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Deep Learning-Based Available and Common Clinical-Related Feature Variables Robustly Predict Survival in Community-Acquired Pneumonia.
Feng, Ding-Yun; Ren, Yong; Zhou, Mi; Zou, Xiao-Ling; Wu, Wen-Bin; Yang, Hai-Ling; Zhou, Yu-Qi; Zhang, Tian-Tuo.
Afiliación
  • Feng DY; Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Ren Y; Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital of Sun Yat-Sen University, Shenzhen, People's Republic of China.
  • Zhou M; Department of Surgery Intensive Care Unit, The Third Affiliated Hospital of Sun Yat-sen University, Guangzhou, People's Republic of China.
  • Zou XL; Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Wu WB; Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Yang HL; Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Zhou YQ; Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-Sen University, Guangzhou, People's Republic of China.
  • Zhang TT; Department of Pulmonary and Critical Care Medicine, The Third Affiliated Hospital of Sun Yat-sen University, Institute of Respiratory Diseases of Sun Yat-Sen University, Guangzhou, People's Republic of China.
Risk Manag Healthc Policy ; 14: 3701-3709, 2021.
Article en En | MEDLINE | ID: mdl-34512057
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Risk Manag Healthc Policy Año: 2021 Tipo del documento: Article
Texto completo
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Observational_studies / Prognostic_studies / Risk_factors_studies Idioma: En Revista: Risk Manag Healthc Policy Año: 2021 Tipo del documento: Article