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Automated extraction of information of lung cancer staging from unstructured reports of PET-CT interpretation: natural language processing with deep-learning.
Park, Hyung Jun; Park, Namu; Lee, Jang Ho; Choi, Myeong Geun; Ryu, Jin-Sook; Song, Min; Choi, Chang-Min.
Afiliação
  • Park HJ; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea.
  • Park N; Department of Information Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, South Korea.
  • Lee JH; Department of Biomedical Informatics and Medical Education, School of Medicine, University of Washington, Seattle, WA, USA.
  • Choi MG; Department of Pulmonary and Critical Care Medicine, Asan Medical Center, University of Ulsan College of Medicine, 88, Olympic-ro 43-gil, Songpa-gu, Seoul, 05505, South Korea.
  • Ryu JS; Division of Pulmonary and Critical Care Medicine, Department of Internal Medicine, College of Medicine, Mokdong Hospital, Ewha Womans University, Seoul, Republic of Korea.
  • Song M; Department of Nuclear Medicine, Asan Medical Center, University of Ulsan College of Medicine, Seoul, Korea.
  • Choi CM; Department of Digital Analytics, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul, 03722, South Korea. min.song@yonsei.ac.kr.
BMC Med Inform Decis Mak ; 22(1): 229, 2022 09 01.
Article em En | MEDLINE | ID: mdl-36050674
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article
Texto completo
Imprimir
XML
PubMed Links
Buscar no Google

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Aprendizado Profundo / Neoplasias Pulmonares Tipo de estudo: Prognostic_studies Limite: Humans Idioma: En Ano de publicação: 2022 Tipo de documento: Article