Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing

Lignende værker

• Authors’ Reply to: Minimizing Selection and Classification Biases Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
  af: Izquierdo, Jose Luis, et al.
  Udgivet: (2021)
• Minimizing Selection and Classification Biases. Comment on “Clinical Characteristics and Prognostic Factors for Intensive Care Unit Admission of Patients With COVID-19: Retrospective Study Using Machine Learning and Natural Language Processing”
  af: Martos Pérez, Francisco, et al.
  Udgivet: (2021)
• Predicting Intensive Care Unit admission among patients presenting to the emergency department using machine learning and natural language processing
  af: Fernandes, Marta, et al.
  Udgivet: (2020)
• The Language of Prognostication in Intensive Care Units
  af: White, Douglas B., et al.
  Udgivet: (2008)
• Utilizing Machine Learning Methods for Preoperative Prediction of Postsurgical Mortality and Intensive Care Unit Admission
  af: Chiew, Calvin J., et al.
  Udgivet: (2020)