Learning to Diagnose with LSTM Recurrent Neural Networks

11 November 2015

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

50 / 95 papers shown

Title
Advancing Precision Oncology Through Modeling of Longitudinal and Multimodal Data Luoting Zhuang Stephen H. Park Steven J. Skates Ashley E. Prosper Denise R. Aberle William Hsu 119 0 0 11 Feb 2025
Learning Disease Progression Models That Capture Health Disparities Erica Chiang Divya Shanmugam Ashley N. Beecy Gabriel Sayer Nir Uriel Deborah Estrin N. Garg 70 0 0 20 Dec 2024
Autonomous Robotic Drilling System for Mice Cranial Window Creation Enduo Zhao M. M. Marinho K. Harada 21 5 0 20 Jun 2024
Deep Reinforcement Learning for Personalized Diagnostic Decision Pathways Using Electronic Health Records: A Comparative Study on Anemia and Systemic Lupus Erythematosus Lillian Muyama A. Neuraz Adrien Coulet 19 5 0 09 Apr 2024
Deep Learning for Multi-Label Learning: A Comprehensive Survey A. Tarekegn M. Ullah F. A. Cheikh AI4TS 40 8 0 29 Jan 2024
Short-Term Multi-Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention-GCN-LSTM Jie Liu Yijia Cao Yong Li Yixiu Guo Wei Deng 19 1 0 19 Dec 2023
SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation Hyun Ryu Sunjae Yoon Hee Suk Yoon Eunseop Yoon Changdong Yoo AI4TS 24 2 0 10 Dec 2023
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Jinsung Yoon Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 29 35 0 28 Oct 2023
Companion Animal Disease Diagnostics based on Literal-aware Medical Knowledge Graph Representation Learning Van Thuy Hoang Sang Thanh Nguyen Sangmyeong Lee Jooho Lee Luong Vuong Nguyen O-Joun Lee 22 8 0 31 Aug 2023
Knowledge Graph Embedding with Electronic Health Records Data via Latent Graphical Block Model Junwei Lu Jin Yin Tianxi Cai 31 3 0 31 May 2023
Extracting Diagnosis Pathways from Electronic Health Records Using Deep Reinforcement Learning Lillian Muyama A. Neuraz Adrien Coulet 8 0 0 10 May 2023
Filling out the missing gaps: Time Series Imputation with Semi-Supervised Learning Karan Aggarwal Jaideep Srivastava AI4TS 30 0 0 09 Apr 2023
EDEN : An Event DEtection Network for the annotation of Breast Cancer recurrences in administrative claims data Elise Dumas A. Hamy S. Houzard Eva Hernandez A. Toussaint ... M. Saint-Ghislain B. Grandal Eric Daoud F. Reyal Chloé-Agathe Azencott OOD 13 2 0 15 Nov 2022
DynImp: Dynamic Imputation for Wearable Sensing Data Through Sensory and Temporal Relatedness Zepeng Huo Taowei Ji Yi Liang Shuai Huang Zhangyang Wang Xiaoning Qian Bobak J. Mortazavi AI4TS 41 1 0 26 Sep 2022
Modeling electronic health record data using a knowledge-graph-embedded topic model Yuesong Zou Ahmad Pesaranghader Aman Verma David L. Buckeridge Yue Li 22 1 0 03 Jun 2022
Robustness Testing of Data and Knowledge Driven Anomaly Detection in Cyber-Physical Systems Xugui Zhou Maxfield Kouzel H. Alemzadeh OOD AAML 8 13 0 20 Apr 2022
Task-Synchronized Recurrent Neural Networks Mantas Lukovsevivcius Arnas Uselis AI4TS 30 2 0 11 Apr 2022
On Principal Curve-Based Classifiers and Similarity-Based Selective Sampling in Time-Series Aref Hakimzadeh K. Ziarati M. Taheri AI4TS 13 0 0 10 Apr 2022
Multi-Task Prediction of Clinical Outcomes in the Intensive Care Unit using Flexible Multimodal Transformers B. Shickel P. Tighe A. Bihorac Parisa Rashidi 19 5 0 09 Nov 2021
Cardiac Complication Risk Profiling for Cancer Survivors via Multi-View Multi-Task Learning Thai-Hoang Pham Changchang Yin L. Mehta Xueru Zhang Ping Zhang 6 8 0 25 Sep 2021
Machine Learning with Electronic Health Records is vulnerable to Backdoor Trigger Attacks Byunggill Joe Akshay Mehra I. Shin Jihun Hamm 14 9 0 15 Jun 2021
MUFASA: Multimodal Fusion Architecture Search for Electronic Health Records Zhen Xu David R. So Andrew M. Dai Mamba 58 51 0 03 Feb 2021
Heterogeneous Similarity Graph Neural Network on Electronic Health Records Zheng Liu Xiaohan Li Hao Peng Lifang He Philip S. Yu 27 64 0 17 Jan 2021
Demand Forecasting for Platelet Usage: from Univariate Time Series to Multivariate Models M. Motamedi Jessica Dawson Na Li D. Down N. Heddle AI4TS 21 20 0 06 Jan 2021
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data Chenxi Sun linda Qiao Moxian Song Hongyan Li AI4TS OOD 28 56 0 23 Oct 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Chacha Chen Junjie Liang Fenglong Ma Lucas Glass Jimeng Sun Cao Xiao 19 26 0 22 Oct 2020
A Dynamic Deep Neural Network For Multimodal Clinical Data Analysis Maria Hügle Gabriel Kalweit T. Huegle Joschka Boedecker BDL 11 20 0 14 Aug 2020
HOLMES: Health OnLine Model Ensemble Serving for Deep Learning Models in Intensive Care Units linda Qiao Yanbo Xu Alind Khare Satria Priambada K. Maher Alaa Aljiffry Jimeng Sun Alexey Tumanov OOD 15 84 0 10 Aug 2020
Anomaly Detection at Scale: The Case for Deep Distributional Time Series Models Fadhel Ayed Lorenzo Stella Tim Januschowski Jan Gasthaus AI4TS 40 10 0 30 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 19 17 0 14 Jul 2020
A Visual Analytics System for Multi-model Comparison on Clinical Data Predictions Yiran Li Takanori Fujiwara Y. Choi Katherine K. Kim K. Ma OOD 24 27 0 18 Feb 2020
Anomaly Detection using Deep Autoencoders for in-situ Wastewater Systems Monitoring Data S. Russo Andy Disch F. Blumensaat K. Villez 4 30 0 07 Feb 2020
Tensor Graph Convolutional Networks for Text Classification Xien Liu Xinxin You Xiao Zhang Ji Wu Ping Lv GNN 24 244 0 12 Jan 2020
A Deep Learning Approach to Diagnosing Multiple Sclerosis from Smartphone Data Patrick Schwab W. Karlen 38 24 0 02 Jan 2020
Medi-Care AI: Predicting Medications From Billing Codes via Robust Recurrent Neural Networks Deyin Liu Lin Wu Xue Li 37 17 0 14 Nov 2019
On Generalization Bounds of a Family of Recurrent Neural Networks Minshuo Chen Xingguo Li T. Zhao 19 70 0 28 Oct 2019
Graph Spectral Embedding for Parsimonious Transmission of Multivariate Time Series Lihan Yao Paul Bendich AI4TS 16 0 0 10 Oct 2019
Leveraging Implicit Expert Knowledge for Non-Circular Machine Learning in Sepsis Prediction Shigehiko Schamoni H. Lindner Verena Schneider-Lindner M. Thiel Stefan Riezler 16 23 0 20 Sep 2019
Representation Learning for Electronic Health Records W. Weng Peter Szolovits 30 19 0 19 Sep 2019
MIMIC-Extract: A Data Extraction, Preprocessing, and Representation Pipeline for MIMIC-III Shirly Wang Matthew B. A. McDermott Geeticka Chauhan Michael C. Hughes Tristan Naumann Marzyeh Ghassemi 25 205 0 19 Jul 2019
GluonCV and GluonNLP: Deep Learning in Computer Vision and Natural Language Processing Jian Guo He He Tong He Leonard Lausen Mu Li ... Hang Zhang Zhi-Li Zhang Zhongyue Zhang Shuai Zheng Yi Zhu VLM BDL 29 194 0 09 Jul 2019
Learning to Identify Patients at Risk of Uncontrolled Hypertension Using Electronic Health Records Data R. Mohammadi Sarthak Jain S. Agboola R. Palacholla S. Kamarthi Byron C. Wallace OOD 16 12 0 28 Jun 2019
Learning the Graphical Structure of Electronic Health Records with Graph Convolutional Transformer Edward Choi Zhen Xu Yujia Li Michael W. Dusenberry Gerardo Flores Yuan Xue Andrew M. Dai MedIm 21 238 0 11 Jun 2019
Exploring Interpretable LSTM Neural Networks over Multi-Variable Data Tian Guo Tao R. Lin Nino Antulov-Fantulin AI4TS 26 154 0 28 May 2019
FORECAST-CLSTM: A New Convolutional LSTM Network for Cloudage Nowcasting Chao Tan Xin Feng Jianwu Long Li Geng 10 15 0 19 May 2019
GP-HD: Using Genetic Programming to Generate Dynamical Systems Models for Health Care Mark Hoogendoorn W. V. Breda Jeroen Ruwaard SyDa 6 0 0 11 Apr 2019
Transfer Learning for Clinical Time Series Analysis using Deep Neural Networks Priyanka Gupta Pankaj Malhotra Jyoti Narwariya L. Vig Gautam M. Shroff AI4TS 27 61 0 01 Apr 2019
Automatic Detection of Cortical Arousals in Sleep and their Contribution to Daytime Sleepiness A. Brink-Kjaer A. N. Olesen P. Peppard K. Stone P. Jennum Emmanuel Mignot H. Sørensen 24 16 0 15 Mar 2019
A Self-Correcting Deep Learning Approach to Predict Acute Conditions in Critical Care Ziyuan Pan Hao Du K. Ngiam Fei Wang Ping Shum Mengling Feng 9 12 0 14 Jan 2019
Sales Demand Forecast in E-commerce using a Long Short-Term Memory Neural Network Methodology Kasun Bandara Peibei Shi Christoph Bergmeir Hansika Hewamalage Quoc-Huy Tran Brian Seaman AI4TS 22 146 0 13 Jan 2019