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An End-to-End Integrated Clinical and CT-Based Radiomics Nomogram for Predicting Disease Severity and Need for Ventilator Support in COVID-19 Patients: A Large Multisite Retrospective Study.
Vaidya, Pranjal; Alilou, Mehdi; Hiremath, Amogh; Gupta, Amit; Bera, Kaustav; Furin, Jennifer; Armitage, Keith; Gilkeson, Robert; Yuan, Lei; Fu, Pingfu; Lu, Cheng; Ji, Mengyao; Madabhushi, Anant.
Afiliação
  • Vaidya P; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Alilou M; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Hiremath A; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Gupta A; Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
  • Bera K; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Furin J; Department of Internal Medicine, Maimonides Medical Center, Brooklyn, NY, United States.
  • Armitage K; Department of Infectious Diseases, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
  • Gilkeson R; Department of Infectious Diseases, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
  • Yuan L; Department of Radiology, University Hospitals Cleveland Medical Center, Cleveland, OH, United States.
  • Fu P; Department of Information Center, Renmin Hospital of Wuhan University, Wuhan, China.
  • Lu C; Department of Population and Quantitative Health Sciences, Case Western Reserve University, Cleveland, OH, United States.
  • Ji M; Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH, United States.
  • Madabhushi A; Department of Gastroenterology, Renmin Hospital of Wuhan University, Wuhan, China.
Article em En | MEDLINE | ID: mdl-36437821

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Idioma: En Ano de publicação: 2022 Tipo de documento: Article