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

19 August 2017

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

37 / 37 papers shown

Title
Know Thy Neighbors: A Graph Based Approach for Effective Sensor-Based Human Activity Recognition in Smart Homes P. Srivatsa Thomas Plötz GNN 50 2 0 16 Nov 2023
Pruning the Way to Reliable Policies: A Multi-Objective Deep Q-Learning Approach to Critical Care Ali Shirali Alexander Schubert Ahmed Alaa OffRL 80 4 0 13 Jun 2023
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 26 0 0 25 Apr 2023
ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data Ronald Moore Rishikesan Kamaleswaran AI4CE 100 0 0 13 Dec 2022
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 44 6 0 04 Aug 2022
SurvLatent ODE : A Neural ODE based time-to-event model with competing risks for longitudinal data improves cancer-associated Venous Thromboembolism (VTE) prediction I. Moon S. Groha A. Gusev BDL 71 11 0 20 Apr 2022
Task-Synchronized Recurrent Neural Networks Mantas Lukovsevivcius Arnas Uselis AI4TS 58 2 0 11 Apr 2022
Semi-Markov Offline Reinforcement Learning for Healthcare Mehdi Fatemi Mary Wu J. Petch Walter Nelson S. Connolly Alexander Benz A. Carnicelli Marzyeh Ghassemi OffRL 66 14 0 17 Mar 2022
Medical Dead-ends and Learning to Identify High-risk States and Treatments Mehdi Fatemi Taylor W. Killian J. Subramanian Marzyeh Ghassemi OffRL 94 40 0 08 Oct 2021
S-LIME: Stabilized-LIME for Model Explanation Zhengze Zhou Giles Hooker Fei Wang FAtt 157 92 0 15 Jun 2021
Measuring the robustness of Gaussian processes to kernel choice William T. Stephenson S. Ghosh Tin D. Nguyen Mikhail Yurochkin Sameer K. Deshpande Tamara Broderick GP 35 11 0 11 Jun 2021
The Consequences of the Framing of Machine Learning Risk Prediction Models: Evaluation of Sepsis in General Wards S. Lauritsen B. Thiesson Marianne Johansson Jørgensen A. Riis U. Espelund J. Weile Jeppe Lange 62 3 0 26 Jan 2021
EVA: Generating Longitudinal Electronic Health Records Using Conditional Variational Autoencoders Siddharth Biswal S. Ghosh J. Duke B. Malin Walter F. Stewart Jimeng Sun SyDa BDL DRL 121 41 0 18 Dec 2020
Concept-based model explanations for Electronic Health Records Diana Mincu Eric Loreaux Shaobo Hou Sebastien Baur Ivan V. Protsyuk Martin G. Seneviratne A. Mottram Nenad Tomašev Alan Karthikesanlingam Jessica Schrouff 65 28 0 03 Dec 2020
Surgical Data Science -- from Concepts toward Clinical Translation Lena Maier-Hein Matthias Eisenmann Duygu Sarikaya Keno Marz Toby Collins ... D. Teber F. Uckert Beat P. Müller-Stich Pierre Jannin Stefanie Speidel AI4CE 86 232 0 30 Oct 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Chacha Chen Junjie Liang Fenglong Ma Lucas Glass Jimeng Sun Cao Xiao 71 26 0 22 Oct 2020
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 69 16 0 20 Jul 2020
Consistent Estimators for Learning to Defer to an Expert Hussein Mozannar David Sontag 91 205 0 02 Jun 2020
Integrating Physiological Time Series and Clinical Notes with Deep Learning for Improved ICU Mortality Prediction Satya Narayan Shukla Benjamin M. Marlin 47 12 0 24 Mar 2020
Explainable artificial intelligence model to predict acute critical illness from electronic health records S. Lauritsen Mads Kristensen Mathias Vassard Olsen Morten Skaarup Larsen K. M. Lauritsen Marianne Johansson Jørgensen Jeppe Lange B. Thiesson 65 304 0 03 Dec 2019
"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 73 170 0 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 12 0 13 Oct 2019
MGP-AttTCN: An Interpretable Machine Learning Model for the Prediction of Sepsis Margherita Rosnati Vincent Fortuin 115 35 0 27 Sep 2019
Interpolation-Prediction Networks for Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 3DH 84 148 0 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 0 07 Jun 2019
Machine Learning and Visualization in Clinical Decision Support: Current State and Future Directions Gal Levy-Fix G. Kuperman Noémie Elhadad 51 12 0 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 9 0 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 0 24 Jan 2019
Modeling Irregularly Sampled Clinical Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 77 8 0 03 Dec 2018
Dynamic Measurement Scheduling for Adverse Event Forecasting using Deep RL C. Chang Mingjie Mai Anna Goldenberg OffRL 58 5 0 01 Dec 2018
Counterfactual Normalization: Proactively Addressing Dataset Shift and Improving Reliability Using Causal Mechanisms Adarsh Subbaswamy Suchi Saria OOD 65 25 0 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 FedML 82 16 0 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 0 22 Dec 2017