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pro vyhledávání: '"Kansei Watanabe"'
Autor:
Hiroyuki Shimizu, Brendan J. Barrett, Koh Okamoto, Akihiro Ueda, Kazutoshi Iijima, Shigeru Mikami, Ayumu Tsubosaka, Kansei Watanabe, Hideaki Kato, Fan Yang, Makoto Yabe, Natsuo Tachikawa, Bohua Ma, Kazuki Taoka, Yohei Doi, Sakura Davis, Kazuyoshi Kurashima, Kyoji Moriya, Mai Takematsu, Ikura Hashimoto, Shota Sugiyama, Hiroki Ienaga, Yasushi Shibue, Sohei Harada, Yusuke Yoshino, Styve Pamphile, Masao Hagihara, Masaki Ishihara, Saki Namura, Eiki Shoji, Hideaki Nakajima
Publikováno v:
SSRN Electronic Journal.
Background: It has been difficult to distinguish between mild, moderate, and severe cases at an early stage for COVID-19 patients, making it challenging to decide an optimized treatment for each patient. This machine learning system could predict the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cbff67195bd50e54fbc6cf4dbc3282a0
https://doi.org/10.2139/ssrn.3887475
https://doi.org/10.2139/ssrn.3887475
