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Machine learning-based prediction of in-ICU mortality in pneumonia patients.
Jeon, Eun-Tae; Lee, Hyo Jin; Park, Tae Yun; Jin, Kwang Nam; Ryu, Borim; Lee, Hyun Woo; Kim, Dong Hyun.
Afiliação
  • Jeon ET; Department of Radiology, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 5 Gil 20, Boramae-Road, Dongjak-gu, Seoul, South Korea.
  • Lee HJ; Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 5 Gil 20, Boramae-Road, Dongjak-gu, Seoul, South Korea.
  • Park TY; Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 5 Gil 20, Boramae-Road, Dongjak-gu, Seoul, South Korea.
  • Jin KN; Department of Radiology, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 5 Gil 20, Boramae-Road, Dongjak-gu, Seoul, South Korea.
  • Ryu B; Center for Data Science, Biomedical Research Institute, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, Seoul, South Korea.
  • Lee HW; Division of Respiratory and Critical Care, Department of Internal Medicine, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 5 Gil 20, Boramae-Road, Dongjak-gu, Seoul, South Korea. athrunzara86@snu.ac.kr.
  • Kim DH; Department of Radiology, Seoul National University College of Medicine, Seoul Metropolitan Government-Seoul National University Boramae Medical Center, 5 Gil 20, Boramae-Road, Dongjak-gu, Seoul, South Korea. mi4ri4@gmail.com.
Sci Rep ; 13(1): 11527, 2023 07 17.
Article em En | MEDLINE | ID: mdl-37460837

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Coréia do Sul

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: Pneumonia Tipo de estudo: Observational_studies / Prognostic_studies / Risk_factors_studies Limite: Humans Idioma: En Revista: Sci Rep Ano de publicação: 2023 Tipo de documento: Article País de afiliação: Coréia do Sul