Classification tree to screen for the nursing diagnosis Ineffective airway clearance
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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.
2016 ◽
Vol 20
(3)
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pp. 324-332
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2020 ◽
Vol 99
(4)
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pp. 117-126
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