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Understanding common key indicators of successful and unsuccessful cancer drug trials using a contrast mining framework on ClinicalTrials.gov.
Chang, Shu-Kai; Liu, Danlu; Mitchem, Jonathan; Papageorgiou, Christos; Kaifi, Jussuf; Shyu, Chi-Ren.
Afiliação
  • Chang SK; Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA.
  • Liu D; Electrical Engineering and Computer Science Department, University of Missouri, Columbia, MO 65211, USA.
  • Mitchem J; Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA; Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO 65201, USA.
  • Papageorgiou C; Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA.
  • Kaifi J; Department of Surgery, School of Medicine, University of Missouri, Columbia, MO 65212, USA; Harry S. Truman Memorial Veterans' Hospital, Columbia, MO 65201, USA.
  • Shyu CR; Institute for Data Science & Informatics, University of Missouri, Columbia, MO 65211, USA; Electrical Engineering and Computer Science Department, University of Missouri, Columbia, MO 65211, USA; Department of Medicine, School of Medicine, University of Missouri, Columbia, MO 65212, USA. Electro
J Biomed Inform ; 139: 104321, 2023 03.
Article em En | MEDLINE | ID: mdl-36806327
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
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Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Neoplasias / Antineoplásicos Tipo de estudo: Guideline / Prognostic_studies / Qualitative_research / Risk_factors_studies Limite: Humans Idioma: En Revista: J Biomed Inform Assunto da revista: INFORMATICA MEDICA Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Estados Unidos