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Classification tree for the inference of the nursing diagnosis Fluid Volume Excess (00026).

Micnéias Tatiana de Souza Lacerda BotelhoMarisa Dibbern Lopes CorreiaJuliana Prado Biani ManzoliFabio Luis MontanariLuciana Aparecida Costa CarvalhoErika Christiane Marocco Duran
Published in: Revista da Escola de Enfermagem da U S P (2021)
The construction of the trees allowed to quantify the probability of the occurrence of Fluid Volume Excess (00026) in the studied population and the elements "Excessive sodium intake" and "Input exceeds output" were considered predictors of this diagnosis in the sample.
Keyphrases
  • weight gain
  • machine learning
  • healthcare
  • risk assessment
  • mental health
  • single cell
  • body mass index
  • weight loss