Your browser doesn't support javascript.
loading
Analysis of substance use and its outcomes by machine learning I. Childhood evaluation of liability to substance use disorder.
Jing, Yankang; Hu, Ziheng; Fan, Peihao; Xue, Ying; Wang, Lirong; Tarter, Ralph E; Kirisci, Levent; Wang, Junmei; Vanyukov, Michael; Xie, Xiang-Qun.
Afiliación
  • Jing Y; Department of Pharmaceutical Sciences, Computational Chemical Genomics Screen Center, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA; Department of Pharmaceutical Sciences, School of Pharmacy, NIDA National Center of Excellence for Computational Drug Abuse
  • Hu Z; Department of Pharmaceutical Sciences, Computational Chemical Genomics Screen Center, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA; Department of Pharmaceutical Sciences, School of Pharmacy, NIDA National Center of Excellence for Computational Drug Abuse
  • Fan P; Department of Pharmaceutical Sciences, Computational Chemical Genomics Screen Center, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA; Department of Pharmaceutical Sciences, School of Pharmacy, NIDA National Center of Excellence for Computational Drug Abuse
  • Xue Y; Department of Pharmaceutical Sciences, Computational Chemical Genomics Screen Center, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA; Department of Pharmaceutical Sciences, School of Pharmacy, NIDA National Center of Excellence for Computational Drug Abuse
  • Wang L; Department of Pharmaceutical Sciences, Computational Chemical Genomics Screen Center, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA; Department of Pharmaceutical Sciences, School of Pharmacy, NIDA National Center of Excellence for Computational Drug Abuse
  • Tarter RE; Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA.
  • Kirisci L; Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA.
  • Wang J; Department of Pharmaceutical Sciences, Computational Chemical Genomics Screen Center, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA; Department of Pharmaceutical Sciences, School of Pharmacy, NIDA National Center of Excellence for Computational Drug Abuse
  • Vanyukov M; Department of Pharmaceutical Sciences, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA. Electronic address: mmv@pitt.edu.
  • Xie XQ; Department of Pharmaceutical Sciences, Computational Chemical Genomics Screen Center, School of Pharmacy, University of Pittsburgh, 3501 Terrace St, Pittsburgh, PA, 15213, USA; Department of Pharmaceutical Sciences, School of Pharmacy, NIDA National Center of Excellence for Computational Drug Abuse
Drug Alcohol Depend ; 206: 107605, 2020 01 01.
Article en En | MEDLINE | ID: mdl-31839402
Asunto(s)
Palabras clave
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Técnicas Psicológicas / Evaluación de Resultado en la Atención de Salud / Trastornos Relacionados con Sustancias / Aprendizaje Automático Tipo de estudio: Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Drug Alcohol Depend Año: 2020 Tipo del documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Técnicas Psicológicas / Evaluación de Resultado en la Atención de Salud / Trastornos Relacionados con Sustancias / Aprendizaje Automático Tipo de estudio: Evaluation_studies / Observational_studies / Prognostic_studies / Risk_factors_studies Límite: Adolescent / Adult / Child / Female / Humans / Male Idioma: En Revista: Drug Alcohol Depend Año: 2020 Tipo del documento: Article