Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Agathe Truchot"'
Autor:
Marc Raynaud, Valentin Goutaudier, Kevin Louis, Solaf Al-Awadhi, Quentin Dubourg, Agathe Truchot, Romain Brousse, Nouredine Saleh, Alessia Giarraputo, Charlotte Debiais, Zeynep Demir, Anaïs Certain, Francine Tacafred, Esteban Cortes-Garcia, Safia Yanes, Jessy Dagobert, Sofia Naser, Blaise Robin, Élodie Bailly, Xavier Jouven, Peter P. Reese, Alexandre Loupy
Publikováno v:
BMC Medical Research Methodology, Vol 21, Iss 1, Pp 1-10 (2021)
Abstract Background The COVID-19 pandemic has severely affected health systems and medical research worldwide but its impact on the global publication dynamics and non-COVID-19 research has not been measured. We hypothesized that the COVID-19 pandemi
Externí odkaz:
https://doaj.org/article/bf47bae3fb92486db06af70afd70c7e3
Autor:
Agathe Truchot, Marc Raynaud, Nassim Kamar, Maarten Naesens, Christophe Legendre, Michel Delahousse, Olivier Thaunat, Matthias Buchler, Marta Crespo, Kamilla Linhares, Babak J. Orandi, Enver Akalin, Gervacio Soler Pujol, Helio Tedesco Silva, Gaurav Gupta, Dorry L. Segev, Xavier Jouven, Andrew J. Bentall, Mark D. Stegall, Carmen Lefaucheur, Olivier Aubert, Alexandre Loupy
Publikováno v:
Kidney International. 103:936-948
Machine learning (ML) models have recently shown potential for predicting kidney allograft outcomes. However, their ability to outperform traditional approaches remains poorly investigated. Therefore, using large cohorts of kidney transplant recipien
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5802bf98d8689d8080c7a514cf767ec1
https://doi.org/10.1016/j.kint.2022.12.011
https://doi.org/10.1016/j.kint.2022.12.011
Publikováno v:
Kidney International. 103:1023-1024
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::342d7ceba8cf0293240a30182929db56
https://doi.org/10.1016/j.kint.2023.03.011
https://doi.org/10.1016/j.kint.2023.03.011