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Predicting and Classifying First Reports of Adverse Drug Events in Biomedical Literature based on Authors' Arguments.

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Title: Predicting and Classifying First Reports of Adverse Drug Events in Biomedical Literature based on Authors' Arguments.
Authors: OKANO, Yutaro1, SHIROTA, Matsuyuki2,3 mshirota@med.tohoku.ac.jp, KINOSHITA, Kengo1,3
Source: Interdisciplinary Information Sciences. 2025, Vol. 31 Issue 1, p96-109. 14p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 191598233
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PubType: Academic Journal
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  Data: Predicting and Classifying First Reports of Adverse Drug Events in Biomedical Literature based on Authors' Arguments.
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  Data: <searchLink fieldCode="JN" term="%22Interdisciplinary+Information+Sciences%22">Interdisciplinary Information Sciences</searchLink>. 2025, Vol. 31 Issue 1, p96-109. 14p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=191598233
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      – Type: doi
        Value: 10.4036/iis.2025.A.10
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      – Code: eng
        Text: English
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        PageCount: 14
        StartPage: 96
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      – TitleFull: Predicting and Classifying First Reports of Adverse Drug Events in Biomedical Literature based on Authors' Arguments.
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            NameFull: OKANO, Yutaro
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            NameFull: SHIROTA, Matsuyuki
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            NameFull: KINOSHITA, Kengo
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              Text: 2025
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