Learning to Diagnose with LSTM Recurrent Neural Networks

11 November 2015

Papers citing "Learning to Diagnose with LSTM Recurrent Neural Networks"

46 / 96 papers shown

Title
LSTM-Based ECG Classification for Continuous Monitoring on Personal Wearable Devices Saeed Saadatnejad M. Oveisi Matin Hashemi 10 296 0 12 Dec 2018
Predicting pregnancy using large-scale data from a women's health tracking mobile application Bo Liu Shuyang Shi Yongshang Wu Daniel Thomas L. Symul Emma Pierson J. Leskovec 18 28 0 05 Dec 2018
Spatio-temporal Stacked LSTM for Temperature Prediction in Weather Forecasting Zahra Karevan Johan A. K. Suykens 14 39 0 15 Nov 2018
Multimodal Machine Learning for Automated ICD Coding Keyang Xu Mike Lam Jingzhi Pang Xin Gao Charlotte Band ... A. Khanna J. Cywinski K. Maheshwari P. Xie Eric Xing 16 109 0 31 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 27 136 0 10 Oct 2018
Learning Deep Representations from Clinical Data for Chronic Kidney Disease D. Luong V. Chandola 29 1 0 01 Oct 2018
GAMENet: Graph Augmented MEmory Networks for Recommending Medication Combination Junyuan Shang Cao Xiao Tengfei Ma Hongyan Li Jimeng Sun GNN 27 254 0 06 Sep 2018
Deep EHR: Chronic Disease Prediction Using Medical Notes Jingshu Liu Zachariah Zhang N. Razavian 29 105 0 15 Aug 2018
Transfer Learning for Clinical Time Series Analysis using Recurrent Neural Networks Priyanka Gupta Pankaj Malhotra L. Vig Gautam M. Shroff 24 39 0 04 Jul 2018
Multi-variable LSTM neural network for autoregressive exogenous model Tian Guo Tao R. Lin BDL AI4TS 43 19 0 17 Jun 2018
Natural Language Processing for EHR-Based Computational Phenotyping Zexian Zeng Yu Deng Xiaoyu Li Tristan Naumann Yuan Luo 40 147 0 13 Jun 2018
Learning Tasks for Multitask Learning: Heterogenous Patient Populations in the ICU Harini Suresh Jen J. Gong John Guttag 28 85 0 07 Jun 2018
RetainVis: Visual Analytics with Interpretable and Interactive Recurrent Neural Networks on Electronic Medical Records Bum Chul Kwon Min-Je Choi J. Kim Edward Choi Young Bin Kim Soonwook Kwon Jimeng Sun Jaegul Choo 27 251 0 28 May 2018
Chief complaint classification with recurrent neural networks Scott H. Lee Drew Levin Patrick D. Finley C. Heilig 12 30 0 19 May 2018
Internet of Things Meets Brain-Computer Interface: A Unified Deep Learning Framework for Enabling Human-Thing Cognitive Interactivity Xiang Zhang Lina Yao Shuai Zhang S. Kanhere Michael Sheng Yunhao Liu 8 77 0 01 May 2018
Multi-modality Sensor Data Classification with Selective Attention Xiang Zhang Lina Yao Chaoran Huang Sen Wang Mingkui Tan Guodong Long Can Wang 15 37 0 16 Apr 2018
Disease-Atlas: Navigating Disease Trajectories with Deep Learning Bryan Lim M. Schaar 22 32 0 27 Mar 2018
Bioinformatics and Medicine in the Era of Deep Learning D. Bacciu P. Lisboa José D. Martín R. Stoean A. Vellido AI4CE BDL 33 17 0 27 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care Patrick Schwab E. Keller C. Muroi David J. Mack C. Strässle W. Karlen 26 23 0 14 Feb 2018
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk Prediction Brandon Ballinger Johnson Hsieh Avesh Singh N. Sohoni Jack Wang ... G. Marcus Jose M. Sanchez Carol Maguire J. Olgin M. Pletcher HAI 26 129 0 07 Feb 2018
Phonocardiographic Sensing using Deep Learning for Abnormal Heartbeat Detection S. Latif Muhammad Usman R. Rana Junaid Qadir 27 143 0 25 Jan 2018
Scalable and accurate deep learning for electronic health records A. Rajkomar Eyal Oren Kai Chen Andrew M. Dai Nissan Hajaj ... A. Butte M. Howell Claire Cui Greg S. Corrado Jeffrey Dean OOD BDL 44 2,108 0 24 Jan 2018
Hybrid Gradient Boosting Trees and Neural Networks for Forecasting Operating Room Data Hugh Chen Scott M. Lundberg Su-In Lee AI4CE 19 8 0 23 Jan 2018
E-PUR: An Energy-Efficient Processing Unit for Recurrent Neural Networks Franyell Silfa Gem Dot J. Arnau Antonio González 33 39 0 20 Nov 2017
Attend and Diagnose: Clinical Time Series Analysis using Attention Models Huan-Zhi Song Deepta Rajan Jayaraman J. Thiagarajan A. Spanias MLAU 52 447 0 10 Nov 2017
Predicting Discharge Medications at Admission Time Based on Deep Learning Yu’an Yang P. Xie Xin Gao C. Cheng Yuan Li Hongbao Zhang Eric Xing BDL 40 10 0 04 Nov 2017
Learning to diagnose from scratch by exploiting dependencies among labels L. Yao Eric Poblenz Dmitry Dagunts Ben Covington D. Bernard Kevin Lyman 30 332 0 28 Oct 2017
Convolutional Recurrent Neural Networks for Electrocardiogram Classification Martin Zihlmann Dmytro Perekrestenko Michael Tschannen 19 215 0 17 Oct 2017
Checkpoint Ensembles: Ensemble Methods from a Single Training Process Hugh Chen Scott M. Lundberg Su-In Lee UQCV 15 61 0 09 Oct 2017
Multi-Label Classification of Patient Notes a Case Study on ICD Code Assignment Tal Baumel Jumana Nassour-Kassis Raphael Cohen Michael Elhadad Noémie Elhadad 21 200 0 27 Sep 2017
Boosting Deep Learning Risk Prediction with Generative Adversarial Networks for Electronic Health Records Zhengping Che Yu Cheng Shuangfei Zhai Zhaonan Sun Yan Liu OOD 19 159 0 06 Sep 2017
Developing Knowledge-enhanced Chronic Disease Risk Prediction Models from Regional EHR Repositories Jing Mei Eryu Xia Xiang Li Guotong Xie 15 4 0 31 Jul 2017
SLEEPNET: Automated Sleep Staging System via Deep Learning Siddharth Biswal Joshua A. Kulas Haoqi Sun B. Goparaju M. P. M. Brandon Westover M. Bianchi Jimeng Sun MLAU 20 136 0 26 Jul 2017
Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier Joseph D. Futoma S. Hariharan Katherine A. Heller 21 172 0 13 Jun 2017
Deep EHR: A Survey of Recent Advances in Deep Learning Techniques for Electronic Health Record (EHR) Analysis B. Shickel P. Tighe A. Bihorac Parisa Rashidi BDL 19 1,094 0 12 Jun 2017
Clinical Intervention Prediction and Understanding using Deep Networks Harini Suresh Nathan Hunt Alistair E. W. Johnson Leo Anthony Celi Peter Szolovits Marzyeh Ghassemi OOD 27 131 0 23 May 2017
Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs Yagmur Gizem Cinar Hamid Mirisaee Parantapa Goswami Éric Gaussier Ali Aït-Bachir V. Strijov AIMat AI4TS 21 74 0 29 Mar 2017
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 35 857 0 22 Mar 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 76 1,956 0 21 Mar 2017
Condensed Memory Networks for Clinical Diagnostic Inferencing Aaditya (Adi) Prakash Siyuan Zhao Sadid A. Hasan Vivek Datla Kathy Lee Ashequl Qadir Joey Liu Oladimeji Farri 22 102 0 06 Dec 2016
Neural Document Embeddings for Intensive Care Patient Mortality Prediction Paulina Grnarova Florian Schmidt Stephanie L. Hyland Carsten Eickhoff 8 67 0 01 Dec 2016
RETAIN: An Interpretable Predictive Model for Healthcare using Reverse Time Attention Mechanism Edward Choi M. T. Bahadori Joshua A. Kulas A. Schuetz Walter F. Stewart Jimeng Sun AI4TS 39 1,230 0 19 Aug 2016
Identifiable Phenotyping using Constrained Non-Negative Matrix Factorization Shalmali Joshi Suriya Gunasekar David Sontag Joydeep Ghosh CML 11 23 0 02 Aug 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 246 1,900 0 06 Jun 2016
Distributed Sequence Memory of Multidimensional Inputs in Recurrent Networks Adam S. Charles Dong Yin Christopher Rozell GNN 33 20 0 26 May 2016
Distilling Knowledge from Deep Networks with Applications to Healthcare Domain Zhengping Che S. Purushotham R. Khemani Yan Liu 17 139 0 11 Dec 2015