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Expanding TNM for lung cancer through machine learning.
Hueman, Matthew; Wang, Huan; Liu, Zhenqiu; Henson, Donald; Nguyen, Cuong; Park, Dean; Sheng, Li; Chen, Dechang.
Afiliação
  • Hueman M; Department of Surgical Oncology, John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
  • Wang H; Department of Biostatistics, George Washington University, Washington, District of Columbia, USA.
  • Liu Z; Department of Public Health Sciences, Penn State Cancer Institute, Hershey, Pennsylvania, USA.
  • Henson D; Department of Preventive Medicine & Biostatistics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
  • Nguyen C; Department of Pathology, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
  • Park D; Department of Hematology-Oncology, John P. Murtha Cancer Center, Walter Reed National Military Medical Center, Bethesda, Maryland, USA.
  • Sheng L; Department of Mathematics, Drexel University, Philadelphia, Pennsylvania, USA.
  • Chen D; Department of Preventive Medicine & Biostatistics, F. Edward Hébert School of Medicine, Uniformed Services University of the Health Sciences, Bethesda, Maryland, USA.
Thorac Cancer ; 12(9): 1423-1430, 2021 05.
Article em En | MEDLINE | ID: mdl-33713568
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Thorac Cancer Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Singapura
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado de Máquina / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies Limite: Adult / Female / Humans / Male / Middle aged Idioma: En Revista: Thorac Cancer Ano de publicação: 2021 Tipo de documento: Article País de afiliação: Estados Unidos País de publicação: Singapura