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The American Journal of Drug and Alcohol Abuse
Encompassing All Addictive Disorders
Volume 48, 2022 - Issue 3
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Practical foundations of machine learning for addiction research. Part II. Workflow and use cases

Pablo Cresta Morgadoa Instituto de Cálculo, FCEyN, Universidad de Buenos Aires - CONICET, Buenos Aires, ArgentinaCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0002-7502-8599
ORCID Icon,
Martín Carussoa Instituto de Cálculo, FCEyN, Universidad de Buenos Aires - CONICET, Buenos Aires, Argentina
,
Laura Alonso Alemanyb Ciencias de la Computación, FaMAF, Universidad Nacional de Córdoba, Córdoba, Argentina
&
Laura Aciona Instituto de Cálculo, FCEyN, Universidad de Buenos Aires - CONICET, Buenos Aires, Argentina;c Department of Psychiatry, University of Iowa, Iowa City, IA, USAORCID Iconhttps://orcid.org/0000-0001-5213-6012
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Pages 272-283 | Received 24 Mar 2021, Accepted 06 Aug 2021, Published online: 07 Apr 2022

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Pablo Cresta Morgado, Martín Carusso, Laura Alonso Alemany & Laura Acion. (2022) Practical foundations of machine learning for addiction research. Part I. Methods and techniques. The American Journal of Drug and Alcohol Abuse 48:3, pages 260-271.
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Articles from other publishers (1)

Ivan D. Montoya & Nora D. Volkow. (2024) IUPHAR Review: New strategies for medications to treat substance use disorders. Pharmacological Research 200, pages 107078.
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