Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Sarah F. McGough"'
Autor:
Robin Mitra, Sarah F. McGough, Tapabrata Chakraborti, Chris Holmes, Ryan Copping, Niels Hagenbuch, Stefanie Biedermann, Jack Noonan, Brieuc Lehmann, Aditi Shenvi, Xuan Vinh Doan, David Leslie, Ginestra Bianconi, Ruben Sanchez-Garcia, Alisha Davies, Maxine Mackintosh, Eleni-Rosalina Andrinopoulou, Anahid Basiri, Chris Harbron, Ben D. MacArthur
Publikováno v:
Nature Machine Intelligence. 5:13-23
Missing data are an unavoidable complication in many machine learning tasks. When data are `missing at random' there exist a range of tools and techniques to deal with the issue. However, as machine learning studies become more ambitious, and seek to
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a495d3108e8f51b48323ec63f38070a2
https://doi.org/10.1038/s42256-022-00596-z
https://doi.org/10.1038/s42256-022-00596-z
Autor:
Emily L Aiken, Sarah F McGough, Maimuna S Majumder, Gal Wachtel, Andre T Nguyen, Cecile Viboud, Mauricio Santillana
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 8, p e1008117 (2020)
Understanding the behavior of emerging disease outbreaks in, or ahead of, real-time could help healthcare officials better design interventions to mitigate impacts on affected populations. Most healthcare-based disease surveillance systems, however,
Externí odkaz:
https://doaj.org/article/1cd74c97bb164125b89866d155d302ff
Publikováno v:
PLoS Computational Biology, Vol 16, Iss 4, p e1007735 (2020)
Achieving accurate, real-time estimates of disease activity is challenged by delays in case reporting. "Nowcast" approaches attempt to estimate the complete case counts for a given reporting date, using a time series of case reports that is known to
Externí odkaz:
https://doaj.org/article/86c4aea291d7446cb4ed582cfa5d27c5
Autor:
Sarah F. McGough, Natasha Shamas, Jue Wang, Mahmoud Jaber, Binay Swarup, Marie-Helene Blanchet Zumofen, Bertrand Lautié, Joana Parreira, Michael C. Wei, Ashwini Shewade
Publikováno v:
Blood. 140:3658-3660
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8fa1fd1ae94349538aa8e6b0786bf821
https://doi.org/10.1182/blood-2022-159640
https://doi.org/10.1182/blood-2022-159640
Publikováno v:
PLoS Neglected Tropical Diseases, Vol 11, Iss 1, p e0005295 (2017)
BACKGROUND:Over 400,000 people across the Americas are thought to have been infected with Zika virus as a consequence of the 2015-2016 Latin American outbreak. Official government-led case count data in Latin America are typically delayed by several
Externí odkaz:
https://doaj.org/article/6cee6f45233948dea90d86008259107d
Autor:
Svetlana Lyalina, Devin Incerti, Sarah F. McGough, Ryan Copping, Robert Tibshirani, Balasubramanian Narasimhan
High-dimensional data are becoming increasingly common in the medical field as large volumes of patient information are collected and processed by high-throughput screening, electronic health records (EHRs), and comprehensive genomic testing. Statist
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9129ac30421f7dfdb66c58ee6871da5a
https://doi.org/10.1101/2021.02.09.21251373
https://doi.org/10.1101/2021.02.09.21251373
Autor:
Sharon K Greene, Sarah F McGough, Gretchen M Culp, Laura E Graf, Marc Lipsitch, Nicolas A Menzies, Rebecca Kahn
BACKGROUND Nowcasting approaches enhance the utility of reportable disease data for trend monitoring by correcting for delays, but implementation details affect accuracy. OBJECTIVE To support real-time COVID-19 situational awareness, the New York Cit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b6aa30e7068c8c52ee969b9fc004a087
https://doi.org/10.2196/preprints.25538
https://doi.org/10.2196/preprints.25538
Autor:
Sharon K. Greene, Gretchen M. Culp, Sarah F. McGough, Rebecca Kahn, Laura E Graf, Nicolas A Menzies, Marc Lipsitch
Publikováno v:
medRxiv
article-version (status) pre
article-version (number) 1
JMIR Public Health and Surveillance
article-version (status) pre
article-version (number) 1
JMIR Public Health and Surveillance
Background Nowcasting approaches enhance the utility of reportable disease data for trend monitoring by correcting for delays, but implementation details affect accuracy. Objective To support real-time COVID-19 situational awareness, the New York Cit
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::157a507dceb3062a09b71c9ea2a89fbc
http://europepmc.org/articles/PMC7587834
http://europepmc.org/articles/PMC7587834
The United States has become an epicenter for the coronavirus disease 2019 (COVID-19) pandemic. However, communities have been unequally affected and evidence is growing that social determinants of health may be exacerbating the pandemic. Furthermore
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f595749c0471c98f86ab1431db1e50c9
Publikováno v:
McGough, S F, MacFadden, D R, Hattab, M W, Mølbak, K & Santillana, M 2020, ' Rates of increase of antibiotic resistance and ambient temperature in Europe : A cross-national analysis of 28 countries between 2000 and 2016 ', Eurosurveillance, vol. 25, no. 45, pp. 1-12 . https://doi.org/10.2807/1560-7917.ES.2020.25.45.1900414
Eurosurveillance
Eurosurveillance
Background The rapid increase of bacterial antibiotic resistance could soon render our most effective method to address infections obsolete. Factors influencing pathogen resistance prevalence in human populations remain poorly described, though tempe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4be52752604e3922c234c91b4ce6bb5f
https://curis.ku.dk/ws/files/271641079/eurosurv_25_45_4.pdf
https://curis.ku.dk/ws/files/271641079/eurosurv_25_45_4.pdf