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Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.

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Title: Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.
Authors: Silveira, Érico de Moura1 (AUTHOR) erico.moura@gmail.com, Passos, Ives Cavalcante1 (AUTHOR), Scott, Jan2 (AUTHOR), Bristot, Giovana3 (AUTHOR), Scotton, Ellen1 (AUTHOR), Teixeira Mendes, Lorenna Sena4 (AUTHOR), Umpierre Knackfuss, Ana Claudia4 (AUTHOR), Gerchmann, Luciana4 (AUTHOR), Fijtman, Adam1 (AUTHOR), Trasel, Andrea Ruschel1 (AUTHOR), Salum, Giovanni Abrahão4 (AUTHOR), Kauer-Sant'Anna, Márcia1 (AUTHOR)
Source: Journal of Psychiatric Research. Feb2020, Vol. 121, p207-213. 7p.
Database: Academic Search Ultimate
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An: 140937125
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PubTypeId: academicJournal
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  Data: Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Psychiatric+Research%22">Journal of Psychiatric Research</searchLink>. Feb2020, Vol. 121, p207-213. 7p.
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      – Type: doi
        Value: 10.1016/j.jpsychires.2019.12.005
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      – Code: eng
        Text: English
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        PageCount: 7
        StartPage: 207
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      – TitleFull: Decoding rumination: A machine learning approach to a transdiagnostic sample of outpatients with anxiety, mood and psychotic disorders.
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            NameFull: Silveira, Érico de Moura
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            NameFull: Passos, Ives Cavalcante
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              Text: Feb2020
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              Y: 2020
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