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A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study.
Hasan, Md Mahmudul; Young, Gary J; Shi, Jiesheng; Mohite, Prathamesh; Young, Leonard D; Weiner, Scott G; Noor-E-Alam, Md.
Afiliação
  • Hasan MM; Department of Mechanical and Industrial Engineering, College of Engineering, Center for Health Policy and Healthcare Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02135, USA.
  • Young GJ; D'Amore-McKim School of Business, Bouve College of Health Sciences, Center for Health Policy and Healthcare Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02135, USA.
  • Shi J; Department of Mechanical and Industrial Engineering, College of Engineering, Center for Health Policy and Healthcare Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02135, USA.
  • Mohite P; Department of Mechanical and Industrial Engineering, College of Engineering, Center for Health Policy and Healthcare Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02135, USA.
  • Young LD; Prescription Monitoring Program, Massachusetts Department of Public Health, Boston, MA, 02108, USA.
  • Weiner SG; Department of Emergency Medicine, Division of Health Policy and Public Health, Brigham and Women's Hospital, 75 Francis Street, NH-226, Boston, MA, 02115, USA.
  • Noor-E-Alam M; Department of Mechanical and Industrial Engineering, College of Engineering, Center for Health Policy and Healthcare Research, Northeastern University, 360 Huntington Avenue, Boston, MA, 02135, USA. mnalam@neu.edu.
BMC Med Inform Decis Mak ; 21(1): 331, 2021 11 26.
Article em En | MEDLINE | ID: mdl-34836524
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Transtornos Relacionados ao Uso de Opioides Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article
Texto completo
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XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Sistemas de Apoio a Decisões Clínicas / Transtornos Relacionados ao Uso de Opioides Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Ano de publicação: 2021 Tipo de documento: Article