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- Title
Classification tree to screen for the nursing diagnosis Ineffective airway clearance.
- Authors
Resende Chaves, Daniel Bruno; Pascoal, Lívia Maia; Beltrão, Beatriz Amorim; Mendes Nunes, Marília; Alteniza Leandro, Tânia; Martins da Silva, Viviane; Venícios de Oliveira Lopes, Marcos
- 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.
- Subjects
BRAZIL; ALGORITHMS; ASTHMA in children; CHI-squared test; CONFIDENCE intervals; DECISION trees; EVALUATION of medical care; MEDICAL screening; NURSING; NURSING diagnosis; PEDIATRIC nursing; PNEUMONIA in children; QUESTIONNAIRES; RESEARCH funding; RESPIRATORY infections; STATISTICS; DATA analysis; CROSS-sectional method; DESCRIPTIVE statistics; SYMPTOMS; DIAGNOSIS
- Publication
Revista Brasileira de Enfermagem, 2018, Vol 71, Issue 5, p2353
- ISSN
0034-7167
- Publication type
Article
- DOI
10.1590/0034-7167-2017-0085