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Automatically identifying opioid use disorder in non-cancer patients on chronic opioid therapy.
Zhu, Vivienne J; Lenert, Leslie A; Barth, Kelly S; Simpson, Kit N; Li, Hong; Kopscik, Michael; Brady, Kathleen T.
Afiliação
  • Zhu VJ; Biomedical Informatics Center, Department of Public Health Science, College of Medicine, 2345Medical University of South Carolina, Charleston, SC, USA.
  • Lenert LA; Biomedical Informatics Center, Department of Public Health Science, College of Medicine, 2345Medical University of South Carolina, Charleston, SC, USA.
  • Barth KS; Department of Psychiatry and Behavioral Science, College of Medicine, 2345Medical University of South Carolina, Charleston, SC, USA.
  • Simpson KN; Department of Healthcare Leadership and Management, College of Health Professions, 2345Medical University of South Carolina, Charleston, SC, USA.
  • Li H; Department of Public Health Science, College of Medicine, 2345Medical University of South Carolina, Charleston, SC, USA.
  • Kopscik M; College of Medicine, 2345Medical University of South Carolina, Charleston, SC, USA.
  • Brady KT; Department of Psychiatry and Behavioral Science, College of Medicine, 2345Medical University of South Carolina, Charleston, SC, USA.
Health Informatics J ; 28(2): 14604582221107808, 2022.
Article em En | MEDLINE | ID: mdl-35726687
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Analgésicos Opioides / Transtornos Relacionados ao Uso de Opioides Tipo de estudo: Diagnostic_studies / Guideline Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Analgésicos Opioides / Transtornos Relacionados ao Uso de Opioides Tipo de estudo: Diagnostic_studies / Guideline Limite: Adult / Female / Humans / Male Idioma: En Ano de publicação: 2022 Tipo de documento: Article