A deep learning approach to differentiate between acute asthma and bronchitis in preschool children

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dc.contributor.authorSalih, Waleed
dc.contributor.authorKoyuncu, Hakan
dc.date.accessioned2022-12-25T13:35:28Z
dc.date.available2022-12-25T13:35:28Z
dc.date.issued2022en_US
dc.departmentEnstitüler, Lisansüstü Eğitim Enstitüsü, Bilişim Teknolojileri Ana Bilim Dalıen_US
dc.description.abstractAcute asthma and bronchitis are common diseases and spread rapid that affecting children all around the world, especially in preschool children (under six years), most people confuse between the two diseases due overlapping symptoms, where it is difficult to diagnose cases by junior doctors in the hospitals and the wrong diagnosis sometimes leads to death, the main objective of this study is the right diagnosis of cases and differentiation between them, to preserve the lives of children and reduce the spread of disease which saves effort, time and money for the health institutions, in this study we will present two deep learning models for binary classification of real dataset that collected in the teaching hospital for children afflicted, which was examined by a pediatrician consultant, the final results showed that the convolutional neural network model (CNN) outperformed with 99.350% accuracy to the second classifier the long short-term memory model (LSTM), thus the CNN was adopted as a binary classification model for our study.en_US
dc.identifier.citationSalih, W., Koyuncu, H. (2022). A deep learning approach to differentiate between acute asthma and bronchitis in preschool children. In 2022 International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT) (pp. 380-385). IEEE.en_US
dc.identifier.endpage385en_US
dc.identifier.isbn9781665470131
dc.identifier.scopus2-s2.0-85142823146
dc.identifier.scopusqualityN/A
dc.identifier.startpage380en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/3152
dc.indekslendigikaynakScopus
dc.institutionauthorSalih, Waleed
dc.institutionauthorKoyuncu, Hakan
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofISMSIT 2022 - 6th International Symposium on Multidisciplinary Studies and Innovative Technologies, Proceedings
dc.relation.isversionof10.1109/ISMSIT56059.2022.9932800en_US
dc.relation.publicationcategoryKonferans Öğesi - Ulusal - İdari Personel ve Öğrencien_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAcute Asthmaen_US
dc.subjectAcute Bronchitisen_US
dc.subjectCNNen_US
dc.subjectDeep Learningen_US
dc.subjectLSTMen_US
dc.subjectPreschool Childrenen_US
dc.titleA deep learning approach to differentiate between acute asthma and bronchitis in preschool children
dc.typeConference Object

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