BEHRT: Transformer for Electronic Health Records

22 July 2019

Papers citing "BEHRT: Transformer for Electronic Health Records"

50 / 154 papers shown

Title
Unsupervised Numerical Reasoning to Extract Phenotypes from Clinical Text by Leveraging External Knowledge Ashwani Tanwar Jingqing Zhang Julia Ive Vibhor Gupta Yike Guo 17 3 0 19 Apr 2022
Multi-Label Clinical Time-Series Generation via Conditional GAN C. Lu Chandan K. Reddy Ping Wang Dong Nie Yue Ning SyDa 40 26 0 10 Apr 2022
Unsupervised Pre-Training on Patient Population Graphs for Patient-Level Predictions Chantal Pellegrini Anees Kazi Nassir Navab 24 2 0 23 Mar 2022
Sex Trouble: Common pitfalls in incorporating sex/gender in medical machine learning and how to avoid them Kendra Albert Maggie K. Delano FaML 24 11 0 15 Mar 2022
AutoMap: Automatic Medical Code Mapping for Clinical Prediction Model Deployment Zhenbang Wu Cao Xiao Lucas Glass David M. Liebovitz Jimeng Sun 48 5 0 04 Mar 2022
BERT WEAVER: Using WEight AVERaging to enable lifelong learning for transformer-based models in biomedical semantic search engines Lisa Langnickel Alexander Schulz Barbara Hammer Juliane Fluck CLL MedIm 14 3 0 21 Feb 2022
Phenotyping with Positive Unlabelled Learning for Genome-Wide Association Studies A. Vauvelle Hamish Tomlinson Aaron Sim Spiros C. Denaxas 11 0 0 15 Feb 2022
Targeted-BEHRT: Deep learning for observational causal inference on longitudinal electronic health records Shishir Rao M. Mamouei G. Salimi-Khorshidi Yikuan Li R. Ramakrishnan A. Hassaine D. Canoy K. Rahimi OOD CML 30 22 0 07 Feb 2022
Multimodal data matters: language model pre-training over structured and unstructured electronic health records Sicen Liu Xiaolong Wang Yongshuai Hou Ge Li Hui Wang Huiqin Xu Yang Xiang Buzhou Tang 52 30 0 25 Jan 2022
Explainable Deep Learning in Healthcare: A Methodological Survey from an Attribution View Di Jin Elena Sergeeva W. Weng Geeticka Chauhan Peter Szolovits OOD 41 55 0 05 Dec 2021
Rationale production to support clinical decision-making Niall Taylor Lei Sha Dan W Joyce Thomas Lukasiewicz A. Nevado-Holgado Andrey Kormilitzin FAtt 22 4 0 15 Nov 2021
CEHR-BERT: Incorporating temporal information from structured EHR data to improve prediction tasks Chao Pang Xinzhuo Jiang Krishna S. Kalluri M. Spotnitz Ruijun Chen A. Perotte Karthik Natarajan OOD 19 58 0 10 Nov 2021
Kernel Deformed Exponential Families for Sparse Continuous Attention Alexander Moreno Supriya Nagesh Zhenke Wu Walter Dempsey James M. Rehg 22 1 0 01 Nov 2021
Transformers for prompt-level EMA non-response prediction Supriya Nagesh Alexander Moreno Stephanie M Carpenter Jamie Yap Soujanya Chatterjee ... Santosh Kumar Cho Lam D. Wetter Inbal Nahum-Shani James M. Rehg 19 0 0 01 Nov 2021
Natural Language Processing for Smart Healthcare Binggui Zhou Guanghua Yang Zheng Shi Shaodan Ma AI4MH LM&MA 35 112 0 19 Oct 2021
Pre-trained Language Models in Biomedical Domain: A Systematic Survey Benyou Wang Qianqian Xie Jiahuan Pei Zhihong Chen Prayag Tiwari Zhao Li Jie Fu LM&MA AI4CE 37 164 0 11 Oct 2021
SCEHR: Supervised Contrastive Learning for Clinical Risk Prediction using Electronic Health Records Chengxi Zang Fei Wang 28 15 0 11 Oct 2021
Self-Supervised Detection of Contextual Synonyms in a Multi-Class Setting: Phenotype Annotation Use Case Jingqing Zhang Luis Bolaños T. Li Ashwani Tanwar Guilherme Freire Xian Yang Julia Ive Vibhor Gupta Yike Guo 21 14 0 04 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
Identification of Pediatric Respiratory Diseases Using Fine-grained Diagnosis System Gang Yu Zhongzhi Yu Yemin Shi Yingshuo Wang Xiaoqing Liu Zheming Li Yonggen Zhao Fenglei Sun Yizhou Yu Q. Shu 28 14 0 24 Aug 2021
AMMUS : A Survey of Transformer-based Pretrained Models in Natural Language Processing Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha VLM LM&MA 26 261 0 12 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 40 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
MIPO: Mutual Integration of Patient Journey and Medical Ontology for Healthcare Representation Learning Xueping Peng Guodong Long Sen Wang Jing Jiang Allison Clarke Clement Schlegel Chen Zhang AI4TS 25 4 0 20 Jul 2021
Self-supervision for health insurance claims data: a Covid-19 use case Emilia Apostolova Fazle Karim G. Muscioni Anubhav Rana J. Clyman 11 0 0 19 Jul 2021
MedGPT: Medical Concept Prediction from Clinical Narratives Z. Kraljevic Anthony Shek D. Bean R. Bendayan J. Teo Richard J. B. Dobson LM&MA AI4TS MedIm 25 39 0 07 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
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 13 1 0 21 Jun 2021
Explainable Health Risk Predictor with Transformer-based Medicare Claim Encoder Chuhong Lahlou Ancil Crayton C. Trier E. Willett MedIm 21 5 0 19 May 2021
Three-level Hierarchical Transformer Networks for Long-sequence and Multiple Clinical Documents Classification Yuqi Si Kirk Roberts 24 9 0 17 Apr 2021
AMMU : A Survey of Transformer-based Biomedical Pretrained Language Models Katikapalli Subramanyam Kalyan A. Rajasekharan S. Sangeetha LM&MA MedIm 28 164 0 16 Apr 2021
SINA-BERT: A pre-trained Language Model for Analysis of Medical Texts in Persian Nasrin Taghizadeh Ehsan Doostmohammadi Elham Seifossadat Hamid R. Rabiee M. Tahaei LM&MA AI4MH 6 7 0 15 Apr 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
Generalized and Transferable Patient Language Representation for Phenotyping with Limited Data Yuqi Si E. Bernstam Kirk Roberts 21 8 0 24 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 explainable Transformer-based deep learning model for the prediction of incident heart failure Shishir Rao Yikuan Li R. Ramakrishnan A. Hassaine D. Canoy J. Cleland Thomas Lukasiewicz G. Salimi-Khorshidi K. Rahimi MedIm 18 70 0 27 Jan 2021
Applications of artificial intelligence in drug development using real-world data Zhaoyi Chen Xiong Liu William R. Hogan E. Shenkman Jiang Bian 14 48 0 22 Jan 2021
Deep Semi-Supervised Embedded Clustering (DSEC) for Stratification of Heart Failure Patients Oliver Carr Stojan Jovanovic L. Albergante Fernando Andreotti Robert Durichen Nadia Lipunova J. Baxter Rabia T. Khan B. Irving 16 4 0 24 Dec 2020
Identifying Risk of Opioid Use Disorder for Patients Taking Opioid Medications with Deep Learning Xinyu Dong Jianyuan Deng S. Rashidian Kayley Abell-Hart W. Hou R. Rosenthal M. Saltz Joel H. Saltz Fusheng Wang 24 29 0 09 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 21 154 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 21 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 18 31 0 06 Sep 2020
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis Maria Hügle Gabriel Kalweit T. Huegle Joschka Boedecker BDL 19 20 0 14 Aug 2020
Neural Temporal Point Processes For Modelling Electronic Health Records Joseph Enguehard Dan Busbridge Adam James Bozson Claire Woodcock Nils Y. Hammerla 23 43 0 27 Jul 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data Matthew B. A. McDermott Bret A. Nestor Evan Kim Wancong Zhang Anna Goldenberg Peter Szolovits Marzyeh Ghassemi Csail AI4TS 22 15 0 20 Jul 2020
Deep Contextual Clinical Prediction with Reverse Distillation Rohan Kodialam Rebecca Boiarsky Justin Lim Neil Dixit Aditya Sai David Sontag 20 25 0 10 Jul 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 24 657 0 22 May 2020