Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan.

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Title: Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan.
Authors: Kanda, Eiichiro1 (AUTHOR) kms.cds.kanda@gmail.com, Epureanu, Bogdan I.2 (AUTHOR), Adachi, Taiji3 (AUTHOR), Tsuruta, Yuki4 (AUTHOR), Kikuchi, Kan5 (AUTHOR), Kashihara, Naoki6 (AUTHOR), Abe, Masanori7 (AUTHOR), Masakane, Ikuto8 (AUTHOR), Nitta, Kosaku9 (AUTHOR)
Source: PLoS ONE. 5/29/2020, Vol. 15 Issue 5, p1-23. 23p.
Database: Academic Search Ultimate
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  Data: Application of explainable ensemble artificial intelligence model to categorization of hemodialysis-patient and treatment using nationwide-real-world data in Japan.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 5/29/2020, Vol. 15 Issue 5, p1-23. 23p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=143497968
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