AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive
Care Units

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AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units

9 February 2021

Yilmazcan Ozyurt

Mathias Kraus

Stefan Feuerriegel

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Papers citing "AttDMM: An Attentive Deep Markov Model for Risk Scoring in Intensive Care Units"

19 / 19 papers shown

Title
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 154 0 0 04 Oct 2024
SepsisLab: Early Sepsis Prediction with Uncertainty Quantification and Active Sensing Changchang Yin Ruoqi Liu Bingsheng Yao Dongdong Zhang Jeffrey Caterino Ping Zhang 76 42 0 24 Jul 2024
Sequential Deconfounding for Causal Inference with Unobserved Confounders Tobias Hatt Stefan Feuerriegel CML 86 29 0 16 Apr 2021
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 207 36 0 21 Jan 2021
Estimating Risk-Adjusted Hospital Performance E. van Weenen Stefan Feuerriegel CML 29 3 0 10 Nov 2020
Patient Similarity Analysis with Longitudinal Health Data Ahmed Allam Matthias Dittberner A. Sintsova D. Brodbeck Michael Krauthammer 104 14 0 14 May 2020
Hierarchical Hidden Markov Jump Processes for Cancer Screening Modeling Rui Meng Soper Braden J. Nygård Mari Nygrad Herbert Lee 36 2 0 13 Oct 2019
Modeling Irregularly Sampled Clinical Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 58 8 0 03 Dec 2018
Deep Ensemble Tensor Factorization for Longitudinal Patient Trajectories Classification E. Brouwer Jaak Simm Adam Arany Yves Moreau 66 6 0 26 Nov 2018
Benchmark of Deep Learning Models on Large Healthcare MIMIC Datasets S. Purushotham Chuizheng Meng Zhengping Che Yan Liu OOD AI4MH VLM 67 82 0 23 Oct 2017
Dipole: Diagnosis Prediction in Healthcare via Attention-based Bidirectional Recurrent Neural Networks Fenglong Ma Radha Chitta Jing Zhou Quanzeng You Tong Sun Jing Gao 60 558 0 19 Jun 2017
Individualized Risk Prognosis for Critical Care Patients: A Multi-task Gaussian Process Model Ahmed Alaa Jinsung Yoon Scott Hu M. Schaar 51 3 0 22 May 2017
Multitask learning and benchmarking with clinical time series data Hrayr Harutyunyan Hrant Khachatrian David C. Kale Greg Ver Steeg Aram Galstyan OOD AI4TS 200 883 0 22 Mar 2017
Personalized Risk Scoring for Critical Care Prognosis using Mixtures of Gaussian Processes Ahmed Alaa Jinsung Yoon Scott Hu Mihaela van der Schaar 51 60 0 27 Oct 2016
Structured Inference Networks for Nonlinear State Space Models Rahul G. Krishnan Uri Shalit David Sontag BDL 96 459 0 30 Sep 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 125 1,250 0 19 Aug 2016
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 319 1,951 0 06 Jun 2016
Medical Concept Representation Learning from Electronic Health Records and its Application on Heart Failure Prediction Edward Choi A. Schuetz Walter F. Stewart Jimeng Sun 78 138 0 11 Feb 2016
Black Box Variational Inference Rajesh Ranganath S. Gerrish David M. Blei DRL BDL 153 1,167 0 31 Dec 2013