Sparse Multi-Output Gaussian Processes for Medical Time Series
Prediction

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Sparse Multi-Output Gaussian Processes for Medical Time Series Prediction

27 March 2017

Gregory Darnell

Bianca Dumitrascu

Michael Draugelis

Barbara E. Engelhardt

ArXiv (abs)PDF HTML Github (29★)

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

16 / 16 papers shown

Title
Clairvoyance: A Pipeline Toolkit for Medical Time Series Daniel Jarrett Jinsung Yoon Ioana Bica Zhaozhi Qian A. Ercole M. Schaar AI4TS 87 36 0 28 Oct 2023
Deep Kernel Learning for Mortality Prediction in the Face of Temporal Shift Miguel Rios A. Abu-Hanna OOD 56 1 0 01 Dec 2022
Gaussian Process Regression with Local Explanation Yuya Yoshikawa Tomoharu Iwata FAtt 40 20 0 03 Jul 2020
Continual Multi-task Gaussian Processes P. Moreno-Muñoz A. Artés-Rodríguez Mauricio A. Alvarez 80 13 0 31 Oct 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 12 0 13 Oct 2019
Multi-Task Gaussian Processes and Dilated Convolutional Networks for Reconstruction of Reproductive Hormonal Dynamics Iñigo Urteaga Tristan Bertin Theresa M. Hardy D. Albers Noémie Elhadad AI4TS AI4CE 18 5 0 27 Aug 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 9 0 01 Jun 2019
GRU-ODE-Bayes: Continuous modeling of sporadically-observed time series E. Brouwer Jaak Simm Adam Arany Yves Moreau SyDa CML AI4TS 106 303 0 29 May 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
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 FedML 82 16 0 05 Jun 2018
Product Kernel Interpolation for Scalable Gaussian Processes Jacob R. Gardner Geoff Pleiss Ruihan Wu Kilian Q. Weinberger A. Wilson 80 74 0 24 Feb 2018
Not to Cry Wolf: Distantly Supervised Multitask Learning in Critical Care Patrick Schwab E. Keller C. Muroi David J. Mack C. Strässle W. Karlen 69 23 0 14 Feb 2018
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 65 127 0 19 Aug 2017
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 77 170 0 20 Apr 2017
Fast multi-output relevance vector regression Youngmin Ha 71 16 0 17 Apr 2017
Reliable Decision Support using Counterfactual Models Peter F. Schulam Suchi Saria CML OffRL OOD 113 8 0 30 Mar 2017