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Developing the POTOMAC Model: A Novel Prediction Model to Study the Impact of Lymphopenia Kinetics on Survival Outcomes in Head and Neck Cancer Via an Ensemble Tree-Based Machine Learning Approach.
Kut, Carmen; Midthune, Doug; Lee, Emerson; Fair, Peyton; Cheunkarndee, Tia; McNutt, Todd; DeWeese, Theodore; Fakhry, Carole; Kipnis, Victor; Quon, Harry.
Afiliação
  • Kut C; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD.
  • Midthune D; Biometric Research Group, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD.
  • Lee E; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD.
  • Fair P; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD.
  • Cheunkarndee T; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD.
  • McNutt T; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD.
  • DeWeese T; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD.
  • Fakhry C; Department of Otolaryngology, Johns Hopkins School of Medicine, Baltimore, MD.
  • Kipnis V; Biometric Research Group, Division of Cancer Prevention, National Cancer Institute, National Institutes of Health, Bethesda, MD.
  • Quon H; Department of Radiation Oncology and Molecular Radiation Sciences, Johns Hopkins School of Medicine, Baltimore, MD.
JCO Clin Cancer Inform ; 7: e2300058, 2023 Sep.
Article em En | MEDLINE | ID: mdl-38096467

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias de Cabeça e Pescoço / Linfopenia Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article

Texto completo: 1 Base de dados: MEDLINE Assunto principal: Neoplasias de Cabeça e Pescoço / Linfopenia Limite: Humans Idioma: En Ano de publicação: 2023 Tipo de documento: Article