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Dr. Answer AI for prostate cancer: Clinical outcome prediction model and service.
Rho, Mi Jung; Park, Jihwan; Moon, Hyong Woo; Lee, Chanjung; Nam, Sejin; Kim, Dongbum; Kim, Choung-Soo; Jeon, Seong Soo; Kang, Minyong; Lee, Ji Youl.
Afiliação
  • Rho MJ; Catholic Cancer Research Institute, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Park J; Department of Biomedicine & Health Sciences, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Moon HW; Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Lee C; Department of Urology, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.
  • Nam S; LifeSemantics, Seoul, Republic of Korea.
  • Kim D; LifeSemantics, Seoul, Republic of Korea.
  • Kim CS; LifeSemantics, Seoul, Republic of Korea.
  • Jeon SS; Department of Urology, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Republic of Korea.
  • Kang M; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
  • Lee JY; Department of Urology, Samsung Medical Center, Sungkyunkwan University School of Medicine, Seoul, Republic of Korea.
PLoS One ; 15(8): e0236553, 2020.
Article em En | MEDLINE | ID: mdl-32756597
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Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognóstico / Neoplasias da Próstata / Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2020 Tipo de documento: Article
Texto completo
Adicionar na Minha BVS
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Prognóstico / Neoplasias da Próstata / Inteligência Artificial / Sistemas de Apoio a Decisões Clínicas Tipo de estudo: Guideline / Prognostic_studies / Risk_factors_studies Idioma: En Revista: PLoS One Ano de publicação: 2020 Tipo de documento: Article