Zobrazeno 1 - 10
of 60
pro vyhledávání: '"XGBoost (extreme gradient boosting)"'
Publikováno v:
Frontiers in Medicine, Vol 10 (2023)
PurposeTo explore and validate the utility of machine learning (ML) methods using a limited sample size to predict changes in visual acuity and keratometry 2 years following corneal crosslinking (CXL) for progressive keratoconus.MethodsThe study incl
Externí odkaz:
https://doaj.org/article/b8c2160e8e894b2aaebd43b4ba965f9d
Autor:
Cui Zhou, Åsa M. Wheelock, Chutian Zhang, Jian Ma, Kaixing Dong, Jingxiang Pan, Zhichao Li, Wannian Liang, Jing Gao, Lei Xu
Publikováno v:
Frontiers in Public Health, Vol 11 (2023)
BackgroundThe global COVID-19 pandemic is still ongoing, and cross-country and cross-period variation in COVID-19 age-adjusted case fatality rates (CFRs) has not been clarified. Here, we aimed to identify the country-specific effects of booster vacci
Externí odkaz:
https://doaj.org/article/e3f46f1b63f94daab928842a49f58aa7
Autor:
Nishan Kumar Biswas, Thomas A. Stanley, Dalia B. Kirschbaum, Pukar M. Amatya, Chinaporn Meechaiya, Ate Poortinga, Peeranan Towashiraporn
Publikováno v:
Frontiers in Earth Science, Vol 10 (2022)
The Lower Mekong region is one of the most landslide-prone areas of the world. Despite the need for dynamic characterization of landslide hazard zones within the region, it is largely understudied for several reasons. Dynamic and integrated understan
Externí odkaz:
https://doaj.org/article/a0008210d6104465a59978c40134eff9
Publikováno v:
Frontiers in Pharmacology, Vol 13 (2022)
Externí odkaz:
https://doaj.org/article/2ef666d7d4334ecabf33403a402ce9f3
Akademický článek
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Autor:
Aaron Chuah, Giles Walters, Daniel Christiadi, Krishna Karpe, Alice Kennard, Richard Singer, Girish Talaulikar, Wenbo Ge, Hanna Suominen, T. Daniel Andrews, Simon Jiang
Publikováno v:
Frontiers in Medicine, Vol 9 (2022)
Background and ObjectivesChronic kidney disease progression to ESKD is associated with a marked increase in mortality and morbidity. Its progression is highly variable and difficult to predict.MethodsThis is an observational, retrospective, single-ce
Externí odkaz:
https://doaj.org/article/a1581204ce7a4f78ad46fd882c177df3
Publikováno v:
Applied Sciences, Vol 13, Iss 4, p 2272 (2023)
This study aims to develop a better Financial Statement Fraud (FSF) detection model by utilizing data from publicly available financial statements of firms in the MENA region. We develop an FSF model using a powerful ensemble technique, the XGBoost (
Externí odkaz:
https://doaj.org/article/c3ac4579ad294a438ac4e6a3165d5af8
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
The worldwide rapid spread of the severe acute respiratory syndrome coronavirus 2 has affected millions of individuals and caused unprecedented medical challenges by putting healthcare services under high pressure. Given the global increase in number
Externí odkaz:
https://doaj.org/article/5214e7dad76f40bfb5c15fbd1a96223a
Publikováno v:
Frontiers in Artificial Intelligence, Vol 4 (2021)
Externí odkaz:
https://doaj.org/article/5c24b3778d234cc9ab282683fd2eb71d
Akademický článek
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