Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Aadya Bhaskaran"'
Autor:
Mary A. Shiraef, Cora Hirst, Mark A. Weiss, Sarah Naseer, Nikolas Lazar, Elizabeth Beling, Erin Straight, Lukas Feddern, Noah Rusk Taylor, Cayleigh Jackson, William Yu, Aadya Bhaskaran, Layth Mattar, Matthew Amme, Maggie Shum, Mary Louise Mitsdarffer, Johanna Sweere, Susanna E. Brantley, Luis L. Schenoni, Colin Lewis-Beck, COBAP Team
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-11 (2021)
Measurement(s) border policy Technology Type(s) digital curation Factor Type(s) country • temporal interval Sample Characteristic - Environment Coronavirus pandemic Sample Characteristic - Location global Machine-accessible metadata file describing
Externí odkaz:
https://doaj.org/article/3495f5ef3ec04561bd8412f4bc4553e1
Autor:
Charles Q Yang, Huan Wang, Zhenqiu Liu, Matthew T Hueman, Aadya Bhaskaran, Donald E Henson, Li Sheng, Dechang Chen
Publikováno v:
PLoS ONE, Vol 16, Iss 9, p e0257949 (2021)
BackgroundIntegrating additional factors into the TNM staging system is needed for more accurate risk classification and survival prediction for patients with cutaneous melanoma. In the present study, we introduce machine learning as a novel tool tha
Externí odkaz:
https://doaj.org/article/74fb0c32b46f4211a3ed44a4b0f13111
Autor:
Zhenqiu Liu, Li Sheng, Huan Wang, Dechang Chen, Aadya Bhaskaran, Matthew T. Hueman, Charles Q. Yang, Donald E. Henson
Publikováno v:
PLoS ONE
PLoS ONE, Vol 16, Iss 9, p e0257949 (2021)
PLoS ONE, Vol 16, Iss 9, p e0257949 (2021)
Background Integrating additional factors into the TNM staging system is needed for more accurate risk classification and survival prediction for patients with cutaneous melanoma. In the present study, we introduce machine learning as a novel tool th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::654c003d27273786ab3ca874af0dfe50
https://pubmed.ncbi.nlm.nih.gov/34591891
https://pubmed.ncbi.nlm.nih.gov/34591891