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A machine learning approach to predict amyloid and tau positivity using clinical features.

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Title: A machine learning approach to predict amyloid and tau positivity using clinical features.
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 amyloid and tau positivity using clinical features.
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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=EPTOC183850848
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        Value: 10.1002/alz.094314
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      – Code: eng
        Text: English
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              Text: Dec2024 Supplement
              Type: published
              Y: 2024
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