posted on 2018-10-10, 02:48authored byDaniel Bruno Resende Chaves, Lívia Maia Pascoal, Beatriz Amorim Beltrão, Marília Mendes Nunes, Tânia Alteniza Leandro, Viviane Martins da Silva, Marcos Venícios de Oliveira Lopes
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.