J. Duke B. Malin Walter F. Stewart Jimeng Sun SyDa BDL DRL 53 40 0 18 Dec 2020
Building Deep Learning Models to Predict Mortality in ICU Patients Huachuan Wang Yuanfei Bi 41 0 0 11 Dec 2020
TRACE: Early Detection of Chronic Kidney Disease Onset with Transformer-Enhanced Feature Embedding Yu Wang Ziqiao Guan W. Hou Fusheng Wang MedIm 38 3 0 03 Dec 2020
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 12 43 0 30 Nov 2020
Improving Clinical Outcome Predictions Using Convolution over Medical Entities with Multimodal Learning Batuhan Bardak Mehmet Tan 31 35 0 24 Nov 2020