Predicting substance use behaviors with machine learning using small sets of judgment and contextual variables.

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Title: Predicting substance use behaviors with machine learning using small sets of judgment and contextual variables.
Authors: Bari S; Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA., Vike NL; Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA., Kim BW; Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA., Block M; Integrated Marketing Communications, Medill School of Journalism, Northwestern University, Evanston, IL, USA., Stefanopoulos L; Department of Computer Science, Northwestern University, Evanston, IL, USA., Katsaggelos AK; Department of Computer Science, Northwestern University, Evanston, IL, USA.; Department of Electrical Engineering, Northwestern University, Evanston, IL, USA.; Department of Radiology, Northwestern University, Chicago, IL, USA., Breiter HC; Department of Computer Science, University of Cincinnati, Cincinnati, OH, USA. breitehs@ucmail.uc.edu.; Department of Biomedical Engineering, University of Cincinnati, Cincinnati, OH, USA. breitehs@ucmail.uc.edu.; Laboratory of Neuroimaging and Genetics, Department of Psychiatry, Massachusetts General Hospital and Harvard School of Medicine, Boston, MA, USA. breitehs@ucmail.uc.edu.
Source: Npj mental health research [Npj Ment Health Res] 2026 Jan 27; Vol. 5 (1), pp. 5. Date of Electronic Publication: 2026 Jan 27.
Publication Type: Journal Article
Journal Info: Publisher: Springer Nature Country of Publication: England NLM ID: 9918592488906676 Publication Model: Electronic Cited Medium: Internet ISSN: 2731-4251 (Electronic) Linking ISSN: 27314251 NLM ISO Abbreviation: Npj Ment Health Res Subsets: PubMed not MEDLINE
Database: MEDLINE Ultimate
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Description
ISSN:2731-4251
DOI:10.1038/s44184-025-00181-3