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Sparse Multi-Output Gaussian Processes for Medical Time Series
  Prediction
v1v2 (latest)

Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction

27 March 2017
Li-Fang Cheng
Gregory Darnell
Bianca Dumitrascu
C. Chivers
Michael Draugelis
Kai Li
Barbara E. Engelhardt
ArXiv (abs)PDFHTMLGithub (29★)

Papers citing "Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction"

19 / 19 papers shown
Data-Driven Simulator for Mechanical Circulatory Support with Domain
  Adversarial Neural Process
Data-Driven Simulator for Mechanical Circulatory Support with Domain Adversarial Neural Process
S. Sun
Wenyuan Chen
Zihao Zhou
Sonia Fereidooni
Elise Jortberg
Rose Yu
AI4CE
302
3
0
28 May 2024
Clairvoyance: A Pipeline Toolkit for Medical Time Series
Clairvoyance: A Pipeline Toolkit for Medical Time SeriesInternational Conference on Learning Representations (ICLR), 2023
Daniel Jarrett
Chang Jo Kim
Ioana Bica
Zhaozhi Qian
A. Ercole
M. Schaar
AI4TS
348
42
0
28 Oct 2023
Deep Kernel Learning for Mortality Prediction in the Face of Temporal
  Shift
Deep Kernel Learning for Mortality Prediction in the Face of Temporal ShiftConference on Artificial Intelligence in Medicine in Europe (AIME), 2022
Miguel Rios
A. Abu-Hanna
OOD
232
2
0
01 Dec 2022
Gaussian Process Regression with Local Explanation
Gaussian Process Regression with Local Explanation
Yuya Yoshikawa
Tomoharu Iwata
FAtt
263
26
0
03 Jul 2020
Continual Multi-task Gaussian Processes
Continual Multi-task Gaussian Processes
P. Moreno-Muñoz
A. Artés-Rodríguez
Mauricio A. Alvarez
201
13
0
31 Oct 2019
Nonstationary Multivariate Gaussian Processes for Electronic Health
  Records
Nonstationary Multivariate Gaussian Processes for Electronic Health RecordsJournal of Biomedical Informatics (JBI), 2019
Rui Meng
Braden C. Soper
Herbert Lee
Vincent X. Liu
John D Greene
Priyadip Ray
164
12
0
13 Oct 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for
  Reconstruction of Reproductive Hormonal Dynamics
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal DynamicsMachine Learning in Health Care (MLHC), 2019
Iñigo Urteaga
Tristan Bertin
Theresa M. Hardy
D. Albers
Noémie Elhadad
AI4TSAI4CE
114
5
0
27 Aug 2019
Patient-Specific Effects of Medication Using Latent Force Models with
  Gaussian Processes
Patient-Specific Effects of Medication Using Latent Force Models with Gaussian ProcessesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2019
Li-Fang Cheng
Bianca Dumitrascu
M. Zhang
C. Chivers
Michael Draugelis
Kai Li
Barbara E. Engelhardt
152
10
0
01 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time seriesNeural Information Processing Systems (NeurIPS), 2019
E. Brouwer
Jaak Simm
Adam Arany
Yves Moreau
SyDaCMLAI4TS
493
369
0
29 May 2019
Sequential Gaussian Processes for Online Learning of Nonstationary
  Functions
Sequential Gaussian Processes for Online Learning of Nonstationary FunctionsIEEE Transactions on Signal Processing (IEEE Trans. Signal Process.), 2019
M. Zhang
Bianca Dumitrascu
Sinead Williamson
Barbara E. Engelhardt
755
10
0
24 May 2019
An Optimal Policy for Patient Laboratory Tests in Intensive Care Units
An Optimal Policy for Patient Laboratory Tests in Intensive Care Units
Li-Fang Cheng
Niranjani Prasad
Barbara E. Engelhardt
OffRL
140
32
0
14 Aug 2018
Deep Mixed Effect Model using Gaussian Processes: A Personalized and
  Reliable Prediction for Healthcare
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
BDLFedML
282
21
0
05 Jun 2018
Product Kernel Interpolation for Scalable Gaussian Processes
Product Kernel Interpolation for Scalable Gaussian Processes
Jacob R. Gardner
Geoff Pleiss
Ruihan Wu
Kilian Q. Weinberger
A. Wilson
187
83
0
24 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical
  Care
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care
Patrick Schwab
E. Keller
C. Muroi
David J. Mack
C. Strässle
W. Karlen
281
23
0
14 Feb 2018
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments
  with Mechanistic Models and Gaussian Processes
Towards Personalized Modeling of the Female Hormonal Cycle: Experiments with Mechanistic Models and Gaussian Processes
Iñigo Urteaga
D. Albers
M. V. Wheeler
Anna Druet
Hans Raffauf
Noémie Elhadad
OOD
122
5
0
30 Nov 2017
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
Joseph D. Futoma
S. Hariharan
M. Sendak
Nathan Brajer
M. Clement
A. Bedoya
Cara O'Brien
Katherine A. Heller
226
138
0
19 Aug 2017
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation
  in Intensive Care Units
A Reinforcement Learning Approach to Weaning of Mechanical Ventilation in Intensive Care Units
Niranjani Prasad
Li-Fang Cheng
C. Chivers
Michael Draugelis
Barbara E. Engelhardt
OffRL
243
187
0
20 Apr 2017
Fast multi-output relevance vector regression
Fast multi-output relevance vector regression
Youngmin Ha
212
19
0
17 Apr 2017
Reliable Decision Support using Counterfactual Models
Reliable Decision Support using Counterfactual Models
Peter F. Schulam
Suchi Saria
CMLOffRLOOD
407
8
0
30 Mar 2017
1
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