Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier

International Conference on Machine Learning (ICML), 2017

13 June 2017

Papers citing "Learning to Detect Sepsis with a Multitask Gaussian Process RNN Classifier"

50 / 74 papers shown

Title
Optimal Look-back Horizon for Time Series Forecasting in Federated Learning Dahao Tang Nan Yang Yanli Li Zhiyu Zhu Zhibo Jin Dong Yuan AI4TS FedML 419 0 0 16 Nov 2025
SurvBench: A Standardised Preprocessing Pipeline for Multi-Modal Electronic Health Record Survival Analysis Munib Mesinovic Tingting Zhu 132 0 0 14 Nov 2025
Data reuse enables cost-efficient randomized trials of medical AI models Michael Nercessian Wenxin Zhang Alexander Schubert Daphne Yang Maggie Chung Ahmed Alaa Adam Yala 134 0 0 12 Nov 2025
Learning to Decouple Complex SystemsInternational Conference on Machine Learning (ICML), 2023 Zihan Zhou Tianshu Yu BDL 322 4 0 17 Feb 2025
MUSE-Net: Missingness-aware mUlti-branching Self-attention Encoder for Irregular Longitudinal Electronic Health Records Zekai Wang Tieming Liu B. Yao 521 2 0 30 Jun 2024
Predicting Solar Heat Production to Optimize Renewable Energy UsageEuropean Conference on Artificial Intelligence (ECAI), 2024 Tatiana Boura Natalia Koliou George Meramveliotakis S. Konstantopoulos G. Kosmadakis 109 3 0 16 May 2024
Integration of Federated Learning and Blockchain in Healthcare: A Tutorial Yahya Shahsavari O. A. Dambri Yaser Baseri A. Hafid Dimitrios Makrakis OOD 273 7 0 15 Apr 2024
Sequential Inference of Hospitalization Electronic Health Records Using Probabilistic Models Alan Kaplan Priyadip Ray John D Greene Vincent X. Liu 182 0 0 27 Mar 2024
Dynamic Survival Analysis for Early Event Prediction Hugo Yèche Manuel Burger Dinara Veshchezerova Gunnar Rätsch 163 6 0 19 Mar 2024
Augmenting Ground-Level PM2.5 Prediction via Kriging-Based Pseudo-Label Generation Lei Duan Ziyang Jiang David Carlson 114 0 0 16 Jan 2024
Self Attention with Temporal Prior: Can We Learn More from Arrow of Time? Kyung Geun Kim Byeong Tak Lee AI4TS 164 1 0 29 Oct 2023
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 221 40 0 28 Oct 2023
Time-Parameterized Convolutional Neural Networks for Irregularly Sampled Time Series Chrysoula Kosma Giannis Nikolentzos Michalis Vazirgiannis AI4TS 185 5 0 06 Aug 2023
Explaining a machine learning decision to physicians via counterfactualsACM Conference on Health, Inference, and Learning (CHIL), 2023 Supriya Nagesh Nina Mishra Yonatan Naamad James M. Rehg M. A. Shah Alexei Wagner CML OOD 188 9 0 10 Jun 2023
NPRL: Nightly Profile Representation Learning for Early Sepsis Onset Prediction in ICU Trauma PatientsBigData Congress [Services Society] (BSS), 2023 Tucker Stewart Katherine Stern G. O’Keefe Ankur Teredesai Juhua Hu 142 0 0 25 Apr 2023
Is In-hospital Meta-information Useful for Abstractive Discharge Summary Generation?International Conference on Technologies and Applications of Artificial Intelligence (ICTAAI), 2022 Kenichiro Ando Mamoru Komachi T. Okumura Hiromasa Horiguchi Yuji Matsumoto 142 2 0 10 Mar 2023
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce HospitalsThe Web Conference (WWW), 2023 Ruiqing Ding Fang-Ning Rong Xiao Han Leye Wang 165 5 0 11 Feb 2023
Manifestations of Xenophobia in AI SystemsAi & Society (AS), 2022 Nenad Tomašev J. L. Maynard Iason Gabriel 345 11 0 15 Dec 2022
ALRt: An Active Learning Framework for Irregularly Sampled Temporal Data Ronald Moore Rishikesan Kamaleswaran AI4CE 236 0 0 13 Dec 2022
On the Importance of Clinical Notes in Multi-modal Learning for EHR Data Severin Husmann Hugo Yèche Gunnar Rätsch Rita Kuznetsova HAI 127 10 0 06 Dec 2022
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 166 1 0 01 Dec 2022
Self-explaining Hierarchical Model for Intraoperative Time SeriesIndustrial Conference on Data Mining (IDM), 2022 Dingwen Li Bing Xue C. King Bradley A. Fritz M. Avidan Joanna Abraham Chenyang Lu AI4CE 99 4 0 10 Oct 2022
Temporal Label Smoothing for Early Event PredictionInternational Conference on Machine Learning (ICML), 2022 Hugo Yèche Alizée Pace Gunnar Rätsch Rita Kuznetsova 185 9 0 29 Aug 2022
Who Goes First? Influences of Human-AI Workflow on Decision Making in Clinical ImagingConference on Fairness, Accountability and Transparency (FAccT), 2022 Riccardo Fogliato Shreya Chappidi M. Lungren Michael Fitzke Mark Parkinson Diane U Wilson Paul Fisher Eric Horvitz K. Inkpen Besmira Nushi 195 82 0 19 May 2022
Unsupervised Probabilistic Models for Sequential Electronic Health RecordsJournal of Biomedical Informatics (JBI), 2022 Alan Kaplan John D Greene Vincent X. Liu Priyadip Ray 156 4 0 15 Apr 2022
Task-Synchronized Recurrent Neural Networks Mantas Lukovsevivcius Arnas Uselis AI4TS 169 2 0 11 Apr 2022
Imputing Missing Observations with Time Sliced Synthetic Minority Oversampling Technique Andrew Baumgartner S. Molani Qinglai Wei J. Hadlock AI4TS 95 3 0 14 Jan 2022
Self-Supervised Transformer for Sparse and Irregularly Sampled Multivariate Clinical Time-SeriesACM Transactions on Knowledge Discovery from Data (TKDD), 2021 Sindhu Tipirneni Chandan K. Reddy AI4TS 231 140 0 29 Jul 2021
Heteroscedastic Temporal Variational Autoencoder For Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin BDL AI4TS 91 15 0 23 Jul 2021
Predicting sepsis in multi-site, multi-national intensive care cohorts using deep learning Michael Moor Nicolas Bennet Drago Plečko Max Horn Bastian Rieck N. Meinshausen Peter Buhlmann Karsten Borgwardt 104 7 0 12 Jul 2021
Neural Natural Language Processing for Unstructured Data in Electronic Health Records: a Review Irene Li Jessica Pan Jeremy Goldwasser Neha Verma Wai Pan Wong ... Matthew Zhang David Chang R. Taylor H. Krumholz Dragomir R. Radev BDL 218 190 0 07 Jul 2021
Cross-hospital Sepsis Early Detection via Semi-supervised Optimal Transport with Self-paced EnsembleIEEE journal of biomedical and health informatics (JBHI), 2021 Ruiqing Ding Yu Zhou Jie Xu Yan Xie Qiqiang Liang He Ren Yixuan Wang Yanlin Chen Leye Wang Man Huang OOD 128 7 0 18 Jun 2021
Measuring the robustness of Gaussian processes to kernel choiceInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2021 William T. Stephenson S. Ghosh Tin D. Nguyen Mikhail Yurochkin Sameer K. Deshpande Tamara Broderick GP 141 14 0 11 Jun 2021
CARRNN: A Continuous Autoregressive Recurrent Neural Network for Deep Representation Learning from Sporadic Temporal DataIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2021 Mostafa Mehdipour-Ghazi Lauge Sørensen Sébastien Ourselin Mads Nielsen AI4TS 91 18 0 08 Apr 2021
A Temporal Kernel Approach for Deep Learning with Continuous-time InformationInternational Conference on Learning Representations (ICLR), 2021 Da Xu Chuanwei Ruan Evren Körpeoglu Sushant Kumar Kannan Achan SyDa AI4TS 110 5 0 28 Mar 2021
Neural SDEs as Infinite-Dimensional GANsInternational Conference on Machine Learning (ICML), 2021 Patrick Kidger James Foster Xuechen Li Harald Oberhauser Terry Lyons DiffM 315 191 0 06 Feb 2021
Real-time Prediction for Mechanical Ventilation in COVID-19 Patients using A Multi-task Gaussian Process Multi-objective Self-attention Network Kai Zhang Siddharth Karanth B. Patel R. Murphy Xiaoqian Jiang OOD 120 5 0 01 Feb 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 155 3 0 26 Jan 2021
Multi-Time Attention Networks for Irregularly Sampled Time SeriesInternational Conference on Learning Representations (ICLR), 2020 Satya Narayan Shukla Benjamin M. Marlin AI4TS 334 257 0 25 Jan 2021
Multi-view Integration Learning for Irregularly-sampled Clinical Time Series Yurim Lee E. Jun Heung-Il Suk AI4TS 102 0 0 25 Jan 2021
A Survey on Principles, Models and Methods for Learning from Irregularly Sampled Time Series Satya Narayan Shukla Benjamin M. Marlin AI4TS 196 55 0 30 Nov 2020
A Review of Deep Learning Methods for Irregularly Sampled Medical Time Series Data Chenxi Sun linda Qiao Moxian Song Hongyan Li AI4TS OOD 328 64 0 23 Oct 2020
UNITE: Uncertainty-based Health Risk Prediction Leveraging Multi-sourced Data Chacha Chen Junjie Liang Fenglong Ma Lucas Glass Jimeng Sun Cao Xiao 144 29 0 22 Oct 2020
Probabilistic Numeric Convolutional Neural NetworksInternational Conference on Learning Representations (ICLR), 2020 Marc Finzi Roberto Bondesan Max Welling BDL AI4TS 192 13 0 21 Oct 2020
Cubic Spline Smoothing Compensation for Irregularly Sampled Sequences Jing Shi Jing Bi Yingru Liu Chenliang Xu 85 0 0 03 Oct 2020
Fast Matrix Square Roots with Applications to Gaussian Processes and Bayesian Optimization Geoff Pleiss M. Jankowiak David Eriksson Anil Damle Jacob R. Gardner 211 45 0 19 Jun 2020
A Generalised Signature Method for Multivariate Time Series Feature Extraction James Morrill Adeline Fermanian Patrick Kidger Terry Lyons 190 14 0 01 Jun 2020
Generalised Interpretable Shapelets for Irregular Time Series Patrick Kidger James Morrill Terry Lyons AI4TS 185 7 0 28 May 2020
Neural Controlled Differential Equations for Irregular Time Series Patrick Kidger James Morrill James Foster Terry Lyons AI4TS 437 603 0 18 May 2020
Distilling neural networks into skipgram-level decision lists Madhumita Sushil Simon Suster Walter Daelemans FAtt 157 0 0 14 May 2020