Using machine learning to determine the shared and unique risk factors for marijuana use among child-welfare versus community adolescents

• Sonya Negriff ,

  Roles Conceptualization, Data curation, Formal analysis, Investigation, Supervision, Writing – original draft, Writing – review & editing

  * E-mail: sonya.x.negriff@kp.org

  ¶‡ SN and BD are contributed equally to this work as co-first authors.

  Affiliation Department of Research and Evaluation, Kaiser Permanente Southern California, Pasadena, California, United States of America

  https://orcid.org/0000-0002-1660-6301

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• Bistra Dilkina ,

  Roles Conceptualization, Formal analysis, Investigation, Supervision, Validation, Writing – original draft, Writing – review & editing

  ¶‡ SN and BD are contributed equally to this work as co-first authors.

  Affiliation Department of Computer Science, University of Southern California, Los Angeles, California, United States of America

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• Laksh Matai,

  Roles Data curation, Formal analysis, Writing – original draft, Writing – review & editing

  Affiliation Department of Computer Science, University of Southern California, Los Angeles, California, United States of America

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• Eric Rice

  Roles Conceptualization, Investigation, Supervision, Writing – review & editing

  Affiliation Suzanne Dworak-Peck School of Social Work, University of Southern California, Los Angeles, California, United States of America

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