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Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features.

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Title: Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features.
Authors: Loch, Alexandre Andrade1,2 (AUTHOR) alexandre.loch@usp.br, Gondim, João Medrado3 (AUTHOR), Argolo, Felipe Coelho1 (AUTHOR), Lopes-Rocha, Ana Caroline1 (AUTHOR), Andrade, Julio Cesar1 (AUTHOR), van de Bilt, Martinus Theodorus1,2 (AUTHOR), de Jesus, Leonardo Peroni1 (AUTHOR), Haddad, Natalia Mansur1 (AUTHOR), Cecchi, Guillermo A.4 (AUTHOR), Mota, Natalia Bezerra5,6 (AUTHOR), Gattaz, Wagner Farid1,2 (AUTHOR), Corcoran, Cheryl Mary7,8 (AUTHOR), Ara, Anderson9 (AUTHOR)
Source: Schizophrenia Research. Aug2023, Vol. 258, p45-52. 8p.
Database: Academic Search Ultimate
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DbLabel: Academic Search Ultimate
An: 169969261
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PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: <searchLink fieldCode="JN" term="%22Schizophrenia+Research%22">Schizophrenia Research</searchLink>. Aug2023, Vol. 258, p45-52. 8p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=169969261
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      – Type: doi
        Value: 10.1016/j.schres.2023.07.011
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 45
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      – TitleFull: Detecting at-risk mental states for psychosis (ARMS) using machine learning ensembles and facial features.
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            – D: 01
              M: 08
              Text: Aug2023
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              Y: 2023
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