Integrated Convolutional and Recurrent Neural Networks for Health Risk
Prediction using Patient Journey Data with Many Missing Values

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Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values

11 November 2022

Antonio Jimeno Yepes

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Papers citing "Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values"

14 / 14 papers shown

Title
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing Changchang Yin Ruoqi Liu Bingsheng Yao Dongdong Zhang Jeffrey Caterino Ping Zhang 73 42 0 24 Jul 2024
Modeling Long-term Dependencies and Short-term Correlations in Patient Journey Data with Temporal Attention Networks for Health Prediction Yuxi Liu Zhenhao Zhang Antonio Jimeno Yepes Flora D. Salim 47 12 0 13 Jul 2022
AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units Yilmazcan Ozyurt Mathias Kraus Tobias Hatt Stefan Feuerriegel 64 34 0 09 Feb 2021
A Knowledge Distillation Ensemble Framework for Predicting Short and Long-term Hospitalisation Outcomes from Electronic Health Records Data Zina M. Ibrahim D. Bean Thomas Searle Honghan Wu Anthony Shek Z. Kraljevic J. Galloway S. Norton J. Teo Richard J. B. Dobson 18 18 0 18 Nov 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 99 163 0 06 Oct 2020
ELMV: an Ensemble-Learning Approach for Analyzing Electrical Health Records with Significant Missing Values L. J. Liu Hongwei Zhang Jianzhong Di Jin Chen 19 2 0 25 Jun 2020
Benchmarking machine learning models on multi-centre eICU critical care dataset Seyedmostafa Sheikhalishahi Vevake Balaraman V. Osmani OOD 33 73 0 02 Oct 2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 3DH 62 148 0 13 Sep 2019
Inpatient2Vec: Medical Representation Learning for Inpatients Ying Wang Xiao Xu Tao Jin Xiang Li Guotong Xie Jianmin Wang AI4TS 120 21 0 18 Apr 2019
BRITS: Bidirectional Recurrent Imputation for Time Series Wei Cao Dong Wang Jian Li Hao Zhou Lei Li Yitan Li AI4TS 53 623 0 27 May 2018
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 186 881 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 108 2,020 0 21 Mar 2017
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 310 1,945 0 06 Jun 2016
Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation Kyunghyun Cho B. V. Merrienboer Çağlar Gülçehre Dzmitry Bahdanau Fethi Bougares Holger Schwenk Yoshua Bengio AIMat 1.1K 23,370 0 03 Jun 2014