Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Keiko SEKIYA"'
Autor:
Rezarta Islamaj, Robert Leaman, Sun Kim, Dongseop Kwon, Chih-Hsuan Wei, Donald C. Comeau, Yifan Peng, David Cissel, Cathleen Coss, Carol Fisher, Rob Guzman, Preeti Gokal Kochar, Stella Koppel, Dorothy Trinh, Keiko Sekiya, Janice Ward, Deborah Whitman, Susan Schmidt, Zhiyong Lu
Publikováno v:
Scientific Data, Vol 8, Iss 1, Pp 1-12 (2021)
Measurement(s) chemical entity • textual entity • Annotation Technology Type(s) expert manual annotation • digital curation • machine learning Machine-accessible metadata file describing the reported data: https://doi.org/10.6084/m9.figshare.
Externí odkaz:
https://doaj.org/article/f9507f6a53ad42a0ae91c51046597661
Autor:
Daisuke UMEMOTO, Keiko SEKIYA, Hiroshi NAKAGAWA, Sayaka KAMIBAYASHI, Saya KOMOTO, Toshiharu IKAGA
Publikováno v:
Journal of Environmental Engineering (Transactions of AIJ). 88:429-438
Publikováno v:
Journal of Environmental Engineering (Transactions of AIJ). 88:325-333
Autor:
Rezarta Islamaj, Robert Leaman, David Cissel, Cathleen Coss, Joseph Denicola, Carol Fisher, Rob Guzman, Preeti Gokal Kochar, Nicholas Miliaras, Zoe Punske, Keiko Sekiya, Dorothy Trinh, Deborah Whitman, Susan Schmidt, Zhiyong Lu
Publikováno v:
Database (Oxford)
The automatic recognition of chemical names and their corresponding database identifiers in biomedical text is an important first step for many downstream text-mining applications. The task is even more challenging when considering the identification
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7fda443626cb1bdba041b97a6f41a378
https://europepmc.org/articles/PMC9716560/
https://europepmc.org/articles/PMC9716560/
Autor:
Sun Kim, Preeti Gokal Kochar, Donald C. Comeau, Stella Koppel, Rob Guzman, Carol Fisher, Zhiyong Lu, Yifan Peng, Susan Schmidt, Keiko Sekiya, Robert Leaman, David S. Cissel, Janice Ward, Rezarta Islamaj, Dorothy Trinh, Dongseop Kwon, Chih-Hsuan Wei, Cathleen Coss, Deborah Whitman
Publikováno v:
Scientific Data
Scientific Data, Vol 8, Iss 1, Pp 1-12 (2021)
Scientific Data, Vol 8, Iss 1, Pp 1-12 (2021)
Automatically identifying chemical and drug names in scientific publications advances information access for this important class of entities in a variety of biomedical disciplines by enabling improved retrieval and linkage to related concepts. While
Autor:
Chih-Hsuan Wei, Zhiyong Lu, Olga Printseva, Nicholas Miliaras, Janice Ward, Keiko Sekiya, David S. Cissel, Rezarta Islamaj, Oleg Rodionov
Publikováno v:
Journal of Biomedical Informatics. 118:103779
The automatic recognition of gene names and their corresponding database identifiers in biomedical text is an important first step for many downstream text-mining applications. While current methods for tagging gene entities have been developed for b
Publikováno v:
International Journal of Oral-Medical Sciences. 13:128-130
Autor:
Masashi Sakayanagi, Takashi Kaneda, Miya Kato, Teruyasu Hirayama, Masataka Kato, Yuzo Fujita, Keiko Sekiya, Takeshi Maeda, Shintaro Mori
Publikováno v:
International Journal of Oral-Medical Sciences. 5:129-132
Distomolar (also known as the fourth molar) is an abnormality in the number of teeth. This finding is usually present on one side of the maxilla, and is comparatively rare as a bilateral finding. We encountered a case of bilateral maxillary distomola