Zobrazeno 1 - 10
of 1 227
pro vyhledávání: '"Coiera Enrico"'
Autor:
Coiera, Enrico
Objective: This paper proposes a framework to support the scientific research of standards so that they can be better measured, evaluated, and designed. Methods: Beginning with the notion of common models, the framework describes the general standard
Externí odkaz:
http://arxiv.org/abs/2304.09114
Machine Learning (ML) has emerged as a powerful form of data modelling with widespread applicability beyond its roots in the design of autonomous agents. However, relatively little attention has been paid to the interaction between people and ML syst
Externí odkaz:
http://arxiv.org/abs/2301.01819
Recent engineering developments in specialised computational hardware, data-acquisition and storage technology have seen the emergence of Machine Learning (ML) as a powerful form of data analysis with widespread applicability beyond its historical ro
Externí odkaz:
http://arxiv.org/abs/2205.08954
Publikováno v:
BMC Bioinformatics, Vol 10, Iss Suppl 2, p S10 (2009)
Abstract Background This paper proposes a novel framework for bioinformatics assisted biosurveillance and early warning to address the inefficiencies in traditional surveillance as well as the need for more timely and comprehensive infection monitori
Externí odkaz:
https://doaj.org/article/c8d2fa00af174c6c899a7138d81447ec
Publikováno v:
In Journal of Clinical Epidemiology January 2024 165
Autor:
Rezazadegan, Dana, Berkovsky, Shlomo, Quiroz, Juan C., Kocaballi, A. Baki, Wang, Ying, Laranjo, Liliana, Coiera, Enrico
Speech summarisation techniques take human speech as input and then output an abridged version as text or speech. Speech summarisation has applications in many domains from information technology to health care, for example improving speech archives
Externí odkaz:
http://arxiv.org/abs/2008.11897
Autor:
Quiroz, Juan C, Laranjo, Liliana, Tufanaru, Catalin, Kocaballi, Ahmet Baki, Rezazadegan, Dana, Berkovsky, Shlomo, Coiera, Enrico
Publikováno v:
International Journal of Medical Informatics (2020), 104324
Bayesian modelling and statistical text analysis rely on informed probability priors to encourage good solutions. This paper empirically analyses whether text in medical discharge reports follow Zipf's law, a commonly assumed statistical property of
Externí odkaz:
http://arxiv.org/abs/2003.13352
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