Your browser doesn't support javascript.
loading
Severity detection of COVID-19 infection with machine learning of clinical records and CT images.
Zhu, Fubao; Zhu, Zelin; Zhang, Yijun; Zhu, Hanlei; Gao, Zhengyuan; Liu, Xiaoman; Zhou, Guanbin; Xu, Yan; Shan, Fei.
Afiliación
  • Zhu F; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Zhu Z; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Zhang Y; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Zhu H; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Gao Z; Department of Radiology, Shanghai Public Health Clinical Center, Fudan University, Shanghai, China.
  • Liu X; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Zhou G; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Xu Y; School of Computer and Communication Engineering, Zhengzhou University of Light Industry, Zhengzhou, Henan, China.
  • Shan F; People's Hospital of Yicheng City, Yicheng, Hubei, China.
Technol Health Care ; 30(6): 1299-1314, 2022.
Article en En | MEDLINE | ID: mdl-36314176
Asunto(s)
Palabras clave
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Technol Health Care Asunto de la revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: COVID-19 Tipo de estudio: Diagnostic_studies / Observational_studies / Prognostic_studies / Risk_factors_studies / Screening_studies Límite: Humans Idioma: En Revista: Technol Health Care Asunto de la revista: ENGENHARIA BIOMEDICA / SERVICOS DE SAUDE Año: 2022 Tipo del documento: Article País de afiliación: China