Zobrazeno 1 - 10
of 310
pro vyhledávání: '"P. Bourdeaux"'
Autor:
Clark, Jeffrey N., Wragg, Matthew, Nielsen, Emily, Perello-Nieto, Miquel, Keshtmand, Nawid, Ambler, Michael, Sharma, Shiv, Bourdeaux, Christopher P., Brigden, Amberly, Santos-Rodriguez, Raul
There is a growing need to understand how digital systems can support clinical decision-making, particularly as artificial intelligence (AI) models become increasingly complex and less human-interpretable. This complexity raises concerns about trustw
Externí odkaz:
http://arxiv.org/abs/2411.11774
Intensive Care Units are complex, data-rich environments where critically ill patients are treated using variety of clinical equipment. The data collected using this equipment can be used clinical staff to gain insight into the condition of the patie
Externí odkaz:
http://arxiv.org/abs/2410.16959
Intensive care units (ICUs) are complex and data-rich environments. Data routinely collected in the ICUs provides tremendous opportunities for machine learning, but their use comes with significant challenges. Complex problems may require additional
Externí odkaz:
http://arxiv.org/abs/2309.16500
Autor:
Clark, Jeffrey N., Small, Edward A., Keshtmand, Nawid, Wan, Michelle W. L., Mayoral, Elena Fillola, Werner, Enrico, Bourdeaux, Christopher P., Santos-Rodriguez, Raul
Counterfactual explanations, and their associated algorithmic recourse, are typically leveraged to understand, explain, and potentially alter a prediction coming from a black-box classifier. In this paper, we propose to extend the use of counterfactu
Externí odkaz:
http://arxiv.org/abs/2309.15965
Co-design is an effective method for designing software, but implementing it within the clinical setting comes with a set of unique challenges. This makes recruitment and engagement of participants difficult, which has been demonstrated in our study.
Externí odkaz:
http://arxiv.org/abs/2308.16631
Autor:
Werner, Enrico, Clark, Jeffrey N., Bhamber, Ranjeet S., Ambler, Michael, Bourdeaux, Christopher P., Hepburn, Alexander, McWilliams, Christopher J., Santos-Rodriguez, Raul
We present a pipeline in which unsupervised machine learning techniques are used to automatically identify subtypes of hospital patients admitted between 2017 and 2021 in a large UK teaching hospital. With the use of state-of-the-art explainability t
Externí odkaz:
http://arxiv.org/abs/2301.08019
Publikováno v:
SoftwareX, Vol 24, Iss , Pp 101593- (2023)
Intensive care units are complex, data-rich healthcare environments which provide substantial opportunities for applications in machine learning. While certain solutions can be derived directly from data, complex problems require additional human inp
Externí odkaz:
https://doaj.org/article/8fdadccd597049f499a34078ffa7cb21
Autor:
Pascal Bourdeaux
Publikováno v:
Blue Papers, Vol 2, Iss 2 (2023)
Zones of fluvial influence, which were the cradles of many human societies both past and present, are key in today’s discourse on how to manage water, culture and heritage in ways that are compatible with sustainable development. Water/river custom
Externí odkaz:
https://doaj.org/article/7c8e7d2f49314c28b44057be88164bff
Autor:
Nicholas Sunderland, Francine Cheese, Zoe Leadbetter, Nikhil V Joshi, Mark Mariathas, Ioannis Felekos, Sinjini Biswas, Geoff Dalton, Amardeep Dastidar, Shahid Aziz, Dan McKenzie, Raveen Kandan, Ali Khavandi, Hazim Rahbi, Christopher Bourdeaux, Kieron Rooney, Matt Govier, Matthew Thomas, Stephen Dorman, Julian Strange, Thomas W Johnson
Publikováno v:
Interventional Cardiology: Reviews, Research, Resources, Vol 18, Iss , Pp - (2023)
Background: Out-of-hospital cardiac arrest (OHCA) is associated with very poor clinical outcomes. An optimal pathway of care is yet to be defined, but prognostication is likely to assist in the challenging decision-making required for treatment of th
Externí odkaz:
https://doaj.org/article/9baca55532294618927843740b363019
Shawn McHale, The First Vietnam War. Violence, Sovereignty, and the Fracture of the South, 1945-1956
Autor:
Pascal Bourdeaux
Publikováno v:
Moussons, Vol 39, Pp 214-219 (2022)
Externí odkaz:
https://doaj.org/article/1e6aa894a227418bbbbbbe9150562940