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pro vyhledávání: '"Bent, Oliver E."'
Autor:
Remy, Sekou L., Bent, Oliver E.
In this work we present a framework which may transform research and praxis in epidemic planning. Introduced in the context of the ongoing COVID-19 pandemic, we provide a concrete demonstration of the way algorithms may learn from epidemiological mod
Externí odkaz:
http://arxiv.org/abs/2210.02055
Publikováno v:
AMIA Annu Symp Proc
The use of epidemiological models for decision-making has been prominent during the COVID-19 pandemic. Our work presents the application of nonparametric Bayesian techniques for inferring epidemiological model parameters based on available data sets
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::8fd7154d371505012701a1f991273cbc
https://europepmc.org/articles/PMC8861664/
https://europepmc.org/articles/PMC8861664/
Autor:
Bent OE; IBM Research Africa, Nairobi, Kenya., Wachira C; IBM Research Africa, Nairobi, Kenya., Remy SL; IBM Research Africa, Nairobi, Kenya., Ogallo W; IBM Research Africa, Nairobi, Kenya., Walcott-Bryant A; IBM Research Africa, Nairobi, Kenya.
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium [AMIA Annu Symp Proc] 2022 Feb 21; Vol. 2021, pp. 217-226. Date of Electronic Publication: 2022 Feb 21 (Print Publication: 2021).
