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Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.

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Title: Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.
Authors: Tsunoda, Ryoya1 (AUTHOR) tsunoda@md.tsukuba.ac.jp, Kume, Keitaro2 (AUTHOR), Kagawa, Rina3 (AUTHOR), Sanuki, Masaru2 (AUTHOR), Kitagawa, Hiroyuki4 (AUTHOR), Mase, Kaori1 (AUTHOR), Yamagata, Kunihiro1 (AUTHOR)
Source: PLoS ONE. 12/5/2024, Vol. 19 Issue 12, p1-13. 13p.
Database: Academic Search Ultimate
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  Data: Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.
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  Data: <searchLink fieldCode="JN" term="%22PLoS+ONE%22">PLoS ONE</searchLink>. 12/5/2024, Vol. 19 Issue 12, p1-13. 13p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=181470529
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        Value: 10.1371/journal.pone.0312915
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      – TitleFull: Machine-learning-based identification of patients with IgA nephropathy using a computerized medical billing database.
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              Text: 12/5/2024
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