Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Shiba Mishra"'
Publikováno v:
PeerJ, Vol 8, p e10083 (2020)
Background The recent pandemic of CoVID-19 has emerged as a threat to global health security. There are very few prognostic models on CoVID-19 using machine learning. Objectives To predict mortality among confirmed CoVID-19 patients in South Korea us
Externí odkaz:
https://doaj.org/article/9a1a05ae7f99471897a5217457259f05
BackgroundBladder cancer is the most common cancer of the urinary system among the American population and it is the fourth most common cause of cancer morbidity and the eight most common cause of cancer mortality among men. Using machine learning al
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e294533478194a6f91a9a7efbf549320
https://doi.org/10.1101/2020.11.13.20231191
https://doi.org/10.1101/2020.11.13.20231191
Publikováno v:
PeerJ, Vol 8, p e10083 (2020)
PeerJ
PeerJ
Background The recent pandemic of CoVID-19 has emerged as a threat to global health security. There are very few prognostic models on CoVID-19 using machine learning. Objectives To predict mortality among confirmed CoVID-19 patients in South Korea us
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bdbf6acc3cf5d3875b461a9e1348a40b
https://peerj.com/articles/10083/
https://peerj.com/articles/10083/
BackgroundThe recent pandemic of CoVID-19 has emerged as a threat to global health security. There are a very few prognostic models on CoVID-19 using machine learning.ObjectivesTo predict mortality among confirmed CoVID-19 patients in South Korea usi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7c98aaf34acf0a704873a410f7270ccc
BackgroundAcute myeloid leukemia (AML) accounts for a fifth of childhood leukemia. Although survival rates for AML have greatly improved over the past few decades, they vary depending on demographic and AML type factors.ObjectivesTo predict the five-
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8b58fc5baaa9bf48d11ddfe4e45ee484