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A machine learning approach to predict tau positivity using clinical features in amyloid‐positive individuals.

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Title: A machine learning approach to predict tau positivity using clinical features in amyloid‐positive individuals.
Authors: Arnold, Daniel, Borelli, Wyllians Vendramini, Machado, Luiza Santos, Rahmouni, Nesrine, Therriault, Joseph, Servaes, Stijn, Stevenson, Jenna, Macedo, Arthur C., Schumacher‐Schuh, Artur Francisco, Mattjie, Christian, Barros, Rodrigo C., de Bastiani, Marco Antônio, Lussier, Firoza Z, Chamoun, Mira, Bezgin, Gleb, Benedet, Andrea L., Pascoal, Tharick, Rosa‐Neto, Pedro, Zimmer, Eduardo R.
Source: Alzheimer's & dementia: the journal of the Alzheimer's Association Dec2024 Supplement; Vol. 20 (S10).
Journal Info: Publisher: Wiley-Blackwell ISSN: 1552-5260
Database: MEDLINE Ultimate
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PubType: Academic Journal
PubTypeId: academicJournal
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  Data: A machine learning approach to predict tau positivity using clinical features in amyloid‐positive individuals.
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  Data: <searchLink fieldCode="JN" term="%22101231978%22">Alzheimer's & dementia: the journal of the Alzheimer's Association</searchLink> Dec2024 Supplement; Vol. 20 (S10).
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Wiley-Blackwell%22">Wiley-Blackwell </searchLink><i>ISSN: </i>1552-5260
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=EPTOC183850820
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        Value: 10.1002/alz.094238
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      – Code: eng
        Text: English
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              Text: Dec2024 Supplement
              Type: published
              Y: 2024
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