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Chris Gale
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2020 – today
- 2022
- [j2]Andres Diaz-Pinto
, Nishant Ravikumar
, Rahman Attar, Avan Suinesiaputra, Yitian Zhao, Eylem Levelt
, Erica Dall' Armellina
, Marco Lorenzi, Qingyu Chen, Tiarnan D. L. Keenan
, Elvira Agrón, Emily Y. Chew
, Zhiyong Lu, Chris P. Gale
, Richard P. Gale, Sven Plein, Alejandro F. Frangi
:
Predicting myocardial infarction through retinal scans and minimal personal information. Nat. Mach. Intell. 4(1): 55-61 (2022) - 2021
- [j1]Mai Elshehaly
, Rebecca Randell, Matthew Brehmer, Lynn McVey, Natasha Alvarado, Chris P. Gale
, Roy A. Ruddle:
QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement. IEEE Trans. Vis. Comput. Graph. 27(2): 689-699 (2021) - [c4]Guntur P. Kusuma, Angelina Prima Kurniati, Eric Rojas, Ciarán D. McInerney
, Chris P. Gale
, Owen A. Johnson:
Process Mining of Disease Trajectories: A Literature Review. MIE 2021: 457-461 - [c3]Alan F. Wise, Lucy E. Morgan, Alexander Heib, Christine S. M. Currie
, Alan R. Champneys, Nadarajah Ramesh, Chris Gale
, Mamas Mamas:
Modeling Of Waiting Lists For Chronic Heart Failure In The Wake Of The COVID-19 Pandemic. WSC 2021: 1-11 - 2020
- [c2]Guntur P. Kusuma
, Angelina Kurniati
, Ciarán D. McInerney
, Marlous S. Hall
, Chris P. Gale
, Owen A. Johnson
:
Process Mining of Disease Trajectories in MIMIC-III: A Case Study. ICPM Workshops 2020: 305-316 - [i1]Mai Elshehaly, Rebecca Randell, Matthew Brehmer, Lynn McVey, Natasha Alvarado, Chris P. Gale, Roy A. Ruddle:
QualDash: Adaptable Generation of Visualisation Dashboards for Healthcare Quality Improvement. CoRR abs/2009.03002 (2020)
2010 – 2019
- 2019
- [c1]Rebecca Randell, Natasha Alvarado, Lynn McVey, Roy A. Ruddle, Patrick Doherty, Chris Gale, Mamas Mamas, Dawn Dowding:
Requirements for a quality dashboard: Lessons from National Clinical Audits. AMIA 2019
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last updated on 2024-04-25 05:54 CEST by the dblp team
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