Classification tree to screen for the nursing diagnosis Ineffective airway clearance
Autor(a) principal: | |
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Data de Publicação: | 2018 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Enfermagem (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000502353 |
Resumo: | 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. |
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Revista Brasileira de Enfermagem (Online) |
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Classification tree to screen for the nursing diagnosis Ineffective airway clearanceNursingPediatric NursingNursing DiagnosisRespiratory Sign and SymptomChildrenABSTRACT 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.Associação Brasileira de Enfermagem2018-10-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000502353Revista Brasileira de Enfermagem v.71 n.5 2018reponame:Revista Brasileira de Enfermagem (Online)instname:Associação Brasileira de Enfermagem (ABEN)instacron:ABEN10.1590/0034-7167-2017-0085info:eu-repo/semantics/openAccessChaves,Daniel Bruno ResendePascoal,Lívia MaiaBeltrão,Beatriz AmorimNunes,Marília MendesLeandro,Tânia AltenizaSilva,Viviane Martins daLopes,Marcos Venícios de Oliveiraeng2018-10-03T00:00:00Zoai:scielo:S0034-71672018000502353Revistahttp://www.scielo.br/rebenhttps://old.scielo.br/oai/scielo-oai.phpreben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br1984-04460034-7167opendoar:2018-10-03T00:00Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN)false |
dc.title.none.fl_str_mv |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance |
title |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance |
spellingShingle |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance Chaves,Daniel Bruno Resende Nursing Pediatric Nursing Nursing Diagnosis Respiratory Sign and Symptom Children |
title_short |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance |
title_full |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance |
title_fullStr |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance |
title_full_unstemmed |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance |
title_sort |
Classification tree to screen for the nursing diagnosis Ineffective airway clearance |
author |
Chaves,Daniel Bruno Resende |
author_facet |
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 |
author_role |
author |
author2 |
Pascoal,Lívia Maia Beltrão,Beatriz Amorim Nunes,Marília Mendes Leandro,Tânia Alteniza Silva,Viviane Martins da Lopes,Marcos Venícios de Oliveira |
author2_role |
author author author author author author |
dc.contributor.author.fl_str_mv |
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 |
dc.subject.por.fl_str_mv |
Nursing Pediatric Nursing Nursing Diagnosis Respiratory Sign and Symptom Children |
topic |
Nursing Pediatric Nursing Nursing Diagnosis Respiratory Sign and Symptom Children |
description |
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. |
publishDate |
2018 |
dc.date.none.fl_str_mv |
2018-10-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000502353 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0034-71672018000502353 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/0034-7167-2017-0085 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Associação Brasileira de Enfermagem |
publisher.none.fl_str_mv |
Associação Brasileira de Enfermagem |
dc.source.none.fl_str_mv |
Revista Brasileira de Enfermagem v.71 n.5 2018 reponame:Revista Brasileira de Enfermagem (Online) instname:Associação Brasileira de Enfermagem (ABEN) instacron:ABEN |
instname_str |
Associação Brasileira de Enfermagem (ABEN) |
instacron_str |
ABEN |
institution |
ABEN |
reponame_str |
Revista Brasileira de Enfermagem (Online) |
collection |
Revista Brasileira de Enfermagem (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Enfermagem (Online) - Associação Brasileira de Enfermagem (ABEN) |
repository.mail.fl_str_mv |
reben@abennacional.org.br||telma.garcia@abennacional.org.br|| editorreben@abennacional.org.br |
_version_ |
1754303034494550016 |