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
Machine learning applications using diffusion tensor imaging of human brain: A PubMed literature review Ashirbani Saha Pantea Fadaiefard J. Rabski Alireza Sadeghian M. Cusimano MedIm AI4CE 22 3 0 18 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
Deep Learning -- A first Meta-Survey of selected Reviews across Scientific Disciplines, their Commonalities, Challenges and Research Impact Jan Egger Antonio Pepe Christina Schwarz-Gsaxner Yuan Jin Jianning Li Roman Kern OOD VLM AI4CE 31 30 0 16 Nov 2020
An Interpretable End-to-end Fine-tuning Approach for Long Clinical Text Kexin Huang S. Garapati Alex Rich AI4MH 6 4 0 12 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 30 1 0 11 Nov 2020
Deep-Dup: An Adversarial Weight Duplication Attack Framework to Crush Deep Neural Network in Multi-Tenant FPGA Adnan Siraj Rakin Yukui Luo Xiaolin Xu Deliang Fan AAML 25 49 0 05 Nov 2020
Multiple Sclerosis Severity Classification From Clinical Text Alister D Costa Stefan Denkovski Michal Malyska S. Moon Brandon Rufino Zhen Yang Taylor W. Killian Marzyeh Ghassemi 26 12 0 29 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 35 56 0 23 Oct 2020
A Survey on Deep Learning and Explainability for Automatic Report Generation from Medical Images Pablo Messina Pablo Pino Denis Parra Alvaro Soto Cecilia Besa S. Uribe Marcelo andía C. Tejos Claudia Prieto Daniel Capurro MedIm 36 62 0 20 Oct 2020
Interpretable Disease Prediction based on Reinforcement Path Reasoning over Knowledge Graphs Zhoujian Sun W. Dong Jinlong Shi Zhengxing Huang 19 6 0 16 Oct 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
Evaluating Progress on Machine Learning for Longitudinal Electronic Healthcare Data David R. Bellamy Leo Anthony Celi Andrew L. Beam LM&MA OOD 29 23 0 02 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
BiteNet: Bidirectional Temporal Encoder Network to Predict Medical Outcomes Xueping Peng Guodong Long Tao Shen Sen Wang Jing Jiang Chengqi Zhang 14 15 0 24 Sep 2020
Robust Aggregation for Adaptive Privacy Preserving Federated Learning in Healthcare Matei Grama M. Mușat Luis Muñoz-González Jonathan Passerat-Palmbach Daniel Rueckert A. Alansary OOD FedML 17 45 0 17 Sep 2020
All Data Inclusive, Deep Learning Models to Predict Critical Events in the Medical Information Mart for Intensive Care III Database (MIMIC III) Anubhav Reddy Nallabasannagari M. Reddiboina R. Seltzer Trevor Zeffiro Ajay Sharma M. Bhandari 25 10 0 02 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
COVID-19 in differential diagnosis of online symptom assessments A. Kannan Richard J. Chen V. Venkataraman Geoffrey Tso X. Amatriain OOD 32 1 0 07 Aug 2020
Neural Temporal Point Processes For Modelling Electronic Health Records Joseph Enguehard Dan Busbridge Adam James Bozson Claire Woodcock Nils Y. Hammerla 21 43 0 27 Jul 2020
Extracting Structured Data from Physician-Patient Conversations By Predicting Noteworthy Utterances Kundan Krishna Amy Pavel Benjamin Schloss Jeffrey P. Bigham Zachary Chase Lipton 27 17 0 14 Jul 2020
Hardware Implementation of Deep Network Accelerators Towards Healthcare and Biomedical Applications M. R. Azghadi Corey Lammie Jason Eshraghian Melika Payvand Elisa Donati B. Linares-Barranco Giacomo Indiveri 30 139 0 11 Jul 2020
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values L. J. Liu Hongwei Zhang Jianzhong Di Jin Chen 9 2 0 25 Jun 2020
Using Deep Learning and Explainable Artificial Intelligence in Patients' Choices of Hospital Levels Lichin Chen Yu Tsao J. Sheu OOD 4 5 0 24 Jun 2020
Frequentist Uncertainty in Recurrent Neural Networks via Blockwise Influence Functions Ahmed Alaa M. Schaar UQCV BDL 14 22 0 20 Jun 2020
Analysing Risk of Coronary Heart Disease through Discriminative Neural Networks Ayush Khaneja Siddharth Srivastava Astha Rai A. Cheema P. K. Srivastava 8 4 0 17 Jun 2020
Self-Attention Enhanced Patient Journey Understanding in Healthcare System Xueping Peng Guodong Long Tao Shen Sen Wang Jing Jiang AI4TS 10 17 0 15 Jun 2020
OptiLIME: Optimized LIME Explanations for Diagnostic Computer Algorithms Giorgio Visani Enrico Bagli F. Chesani FAtt 27 60 0 10 Jun 2020
ISeeU2: Visually Interpretable ICU mortality prediction using deep learning and free-text medical notes William Caicedo-Torres Jairo Gutiérrez 29 3 0 19 May 2020
Domain Adaptation in Highly Imbalanced and Overlapping Datasets R. Ber T. Haramaty OOD 37 2 0 07 May 2020
Dynamic Predictions of Postoperative Complications from Explainable, Uncertainty-Aware, and Multi-Task Deep Neural Networks B. Shickel Tyler J. Loftus M. Ruppert Gilbert R. Upchurch T. Ozrazgat-Baslanti Parisa Rashidi A. Bihorac UQCV AI4CE 18 13 0 27 Apr 2020
Sequential Interpretability: Methods, Applications, and Future Direction for Understanding Deep Learning Models in the Context of Sequential Data B. Shickel Parisa Rashidi AI4TS 33 17 0 27 Apr 2020
Human Activity Recognition using Inertial, Physiological and Environmental Sensors: a Comprehensive Survey Florenc Demrozi G. Pravadelli A. Bihorac Parisa Rashidi 22 233 0 19 Apr 2020
DeepHammer: Depleting the Intelligence of Deep Neural Networks through Targeted Chain of Bit Flips Fan Yao Adnan Siraj Rakin Deliang Fan AAML 18 155 0 30 Mar 2020
Empirical Analysis of Zipf's Law, Power Law, and Lognormal Distributions in Medical Discharge Reports J. Quiroz L. Laranjo C. Tufanaru A. Kocaballi Dana Rezazadegan S. Berkovsky E. Coiera 21 1 0 30 Mar 2020
Can We Use Split Learning on 1D CNN Models for Privacy Preserving Training? Sharif Abuadbba Kyuyeon Kim Minki Kim Chandra Thapa S. Çamtepe Yansong Gao Hyoungshick Kim Surya Nepal FedML 8 122 0 16 Mar 2020
Adaptive Prediction Timing for Electronic Health Records J. Deasy A. Ercole Pietro Lio OOD 19 1 0 05 Mar 2020
Secondary Use of Electronic Health Record: Opportunities and Challenges S. M. Shah Rizwan Ahmed Khan 23 77 0 26 Jan 2020
Natural language processing of MIMIC-III clinical notes for identifying diagnosis and procedures with neural networks Siddhartha Nuthakki Sunil Neela J. Gichoya S. Purkayastha 9 28 0 28 Dec 2019
On Sharing Models Instead of Data using Mimic learning for Smart Health Applications Mohamed Baza A. Salazar Mohamed Mahmoud Mohamed M. Abdallah Kemal Akkaya 42 18 0 24 Dec 2019
The accuracy vs. coverage trade-off in patient-facing diagnosis models A. Kannan Jason Alan Fries Eric R. Kramer Jen Jen Chen N. Shah X. Amatriain 14 7 0 11 Dec 2019
Variationally Regularized Graph-based Representation Learning for Electronic Health Records Weicheng Zhu N. Razavian BDL CML 6 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 L. Buntine 18 18 0 08 Dec 2019
Med2Meta: Learning Representations of Medical Concepts with Meta-Embeddings Shaika Chowdhury Chenwei Zhang Philip S. Yu Yuan Luo 12 7 0 06 Dec 2019
Obesity Prediction with EHR Data: A deep learning approach with interpretable elements Mehak Gupta T. Phan Timothy Bunnell Rahmatollah Beheshti 30 67 0 05 Dec 2019
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 21 298 0 03 Dec 2019
Preserving Patient Privacy while Training a Predictive Model of In-hospital Mortality Pulkit Sharma Farah E. Shamout David Clifton 22 25 0 01 Dec 2019
Towards unstructured mortality prediction with free-text clinical notes Mohammad Hashir R. Sawhney 31 39 0 19 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 22 2 0 13 Nov 2019
Unsupervised Annotation of Phenotypic Abnormalities via Semantic Latent Representations on Electronic Health Records Jingqing Zhang Xiaoyu Zhang Kai Sun Xian Yang Chengliang Dai Yike Guo 22 6 0 10 Nov 2019
Mixed Pooling Multi-View Attention Autoencoder for Representation Learning in Healthcare Shaika Chowdhury Chenwei Zhang Philip S. Yu Yuan Luo 16 13 0 14 Oct 2019