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Interpretable Machine Learning for COVID-19: An Empirical Study on Severity Prediction Task.
Wu, Han; Ruan, Wenjie; Wang, Jiangtao; Zheng, Dingchang; Liu, Bei; Geng, Yayuan; Chai, Xiangfei; Chen, Jian; Li, Kunwei; Li, Shaolin; Helal, Sumi.
Afiliação
  • Wu H; University of Exeter EX4 4PY Exeter U.K.
  • Ruan W; University of Exeter EX4 4PY Exeter U.K.
  • Wang J; Coventry University CV1 5FB Coventry U.K.
  • Zheng D; Coventry University CV1 5FB Coventry U.K.
  • Liu B; Department of Gastroenterology910 Hospital of PLA Beijing China.
  • Geng Y; Scientific Research Department BeijingHY Medical Technology Beijing 100192 China.
  • Chai X; Scientific Research Department BeijingHY Medical Technology Beijing 100192 China.
  • Chen J; Department of RadiologyHospital of Sun Yat-sen University Zhuhai 519000 China.
  • Li K; Department of RadiologyHospital of Sun Yat-sen University Zhuhai 519000 China.
  • Li S; Department of Radiology, and Guangdong Provincial Key Laboratory of Biomedical ImagingHospital of Sun Yat-sen University Zhuhai 519000 China.
  • Helal S; University of Florida Gainesville FL 32611 USA.
IEEE Trans Artif Intell ; 4(4): 764-777, 2023 Aug.
Article em En | MEDLINE | ID: mdl-37954545

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2023 Tipo de documento: Article