Your browser doesn't support javascript.
loading
A text-mining approach to obtain detailed treatment information from free-text fields in population-based cancer registries: A study of non-small cell lung cancer in California.
Maguire, Frances B; Morris, Cyllene R; Parikh-Patel, Arti; Cress, Rosemary D; Keegan, Theresa H M; Li, Chin-Shang; Lin, Patrick S; Kizer, Kenneth W.
Afiliação
  • Maguire FB; California Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis Health, Sacramento, California, United States of America.
  • Morris CR; University of California Davis, Graduate Group in Epidemiology, Davis, California, United States of America.
  • Parikh-Patel A; California Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis Health, Sacramento, California, United States of America.
  • Cress RD; California Cancer Reporting and Epidemiologic Surveillance Program, Institute for Population Health Improvement, University of California Davis Health, Sacramento, California, United States of America.
  • Keegan THM; Department of Public Health Sciences, University of California Davis, Davis, California, United States of America.
  • Li CS; Department of Public Health Sciences, University of California Davis, Davis, California, United States of America.
  • Lin PS; Center for Oncology Hematology Outcomes Research and Training (COHORT) and Division of Hematology and Oncology, University of California Davis School of Medicine, Sacramento, California, United States of America.
  • Kizer KW; School of Nursing, The State University of New York, University at Buffalo, Buffalo, New York, United States of America.
PLoS One ; 14(2): e0212454, 2019.
Article em En | MEDLINE | ID: mdl-30794610
Assuntos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Mineração de Dados / Neoplasias Pulmonares Tipo de estudo: Guideline / Prognostic_studies Limite: Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Carcinoma Pulmonar de Células não Pequenas / Mineração de Dados / Neoplasias Pulmonares Tipo de estudo: Guideline / Prognostic_studies Limite: Female / Humans / Male País/Região como assunto: America do norte Idioma: En Revista: PLoS One Assunto da revista: CIENCIA / MEDICINA Ano de publicação: 2019 Tipo de documento: Article País de afiliação: Estados Unidos