Classification tree to screen for the nursing diagnosis Ineffective airway clearance

ABSTRACT Objective: to identify the defining characteristics of Ineffective airway clearance with better predictive power using classification trees. Method: the predictive power of the defining characteristics of Ineffective airway clearance was evaluated based on classification trees generated from the data of 249 children with acute respiratory infection. Results: Ineffective cough and adventitious breath sounds were identified as the main defining characteristics when screening for Ineffective airway clearance in accordance with trees based on three different computational algorithms. Conclusion: Ineffective coughing and adventitious breath sounds had better predictive capacity for Ineffective airway clearance in the sample.

Bibliographic Details

Main Authors:	Chaves,Daniel Bruno Resende, Pascoal,Lívia Maia, Beltrão,Beatriz Amorim, Nunes,Marília Mendes, Leandro,Tânia Alteniza, Silva,Viviane Martins da, Lopes,Marcos Venícios de Oliveira
Format:	Digital revista
Language:	English
Published:	Associação Brasileira de Enfermagem 2018
Online Access:	http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000502353
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