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dc.contributor.authorSazali, Yaacob, Prof. Dr.
dc.contributor.authorMuhammad Nazri, Rejab
dc.contributor.authorAhmad Kadri, Junoh
dc.contributor.authorSyahrull Hi-Fi Syam, Ahmad Jamil
dc.contributor.authorShafriza Nisha, Basah, Dr.
dc.contributor.authorMuthusamy, Hariharan, Dr.
dc.contributor.authorJ, Ahmad
dc.contributor.authorMohd Lutfi, Mohd Khidir
dc.contributor.authorKu Mohd Yusri, Ku Ibrahim
dc.contributor.authorMuhammad Naufal, Mansor
dc.date.accessioned2014-04-21T06:14:38Z
dc.date.available2014-04-21T06:14:38Z
dc.date.issued2013
dc.identifier.citationWorld Congress on Medical Physics and Biomedical Engineering, vol. 39, 2012, pages 1252 – 1256en_US
dc.identifier.isbn978-3-642-29304-7 (Print)
dc.identifier.isbn978-3-642-29305-4 (Online)
dc.identifier.issn1680-0737
dc.identifier.urihttp://dspace.unimap.edu.my:80/dspace/handle/123456789/33880
dc.descriptionLink to publisher's homepage at http://link.springer.com/en_US
dc.description.abstractThis paper presents the management of sedation in critically ill infants is a complex issue for Intensive Care Units (ICU) worldwide. Notable complications of sedation practices have been identified and efforts to modify these practices in ICUs have begun. While sedation-scoring tools have been introduced into clinical practice in intensive care few have been tested for validity and reliability. One tool which has reliability and validity established is the Sedation-Agitation Scale (SAS). This study is an extension of a previous study by Riker, Picard and Fraser (1999) to determine whether doctors and nurses rate infants similarly using the SAS in a natural ICU setting. It is essential to establish whether these different professionals provide consistent scores and have a mutual understanding of the SAS and its constituent levels based on LDA and SVM Classifier. This will help ensure that clinical decisions relating to sedation-needs can be made appropriately and consistently.en_US
dc.language.isoenen_US
dc.publisherSpringer Berlin Heidelbergen_US
dc.subjectInfant cues recognitionen_US
dc.subjectAgitation levelen_US
dc.subjectLDA Classifieren_US
dc.subjectSVM classifieren_US
dc.titleAutomatically infant cues recognition based on LDA and SVM classifieren_US
dc.typeBook chapteren_US
dc.identifier.urlhttp://link.springer.com/chapter/10.1007%2F978-3-642-29305-4_328
dc.identifier.url10.1007/978-3-642-29305-4_328
dc.contributor.urls.yaacob@unimap.edu.myen_US
dc.contributor.urlshafriza@unimap.edu.myen_US
dc.contributor.urlhari@unimap.edu.myen_US
dc.contributor.urlkadri@unimap.edu.myen_US
dc.contributor.urlsyahrull30@yahoo.comen_US


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