Development of Artificial Intelligence Based Clinical Decision Support System on Medical Images for the Classification of COVID-19

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dc.contributor.authorÇolak, Cemil
dc.contributor.authorArslan, Ahmet Kadir
dc.contributor.authorUcuzal, Hasan
dc.contributor.authorKöse, Adem
dc.contributor.authorYıldırım, İsmail Okan
dc.contributor.authorGüldoğan, Emek
dc.contributor.authorÇolak, M. Cengiz
dc.date.accessioned2024-08-04T19:53:15Z
dc.date.available2024-08-04T19:53:15Z
dc.date.issued2023
dc.departmentİnönü Üniversitesien_US
dc.description.abstractAim: The first imaging method to play an vital role in the diagnosis of COVID-19 illness is the chest X-ray. Because of the abundance of large-scale annotated picture datasets, convolutional neural networks (CNNs) have shown considerable performance in image recognition/classification. The current study aims to construct a successful deep learning model that can distinguish COVID-19 from healthy controls using chest X-ray images.Material and Methods: The dataset in the study consists of subjects with 912 negative and 912 positive PCR results. A prediction model was built using VGG-16 with transfer learning for classifying COVID-19 chest X-ray images. The data set was split at random into 80% training and 20% testing groups.Results: The accuracy, F1 score, sensitivity, specificity, positive and negative values from the model that can successfully distinguish COVID-19 from healthy controls are 97.3%, 97.3%, 97.8%, 96.7%, 96.7%, and 97.8% regarding the testing dataset, respectively.Conclusion: The suggested technique might greatly improve on current radiology-based methodologies and serve as a beneficial tool for clinicians/radiologists in diagnosing and following up on COVID-19 patients.en_US
dc.identifier.doi10.37990/medr.1130194
dc.identifier.endpage23en_US
dc.identifier.issn2687-4555
dc.identifier.issue1en_US
dc.identifier.startpage20en_US
dc.identifier.trdizinid1196634en_US
dc.identifier.urihttps://doi.org/10.37990/medr.1130194
dc.identifier.urihttps://search.trdizin.gov.tr/yayin/detay/1196634
dc.identifier.urihttps://hdl.handle.net/11616/89610
dc.identifier.volume5en_US
dc.indekslendigikaynakTR-Dizinen_US
dc.language.isoenen_US
dc.relation.ispartofMedical records-international medical journal (Online)en_US
dc.relation.publicationcategoryMakale - Ulusal Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleDevelopment of Artificial Intelligence Based Clinical Decision Support System on Medical Images for the Classification of COVID-19en_US
dc.typeArticleen_US

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