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Prediction of septic and hypovolemic shock in intensive care unit patients using machine learning.

Stela Mares Brasileiro PessoaBianca Silva de Sousa OliveiraWendy Gomes Dos SantosAugusto Novais Macedo OliveiraMarianne Silveira CamargoDouglas Leandro Aparecido Barbosa de MatosMiquéias Martins Lima SilvaCarolina Cintra de Queiroz MedeirosCláudia Soares de Sousa CoelhoJosé de Souza Andrade NetoSostenes Mistro
Published in: Revista Brasileira de terapia intensiva (2023)
The predictive model created and validated showed a high ability to predict septic and hypovolemic shock from the time of admission of patients to the intensive care unit.
Keyphrases
  • end stage renal disease
  • intensive care unit
  • ejection fraction
  • newly diagnosed
  • chronic kidney disease
  • acute kidney injury
  • emergency department
  • prognostic factors
  • peritoneal dialysis
  • patient reported outcomes