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  4. Cited By
An Improved Multi-Output Gaussian Process RNN with Real-Time Validation
  for Early Sepsis Detection

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
ArXivPDFHTML

Papers citing "An Improved Multi-Output Gaussian Process RNN with Real-Time Validation for Early Sepsis Detection"

12 / 12 papers shown
Title
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset
  Prediction in ICU Trauma Patients
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma Patients
Tucker Stewart
Katherine Stern
G. O’Keefe
Ankur Teredesai
Juhua Hu
19
0
0
25 Apr 2023
Development and Validation of ML-DQA -- a Machine Learning Data Quality
  Assurance Framework for Healthcare
Development and Validation of ML-DQA -- a Machine Learning Data Quality Assurance Framework for Healthcare
M. Sendak
Gaurav Sirdeshmukh
Timothy N. Ochoa
Hayley Premo
Linda Tang
...
M. Nichols
Bradley Heintze
William S Knechtle
W. Ratliff
S. Balu
18
6
0
04 Aug 2022
Task-Synchronized Recurrent Neural Networks
Task-Synchronized Recurrent Neural Networks
Mantas Lukovsevivcius
Arnas Uselis
AI4TS
30
2
0
11 Apr 2022
Medical Dead-ends and Learning to Identify High-risk States and
  Treatments
Medical Dead-ends and Learning to Identify High-risk States and Treatments
Mehdi Fatemi
Taylor W. Killian
J. Subramanian
Marzyeh Ghassemi
OffRL
30
37
0
08 Oct 2021
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced
  Data
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data
Chacha Chen
Junjie Liang
Fenglong Ma
Lucas Glass
Jimeng Sun
Cao Xiao
21
26
0
22 Oct 2020
A Comprehensive Evaluation of Multi-task Learning and Multi-task
  Pre-training on EHR Time-series Data
A Comprehensive Evaluation of Multi-task Learning and Multi-task Pre-training on EHR Time-series Data
Matthew B. A. McDermott
Bret A. Nestor
Evan Kim
Wancong Zhang
Anna Goldenberg
Peter Szolovits
Marzyeh Ghassemi Csail
AI4TS
22
15
0
20 Jul 2020
"The Human Body is a Black Box": Supporting Clinical Decision-Making
  with Deep Learning
"The Human Body is a Black Box": Supporting Clinical Decision-Making with Deep Learning
M. Sendak
M. C. Elish
M. Gao
Joseph D. Futoma
W. Ratliff
M. Nichols
A. Bedoya
S. Balu
Cara O'Brien
HAI
19
167
0
19 Nov 2019
Early detection of sepsis utilizing deep learning on electronic health
  record event sequences
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
19
135
0
07 Jun 2019
Machine Learning and Visualization in Clinical Decision Support: Current
  State and Future Directions
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions
Gal Levy-Fix
G. Kuperman
Noémie Elhadad
21
12
0
06 Jun 2019
Modeling Irregularly Sampled Clinical Time Series
Modeling Irregularly Sampled Clinical Time Series
Satya Narayan Shukla
Benjamin M. Marlin
AI4TS
24
8
0
03 Dec 2018
DeepHeart: Semi-Supervised Sequence Learning for Cardiovascular Risk
  Prediction
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
28
129
0
07 Feb 2018
Recurrent Neural Networks for Multivariate Time Series with Missing
  Values
Recurrent Neural Networks for Multivariate Time Series with Missing Values
Zhengping Che
S. Purushotham
Kyunghyun Cho
David Sontag
Yan Liu
AI4TS
246
1,900
0
06 Jun 2016
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