Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis

12 June 2017

Papers citing "Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis"

50 / 202 papers shown

Title
Predicting Visit Cost of Obstructive Sleep Apnea using Electronic Healthcare Records with Transformer Zhaoyang Chen Lina Siltala-Li Mikko Lassila Pekka Malo Eeva Vilkkumaa T. Saaresranta A. Virkki 24 4 0 28 Jan 2023
TemporAI: Facilitating Machine Learning Innovation in Time Domain Tasks for Medicine Evgeny S. Saveliev M. Schaar 32 4 0 28 Jan 2023
A Multi-View Joint Learning Framework for Embedding Clinical Codes and Text Using Graph Neural Networks Lecheng Kong C. King Bradley A. Fritz Yixin Chen 14 1 0 27 Jan 2023
Improving Medical Predictions by Irregular Multimodal Electronic Health Records Modeling Xinlu Zhang Shiyang Li Zhiyu Zoey Chen Xifeng Yan Linda R. Petzold AI4TS 57 27 0 18 Oct 2022
Mini-Batch Learning Strategies for modeling long term temporal dependencies: A study in environmental applications Shaoming Xu A. Khandelwal Xiang Li X. Jia Licheng Liu ... Kelly Cutler M. Steinbach Christopher J. Duffy John L. Nieber Vipin Kumar 6 3 0 15 Oct 2022
Self-supervised Representation Learning on Electronic Health Records with Graph Kernel Infomax Hao-Ren Yao Nairen Cao Katina Russell D. Chang O. Frieder Jeremy T. Fineman SSL 25 1 0 01 Sep 2022
Unsupervised EHR-based Phenotyping via Matrix and Tensor Decompositions Florian Becker A. Smilde E. Acar 27 4 0 01 Sep 2022
POPDx: An Automated Framework for Patient Phenotyping across 392,246 Individuals in the UK Biobank Study Lu Yang Sheng Wang Russ Altman LM&MA 21 5 0 23 Aug 2022
COPER: Continuous Patient State Perceiver V. Chauhan Anshul Thakur Odhran O'Donoghue David Clifton AI4TS OOD 43 5 0 05 Aug 2022
MedFuse: Multi-modal fusion with clinical time-series data and chest X-ray images Nasir Hayat Krzysztof J. Geras Farah E. Shamout MedIm 27 41 0 14 Jul 2022
FD-GATDR: A Federated-Decentralized-Learning Graph Attention Network for Doctor Recommendation Using EHR Luning Bi Yunlong Wang Fan Zhang Zhuqing Liu Yong Cai E. Zhao FedML 15 3 0 11 Jul 2022
Boosting the interpretability of clinical risk scores with intervention predictions Eric Loreaux Ke Yu Jonas Kemp Martin G. Seneviratne Christina W. Chen ... Ivan V. Protsyuk Natalie Harris Alexander DÁmour Steve Yadlowsky Ming-Jun Chen 19 1 0 06 Jul 2022
CATNet: Cross-event Attention-based Time-aware Network for Medical Event Prediction Sicen Liu Xiaolong Wang Yang Xiang Huiqin Xu Hui Wang Buzhou Tang AI4TS 22 10 0 29 Apr 2022
Unsupervised Probabilistic Models for Sequential Electronic Health Records Alan Kaplan John D Greene Vincent X. Liu Priyadip Ray 34 2 0 15 Apr 2022
EHRKit: A Python Natural Language Processing Toolkit for Electronic Health Record Texts Irene Z Li Keen You Yujie Qiao Lucas Huang Chia-Chun Hsieh Benjamin Rosand Xiangru Tang Dragomir R. Radev 50 4 0 13 Apr 2022
Few-Shot Cross-lingual Transfer for Coarse-grained De-identification of Code-Mixed Clinical Texts Saadullah Amin N. Goldstein M. Wixted Alejandro García-Rudolph Catalina Martínez-Costa G. Neumann 25 5 0 10 Apr 2022
RobIn: A Robust Interpretable Deep Network for Schizophrenia Diagnosis Daniel Organisciak Hubert P. H. Shum E. Nwoye Wai Lok Woo OOD 27 19 0 31 Mar 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
Predicting the Travel Distance of Patients to Access Healthcare using Deep Neural Networks Lichin Chen J. Sheu Yuh-Jue Chuang Yu Tsao 14 4 0 07 Dec 2021
Medical Visual Question Answering: A Survey Zhihong Lin Donghao Zhang Qingyi Tao Danli Shi Gholamreza Haffari Qi Wu M. He Z. Ge 28 112 0 19 Nov 2021
Federated Learning for Smart Healthcare: A Survey Dinh C. Nguyen Viet Quoc Pham P. Pathirana Ming Ding Aruna Seneviratne Zihuai Lin O. Dobre W. Hwang FedML 24 516 0 16 Nov 2021
Longitudinal patient stratification of electronic health records with flexible adjustment for clinical outcomes Oliver Carr A. Javer P. Rockenschaub O. Parsons Robert Durichen 18 5 0 11 Nov 2021
Machine Learning for Multimodal Electronic Health Records-based Research: Challenges and Perspectives Ziyi Liu Jiaqi Zhang Yongshuai Hou Xinran Zhang Ge Li Yang Xiang 19 14 0 09 Nov 2021
NFT-K: Non-Fungible Tangent Kernels Sina Alemohammad Hossein Babaei C. Barberan Naiming Liu Lorenzo Luzi Blake Mason Richard G. Baraniuk AAML 11 0 0 11 Oct 2021
Temporal Clustering with External Memory Network for Disease Progression Modeling Zicong Zhang Changchang Yin Ping Zhang 62 1 0 29 Sep 2021
Sequential Diagnosis Prediction with Transformer and Ontological Representation Xueping Peng Guodong Long Tao Shen Sen Wang Jing Jiang 30 29 0 07 Sep 2021
Patient Outcome and Zero-shot Diagnosis Prediction with Hypernetwork-guided Multitask Learning Shaoxiong Ji Pekka Marttinen 32 5 0 07 Sep 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
Deep learning models are not robust against noise in clinical text M. Moradi Kathrin Blagec Matthias Samwald OOD 25 6 0 27 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
Federated Learning for Privacy-Preserving Open Innovation Future on Digital Health Guodong Long Tao Shen Yue Tan Leah Gerrard Allison Clarke Jing Jiang FedML 26 45 0 24 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
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
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks Byunggill Joe Akshay Mehra I. Shin Jihun Hamm 17 9 0 15 Jun 2021
Differentially Private Federated Learning via Inexact ADMM Minseok Ryu Kibaek Kim FedML 39 15 0 11 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
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
A Systematic Review of Natural Language Processing Applied to Radiology Reports Arlene Casey Emma Davidson Michael Poon Hang Dong Daniel Duma ... Víctor Suárez-Paniagua Richard Tobin William Whiteley Honghan Wu Beatrice Alex AI4CE 14 96 0 18 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
Investigating Critical Risk Factors in Liver Cancer Prediction Jinpeng Li Yaling Tao Ting Cai 33 0 0 03 Feb 2021
B-HAR: an open-source baseline framework for in depth study of human activity recognition datasets and workflows Florenc Demrozi Cristian Turetta G. Pravadelli 25 8 0 23 Jan 2021
Unsupervised Imputation of Non-ignorably Missing Data Using Importance-Weighted Autoencoders David K. Lim N. Rashid Junier B. Oliva J. Ibrahim 26 3 0 18 Jan 2021
A Literature Review of Recent Graph Embedding Techniques for Biomedical Data Yankai Chen Yaozu Wu Shicheng Ma Irwin King 25 6 0 17 Jan 2021
Adversarial Sample Enhanced Domain Adaptation: A Case Study on Predictive Modeling with Electronic Health Records Yiqin Yu Pin-Yu Chen Yuan Zhou Jing Mei OOD 23 1 0 13 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
Deep Learning with Heterogeneous Graph Embeddings for Mortality Prediction from Electronic Health Records Tingyi Wanyan Hossein Honarvar A. Azad Ying Ding B. Glicksberg 24 19 0 28 Dec 2020
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