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Please use this identifier to cite or link to this item: https://ptsldigital.ukm.my/jspui/handle/123456789/578395
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dc.contributor.authorIsmail I (UITM)
dc.contributor.authorYap B. W (UITM)
dc.contributor.authorAbidin A. S. Z (UITM)
dc.date.accessioned2023-11-06T03:01:13Z-
dc.date.available2023-11-06T03:01:13Z-
dc.date.issued2017-07
dc.identifier.issn0128-7680
dc.identifier.otherukmvital:115894
dc.identifier.urihttps://ptsldigital.ukm.my/jspui/handle/123456789/578395-
dc.descriptionProlonged mechanical ventilation (PMV) is associated with increase in mortality and resource utilisation as well as hospitalisation costs. This study evaluates the risk factors of PMV. A retrospective study was conducted involving 890 paediatric patients comprising 237 neonates, 306 infants, 223 of pre-school age and 124 who are of school going age. The data mining decision trees algorithms and logistic regression was employed to develop predictive models for each age category. The independent variables were classified into four categories, that is, demographic data, admission factors, medical factors and score factors. The dependent variable is the duration of ventilation where it is categorized 0 denoting non-PMV and 1 denoting PMV. The performances of three decision tree models (CHAID, CART and C5.0) and logistic regression were compared to determine the best model. The results indicated that the decision tree outperformed the logistic regression model for all age categories, given its good accuracy rate for testing dataset. Decision trees results identified length of stay and inotropes as significant risk factors in all age categories. PRISM 12 hours and principal diagnosis were identified as significant risk factors for infants.
dc.language.isoen
dc.publisherUniversiti Putra Malaysia Press
dc.relation.haspartPertanika Journals
dc.relation.urihttp://www.pertanika.upm.edu.my/regular_issues.php?jtype=2&journal=JST-25-3-7
dc.rightsUKM
dc.subjectMechanical ventilation
dc.subjectProlonged mechanical ventilation
dc.subjectPaediatric
dc.subjectLogistic regression
dc.subjectDecision tree
dc.titleEvaluation of risk factors for prolonged invasive mechanical ventilation in Paediatric Intensive Care Unit (PICU)
dc.typeJournal Article
dc.format.volume25
dc.format.pages811-824
dc.format.issue3
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