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Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.

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Title: Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.
Authors: Passos, Ives C.1 (AUTHOR), Ballester, Pedro L.2 (AUTHOR), Barros, Rodrigo C.2 (AUTHOR), Librenza‐Garcia, Diego3 (AUTHOR), Mwangi, Benson4 (AUTHOR), Birmaher, Boris5 (AUTHOR), Brietzke, Elisa6 (AUTHOR), Hajek, Tomas7,8 (AUTHOR), Lopez Jaramillo, Carlos9,10 (AUTHOR), Mansur, Rodrigo B.11 (AUTHOR), Alda, Martin7 (AUTHOR), Haarman, Bartholomeus C. M.12 (AUTHOR), Isometsa, Erkki13 (AUTHOR), Lam, Raymond W.14 (AUTHOR), McIntyre, Roger S.15 (AUTHOR), Minuzzi, Luciano3 (AUTHOR), Kessing, Lars V.16 (AUTHOR), Yatham, Lakshmi N.14 (AUTHOR), Duffy, Anne6 (AUTHOR), Kapczinski, Flavio3 (AUTHOR) flavio.kapczinski@gmail.com
Source: Bipolar Disorders. Nov2019, Vol. 21 Issue 7, p582-594. 13p. 1 Diagram, 2 Charts.
Database: Academic Search Ultimate
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  Data: Machine learning and big data analytics in bipolar disorder: A position paper from the International Society for Bipolar Disorders Big Data Task Force.
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  Data: <searchLink fieldCode="JN" term="%22Bipolar+Disorders%22">Bipolar Disorders</searchLink>. Nov2019, Vol. 21 Issue 7, p582-594. 13p. 1 Diagram, 2 Charts.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=139703798
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              Text: Nov2019
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