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Ari Ercole
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Journal Articles
- 2023
- [j3]Shubhayu Bhattacharyay
, Pier Francesco Caruso
, Cecilia Åkerlund
, Lindsay Wilson, Robert D. Stevens, David K. Menon
, Ewout W. Steyerberg
, David W. Nelson, Ari Ercole
:
Mining the contribution of intensive care clinical course to outcome after traumatic brain injury. npj Digit. Medicine 6 (2023) - 2021
- [j2]Mihaela van der Schaar, Ahmed M. Alaa, R. Andres Floto, Alexander Gimson, Stefan Scholtes, Angela M. Wood
, Eoin F. McKinney, Daniel Jarrett, Pietro Lió
, Ari Ercole
:
How artificial intelligence and machine learning can help healthcare systems respond to COVID-19. Mach. Learn. 110(1): 1-14 (2021) - 2018
- [j1]Steve K. Harris
, Sinan Shi
, David Brealey
, Niall S. MacCallum, Spiros C. Denaxas
, David Pérez-Suárez, Ari Ercole
, Peter J. Watkinson
, Andrew Jones, Simon Ashworth, Richard Beale, J. Duncan Young
, Stephen Brett, Mervyn Singer
:
Critical Care Health Informatics Collaborative (CCHIC): Data, tools and methods for reproducible research: A multi-centre UK intensive care database. Int. J. Medical Informatics 112: 82-89 (2018)
Conference and Workshop Papers
- 2021
- [c2]Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar:
Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR 2021 - 2020
- [c1]James Jordon, Daniel Jarrett, Evgeny Saveliev, Jinsung Yoon, Paul W. G. Elbers, Patrick Thoral, Ari Ercole, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar:
Hide-and-Seek Privacy Challenge: Synthetic Data Generation vs. Patient Re-identification. NeurIPS (Competition and Demos) 2020: 206-215
Data and Artifacts
- 2020
- [d1]Pedro Baqui
, Ioana Bica
, Valerio Marra
, Ari Ercole
, Mihaela van der Schaar
:
ioanabica/COVID-19-Brazil: Code release. Zenodo, 2020
Informal and Other Publications
- 2023
- [i10]Shubhayu Bhattacharyay
, Pier Francesco Caruso, Cecilia Åkerlund, Lindsay Wilson, Robert D. Stevens, David K. Menon, Ewout W. Steyerberg, David W. Nelson, Ari Ercole
:
Contribution of clinical course to outcome after traumatic brain injury: mining patient trajectories from European intensive care unit data. CoRR abs/2303.04630 (2023) - [i9]Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole
, Mihaela van der Schaar:
Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR abs/2310.18688 (2023) - 2022
- [i8]Shubhayu Bhattacharyay
, Ioan Milosevic, Lindsay Wilson, David K. Menon, Robert D. Stevens, Ewout W. Steyerberg, David W. Nelson, Ari Ercole
:
The leap to ordinal: functional prognosis after traumatic brain injury using artificial intelligence. CoRR abs/2202.04801 (2022) - 2020
- [i7]Jacob Deasy, Ari Ercole
, Pietro Liò:
Adaptive Prediction Timing for Electronic Health Records. CoRR abs/2003.02554 (2020) - [i6]James Jordon, Daniel Jarrett, Jinsung Yoon, Tavian Barnes, Paul W. G. Elbers, Patrick Thoral, Ari Ercole
, Cheng Zhang, Danielle Belgrave, Mihaela van der Schaar:
Hide-and-Seek Privacy Challenge. CoRR abs/2007.12087 (2020) - 2019
- [i5]Anna-Lena Popkes, Hiske Overweg, Ari Ercole
, Yingzhen Li, José Miguel Hernández-Lobato, Yordan Zaykov, Cheng Zhang:
Interpretable Outcome Prediction with Sparse Bayesian Neural Networks in Intensive Care. CoRR abs/1905.02599 (2019) - [i4]Katharina Kohler, Ari Ercole
:
Characterising complex healthcare systems using network science: The small world of emergency surgery. CoRR abs/1908.01688 (2019) - [i3]Tom Edinburgh, Peter Smielewski, Marek Czosnyka, Stephen J. Eglen, Ari Ercole
:
DeepClean - self-supervised artefact rejection for intensive care waveform data using generative deep learning. CoRR abs/1908.03129 (2019) - [i2]Jacob Deasy, Pietro Liò, Ari Ercole
:
Dynamic survival prediction in intensive care units from heterogeneous time series without the need for variable selection or pre-processing. CoRR abs/1909.07214 (2019) - [i1]Jacob Deasy, Ari Ercole
, Pietro Liò:
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. CoRR abs/1909.08981 (2019)
Coauthor Index
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last updated on 2024-07-30 21:40 CEST by the dblp team
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