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
Universidade Federal do Ceará. Fortaleza, Ceará, Brazil.
Universidade Federal do Maranhão, Center for Social Sciences, Health and Technology. Imperatriz, Maranhão, Brazil.
Rev Bras Enferm. 2018 Sep-Oct;71(5):2353-2358. doi: 10.1590/0034-7167-2017-0085.
to identify the defining characteristics of Ineffective airway clearance with better predictive power using classification trees.
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.
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.
Ineffective coughing and adventitious breath sounds had better predictive capacity for Ineffective airway clearance in the sample.
使用分类树识别具有更好预测能力的无效气道清除的定义特征。
基于249例急性呼吸道感染儿童的数据生成的分类树，评估无效气道清除定义特征的预测能力。
根据基于三种不同计算算法的树状图筛查无效气道清除时，无效咳嗽和附加呼吸音被确定为主要定义特征。
在该样本中，无效咳嗽和附加呼吸音对无效气道清除具有更好的预测能力。
