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A Multimodality Machine Learning Approach to Differentiate Severe and Nonsevere COVID-19: Model Development and Validation.
Chen, Yuanfang; Ouyang, Liu; Bao, Forrest S; Li, Qian; Han, Lei; Zhang, Hengdong; Zhu, Baoli; Ge, Yaorong; Robinson, Patrick; Xu, Ming; Liu, Jie; Chen, Shi.
Afiliación
  • Chen Y; Public Health Research Institute of Jiangsu Province, Nanjing, China.
  • Ouyang L; Institute of HIV/AIDS/STI Prevention and Control, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Bao FS; Department of Orthopaedics, Union Hospital, Huazhong University of Science and Technology, Wuhan, China.
  • Li Q; Department of Computer Science, Iowa State University, Ames, IA, United States.
  • Han L; Department of Pediatrics, Affiliated Kunshan Hospital of Jiangsu University, Kunshan, China.
  • Zhang H; Public Health Research Institute of Jiangsu Province, Nanjing, China.
  • Zhu B; Department of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Ge Y; Public Health Research Institute of Jiangsu Province, Nanjing, China.
  • Robinson P; Department of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Xu M; Public Health Research Institute of Jiangsu Province, Nanjing, China.
  • Liu J; Department of Occupational Disease Prevention, Jiangsu Provincial Center for Disease Control and Prevention, Nanjing, China.
  • Chen S; School of Public health, Nanjing Medical University, Nanjing, China.
J Med Internet Res ; 23(4): e23948, 2021 04 07.
Article en En | MEDLINE | ID: mdl-33714935
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Triaje / Aprendizaje Automático / SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: China
Texto completo
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Texto completo: 1 Banco de datos: MEDLINE Asunto principal: Índice de Severidad de la Enfermedad / Triaje / Aprendizaje Automático / SARS-CoV-2 / COVID-19 Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male / Middle aged País/Región como asunto: Asia Idioma: En Revista: J Med Internet Res Asunto de la revista: INFORMATICA MEDICA Año: 2021 Tipo del documento: Article País de afiliación: China