Ari Ercole

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 15

Top Topics

Survival Prediction

Traumatic Brain Injury

Top Venues

Int. J. Medical Informatics

Publications

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 (2023)
Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series. CoRR (2023)
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)
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 (2022)
Daniel Jarrett, Jinsung Yoon, Ioana Bica, Zhaozhi Qian, Ari Ercole, Mihaela van der Schaar
Clairvoyance: A Pipeline Toolkit for Medical Time Series. ICLR (2021)
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) (2021)
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)
Jacob Deasy, Ari Ercole, Pietro Liò
Adaptive Prediction Timing for Electronic Health Records. CoRR (2020)
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 (2020)
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 (2019)
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 (2019)
Jacob Deasy, Ari Ercole, Pietro Liò
Impact of novel aggregation methods for flexible, time-sensitive EHR prediction without variable selection or cleaning. CoRR (2019)
Katharina Kohler, Ari Ercole
Characterising complex healthcare systems using network science: The small world of emergency surgery. CoRR (2019)
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 (2019)
Steve 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 (2018)