Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Articles Article Faculty Publications -Articles Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Early diagnosis of COVID-19 patients using deep learning-based deep forest model Subject The topic of the resource CNN; COVID-19; deep forest; deep learning; ResNet101; testing Description An account of the resource Coronavirus disease-19 (COVID-19) has rapidly spread all over the world. It is found that the low sensitivity of reverse transcription-polymerase chain reaction (RT-PCR) examinations during the early stage of COVID-19 disease. Thus, efficient models are desirable for early-stage testing of COVID-19 infected patients. Chest X-ray (CXR) images of COVID-19 infected patients have shown some bilateral changes. In this paper, deep transfer learning and a deep forest-based model are proposed to diagnose COVID-19 infection from CXR images. Initially, features of X-ray images are extracted using the well-known deep transfer learning model (i.e., ResNet101), which does not require tuning many parameters compared to the deep convolutional neural network (CNN). After that, the deep forest model is utilised to predict COVID-19 infected patients. The deep forest is based upon ensemble learning and requires a small number of hyper-parameters. Additionally, the proposed model is trained on a multi-class dataset that contains four different classes as COVID-19 (+), pneumonia, tuberculosis, and healthy patients. The comparisons are drawn among the proposed deep transfer learning and deep forest-based models, the competitive models. The obtained results show that the proposed model effectively diagnoses COVID-19 infection with an accuracy of 99.4%. 2022 Informa UK Limited, trading as Taylor &amp; Francis Group. Creator An entity primarily responsible for making the resource Singh D.; Kumar V.; Kaur M.; Kumari R. Source A related resource from which the described resource is derived Journal of Experimental and Theoretical Artificial Intelligence, Vol-35, No. 3, pp. 365-375. Publisher An entity responsible for making the resource available Taylor and Francis Ltd. Date A point or period of time associated with an event in the lifecycle of the resource 2023-01-01 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1080/0952813X.2021.2021300" target="_blank" rel="noreferrer noopener">https://doi.org/10.1080/0952813X.2021.2021300</a> <br /><br /><a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122534137&amp;doi=10.1080%2F0952813X.2021.2021300&amp;partnerID=40&amp;md5=fefc5a2cac88c9d9164474da0f4979f4" target="_blank" rel="noreferrer noopener">https://www.scopus.com/inward/record.uri?eid=2-s2.0-85122534137&amp;doi=10.1080%2f0952813X.2021.2021300&amp;partnerID=40&amp;md5=fefc5a2cac88c9d9164474da0f4979f4</a> Rights Information about rights held in and over the resource Restricted Access Relation A related resource ISSN: 0952813X Format The file format, physical medium, or dimensions of the resource Online Language A language of the resource English Type The nature or genre of the resource Article Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Singh D., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea; Kumar V., Department of Computer Science &amp; Engineering, National Institute of Technology Hamirpur, Hamirpur, India; Kaur M., School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology, Gwangju, South Korea; Kumari R., Department of Computer Science, Christ (Deemed to Be University), Bangalore, India