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

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

9 February 2021

Yilmazcan Ozyurt

Mathias Kraus

Stefan Feuerriegel

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

9 / 9 papers shown

Title
Stabilized Neural Prediction of Potential Outcomes in Continuous Time Konstantin Hess Stefan Feuerriegel 32 0 0 04 Oct 2024
Estimating Treatment Effects in Continuous Time with Hidden Confounders Defu Cao James Enouen Y. Liu CML 24 2 0 19 Feb 2023
Integrated Convolutional and Recurrent Neural Networks for Health Risk Prediction using Patient Journey Data with Many Missing Values Yuxi Liu S. Qin Antonio Jimeno Yepes Wei Shao Zhenhao Zhang Flora D. Salim 22 3 0 11 Nov 2022
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 8 10 0 13 Jul 2022
Contrastive Learning for Unsupervised Domain Adaptation of Time Series Yilmazcan Ozyurt Stefan Feuerriegel Ce Zhang AI4TS 21 44 0 13 Jun 2022
Learning Optimal Dynamic Treatment Regimes Using Causal Tree Methods in Medicine Theresa Blümlein Joel Persson Stefan Feuerriegel CML 11 11 0 14 Apr 2022
Combining Observational and Randomized Data for Estimating Heterogeneous Treatment Effects Tobias Hatt Jeroen Berrevoets Alicia Curth Stefan Feuerriegel M. Schaar CML 36 29 0 25 Feb 2022
Estimating Average Treatment Effects via Orthogonal Regularization Tobias Hatt Stefan Feuerriegel CML 148 35 0 21 Jan 2021
Recurrent Neural Networks for Multivariate Time Series with Missing Values Zhengping Che S. Purushotham Kyunghyun Cho David Sontag Yan Liu AI4TS 205 1,892 0 06 Jun 2016