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1708.05894
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An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection
19 August 2017
Joseph D. Futoma
S. Hariharan
M. Sendak
Nathan Brajer
M. Clement
A. Bedoya
Cara O'Brien
Katherine A. Heller
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Papers citing
"An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection"
37 / 37 papers shown
Title
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NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients
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SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction
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Task-Synchronized Recurrent Neural Networks
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Arnas Uselis
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Semi-Markov Offline Reinforcement Learning for Healthcare
Mehdi Fatemi
Mary Wu
J. Petch
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S. Connolly
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Marzyeh Ghassemi
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17 Mar 2022
Medical Dead-ends and Learning to Identify High-risk States and Treatments
Mehdi Fatemi
Taylor W. Killian
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08 Oct 2021
S-LIME: Stabilized-LIME for Model Explanation
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Giles Hooker
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Measuring the robustness of Gaussian processes to kernel choice
William T. Stephenson
S. Ghosh
Tin D. Nguyen
Mikhail Yurochkin
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Tamara Broderick
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35
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11 Jun 2021
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards
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Marianne Johansson Jørgensen
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J. Weile
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26 Jan 2021
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders
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18 Dec 2020
Concept-based model explanations for Electronic Health Records
Diana Mincu
Eric Loreaux
Shaobo Hou
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Ivan V. Protsyuk
Martin G. Seneviratne
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Nenad Tomašev
Alan Karthikesanlingam
Jessica Schrouff
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Surgical Data Science -- from Concepts toward Clinical Translation
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Matthias Eisenmann
Duygu Sarikaya
Keno Marz
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Beat P. Müller-Stich
Pierre Jannin
Stefanie Speidel
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UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
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Junjie Liang
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A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
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Bret A. Nestor
Evan Kim
Wancong Zhang
Anna Goldenberg
Peter Szolovits
Marzyeh Ghassemi Csail
AI4TS
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20 Jul 2020
Consistent Estimators for Learning to Defer to an Expert
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David Sontag
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02 Jun 2020
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction
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Benjamin M. Marlin
47
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Explainable artificial intelligence model to predict acute critical illness from electronic health records
S. Lauritsen
Mads Kristensen
Mathias Vassard Olsen
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Marianne Johansson Jørgensen
Jeppe Lange
B. Thiesson
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03 Dec 2019
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
M. Sendak
M. C. Elish
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Joseph D. Futoma
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S. Balu
Cara O'Brien
HAI
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19 Nov 2019
Nonstationary Multivariate Gaussian Processes for Electronic Health Records
Rui Meng
Braden C. Soper
Herbert Lee
Vincent X. Liu
John D Greene
Priyadip Ray
58
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13 Oct 2019
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis
Margherita Rosnati
Vincent Fortuin
115
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27 Sep 2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
3DH
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148
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13 Sep 2019
Early detection of sepsis utilizing deep learning on electronic health record event sequences
S. Lauritsen
M. E. Kalør
Emil Lund Kongsgaard
K. M. Lauritsen
Marianne Johansson Jørgensen
Jeppe Lange
B. Thiesson
68
137
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07 Jun 2019
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions
Gal Levy-Fix
G. Kuperman
Noémie Elhadad
51
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06 Jun 2019
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian Processes
Li-Fang Cheng
Bianca Dumitrascu
M. Zhang
C. Chivers
Michael Draugelis
Kai Li
Barbara E. Engelhardt
54
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01 Jun 2019
Sequential Gaussian Processes for Online Learning of Nonstationary Functions
M. Zhang
Bianca Dumitrascu
Sinead Williamson
Barbara E. Engelhardt
51
8
0
24 May 2019
Temporal-Clustering Invariance in Irregular Healthcare Time Series
M. T. Bahadori
Zachary Chase Lipton
AI4TS
74
30
0
27 Apr 2019
Early Recognition of Sepsis with Gaussian Process Temporal Convolutional Networks and Dynamic Time Warping
Michael Moor
Max Horn
Bastian Rieck
D. Roqueiro
Karsten Borgwardt
40
14
0
05 Feb 2019
Dynamic Measurement Scheduling for Event Forecasting using Deep RL
C. Chang
Mingjie Mai
Anna Goldenberg
OffRL
78
19
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24 Jan 2019
Modeling Irregularly Sampled Clinical Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
77
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03 Dec 2018
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL
C. Chang
Mingjie Mai
Anna Goldenberg
OffRL
58
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01 Dec 2018
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms
Adarsh Subbaswamy
Suchi Saria
OOD
65
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09 Aug 2018
Deep Mixed Effect Model using Gaussian Processes: A Personalized and Reliable Prediction for Healthcare
Ingyo Chung
Saehoon Kim
Juho Lee
Kwang Joon Kim
Sung Ju Hwang
Eunho Yang
BDL
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82
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05 Jun 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
92
132
0
07 Feb 2018
Dropout Feature Ranking for Deep Learning Models
C. Chang
Ladislav Rampášek
Anna Goldenberg
OOD
73
50
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22 Dec 2017
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