{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,7]],"date-time":"2025-11-07T09:47:18Z","timestamp":1762508838443},"reference-count":55,"publisher":"Informa UK Limited","issue":"7","content-domain":{"domain":["www.tandfonline.com"],"crossmark-restriction":true},"short-container-title":["Journal of Experimental &amp; Theoretical Artificial Intelligence"],"published-print":{"date-parts":[[2024,10,2]]},"DOI":"10.1080\/0952813x.2022.2125079","type":"journal-article","created":{"date-parts":[[2022,9,25]],"date-time":"2022-09-25T06:38:05Z","timestamp":1664087885000},"page":"1101-1119","update-policy":"http:\/\/dx.doi.org\/10.1080\/tandf_crossmark_01","source":"Crossref","is-referenced-by-count":1,"title":["A novel e-healthcare diagnosing system for COVID-19 via whale optimization algorithm"],"prefix":"10.1080","volume":"36","author":[{"given":"S.","family":"Punitha","sequence":"first","affiliation":[{"name":"Department of Computer Science and Engineering, Graphics Era Deemed to be University, Dehradun, India"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fadi","family":"Al-Turjman","sequence":"additional","affiliation":[{"name":"Artificial Intelligence Engineering Department of AI and Robotics Institute, Near East University, Nicosia, Turkey"},{"name":"Research Center for AI and IoT, Faculty of Engineering, University of Kyrenia, Kyrenia, Turkey"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Thompson","family":"Stephan","sequence":"additional","affiliation":[{"name":"Department of Computer Science and Engineering, Faculty of Engineering and Technology, M. S. Ramaiah University of Applied Sciences, Bangalore, India"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"301","published-online":{"date-parts":[[2022,9,24]]},"reference":[{"key":"e_1_3_2_2_1","article-title":"Hoffman (2020)increasing access to care: Telehealth during covid- 19","author":"A D.","unstructured":"A, D. Hoffman (2020)increasing access to care: Telehealth during covid- 19. Journal of Law and the Biosciences.","journal-title":"Journal of Law and the Biosciences"},{"key":"e_1_3_2_3_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.comcom.2019.12.030"},{"key":"e_1_3_2_4_1","doi-asserted-by":"publisher","DOI":"10.1109\/TMI.2016.2535865"},{"key":"e_1_3_2_5_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13246-020-00865-4"},{"key":"e_1_3_2_6_1","doi-asserted-by":"publisher","DOI":"10.1159\/000455011"},{"key":"e_1_3_2_7_1","doi-asserted-by":"publisher","DOI":"10.15420\/cfr.2019.14"},{"key":"e_1_3_2_8_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020201491"},{"key":"e_1_3_2_9_1","doi-asserted-by":"publisher","DOI":"10.1177\/1932296820929391"},{"key":"e_1_3_2_10_1","doi-asserted-by":"crossref","unstructured":"Bernheim A. Mei X. Huang M. Yang Y. Fayad Z. A. Zhang N. Diao K. Lin B. Zhu X. & Li K. et al. (2020)Chest ct findings in coron-avirus disease-19 (covid-19)relationship to duration of infection Radiology p. 200463.","DOI":"10.1148\/radiol.2020200463"},{"key":"e_1_3_2_11_1","doi-asserted-by":"crossref","unstructured":"Bullock J. Pham K. H. Lam C. S. N. & Luengo-Oroz M. et al. (2020) Mapping the landscape of artificial intelligence applications againstcovid-19 arXiv preprint arXiv. 11336.","DOI":"10.1613\/jair.1.12162"},{"key":"e_1_3_2_12_1","first-page":"1","article-title":"Deep learning system to screen coronavirus disease 2019 pneumonia","author":"Butt C.","year":"2020","unstructured":"Butt, C., Gill, J., Chun, D., & Babu, B. A. (2020). Deep learning system to screen coronavirus disease 2019 pneumonia. Applied Intelligence, 1.","journal-title":"Applied Intelligence"},{"key":"e_1_3_2_13_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2880838"},{"key":"e_1_3_2_14_1","first-page":"16","volume-title":"IEEE reviews in biomedical engineering","volume":"14","author":"Dong D.","year":"2020","unstructured":"Dong, D., Tang, Z., Wang, S., Hui, H., Gong, L., Lu, Y., Xue, Z., Liao, H., Chen, F., & Yang, F., et al. (2020), The role of imaging in the detection and management of covid-19: A review, IEEE reviews in biomedical engineering, 14, 16\u201329."},{"key":"e_1_3_2_15_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11227-018-2512-5"},{"key":"e_1_3_2_16_1","unstructured":"Gozes O. Frid-Adar M. Greenspan H. Browning P. D. Zhang H. Ji W. Bernheim A. & Siegel E. (2020). Rapid ai development cycle for the coronavirus (covid-19) pandemic: Initial results for automated detection & patient monitoring using deep learning ct image analysis. arXiv preprint arXiv:2003.05037."},{"key":"e_1_3_2_17_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11427-020-1661-4"},{"key":"e_1_3_2_18_1","doi-asserted-by":"publisher","DOI":"10.12968\/bjhc.2020.0047"},{"key":"e_1_3_2_19_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsx.2020.06.023"},{"issue":"4","key":"e_1_3_2_20_1","first-page":"240","article-title":"Internet of medical things (iomt): Applications, benefits and future challenges in healthcare domain","volume":"12","author":"Joyia G. J.","year":"2017","unstructured":"Joyia, G. J., Liaqat, R. M., Farooq, A., & Rehman, S. (2017). Internet of medical things (iomt): Applications, benefits and future challenges in healthcare domain. The Journal of Communication, 12(4), 240\u2013247.","journal-title":"The Journal of Communication"},{"key":"e_1_3_2_21_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200241"},{"key":"e_1_3_2_22_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2019.01.033"},{"key":"e_1_3_2_23_1","doi-asserted-by":"publisher","DOI":"10.1089\/omi.2020.0047"},{"key":"e_1_3_2_24_1","unstructured":"Li L. Qin L. Xu Z. Yin Y. Wang X. Kong B. Bai J. Lu Y. Fang Z. & Song Q. et al (2020) Artificial intelligence distinguishes covid- 19 from community acquired pneumonia on chest ct Radiology."},{"key":"e_1_3_2_25_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10586-017-0982-5"},{"key":"e_1_3_2_26_1","doi-asserted-by":"crossref","unstructured":"Manogaran G. Lopez D. & Chilamkurti N. In-Mapper combiner based mapreduce algorithm for processing of big climatedata Apr 2018. [Online]. Available: https:\/\/www.sciencedirect. com\/science\/article\/pii\/S0167739X17324639","DOI":"10.1016\/j.future.2018.02.048"},{"key":"e_1_3_2_27_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11277-017-5044-z"},{"key":"e_1_3_2_28_1","unstructured":"Marr B. (2018). Why the internet of medical things (iomt) will start to transform healthcare in https:\/\/www.forbes.com\/sites\/bernardmarr\/2018\/01\/25\/why-the-internet-of-medical-things-iomt-will-start-to-transform-healthcare-in-2018\/?sh=5a655f334a3c."},{"key":"e_1_3_2_29_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41591-020-0931-3"},{"key":"e_1_3_2_30_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijnurstu.2017.01.009"},{"key":"e_1_3_2_31_1","doi-asserted-by":"publisher","DOI":"10.1007\/s13670-015-0136-7"},{"key":"e_1_3_2_32_1","doi-asserted-by":"crossref","unstructured":"Mirjalili S. & Lewis A. 2016)The whale optimization algorithm Advances in engineering software 95 51\u201367.","DOI":"10.1016\/j.advengsoft.2016.01.008"},{"key":"e_1_3_2_33_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.ijleo.2021.167572"},{"key":"e_1_3_2_34_1","doi-asserted-by":"publisher","DOI":"10.1007\/s10044-021-00984-y"},{"key":"e_1_3_2_35_1","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-13-2324-9_16"},{"key":"e_1_3_2_36_1","doi-asserted-by":"publisher","DOI":"10.1109\/EMBC.2019.8856631"},{"key":"e_1_3_2_38_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.bspc.2020.102149"},{"key":"e_1_3_2_39_1","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3002176"},{"key":"e_1_3_2_40_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103792"},{"key":"e_1_3_2_41_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.patrec.2020.10.001"},{"key":"e_1_3_2_42_1","doi-asserted-by":"publisher","DOI":"10.3390\/app8101715"},{"key":"e_1_3_2_43_1","volume-title":"Internet of medical things (iomt) with machine learning\u2013 based covid-19 diagnosis model using chest x-ray images, in Data Science for COVID-19","author":"Rani S. S.","year":"2021","unstructured":"Rani, S. S., Selvakumar, S., Kumar, K. P. M., Tai, D. T., & Dchelvi, E. (2021). Internet of medical things (iomt) with machine learning\u2013 based covid-19 diagnosis model using chest x-ray images, in Data Science for COVID-19 (pp. 627\u2013641). Elsevier."},{"key":"e_1_3_2_44_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.iot.2021.100377"},{"key":"e_1_3_2_45_1","unstructured":"Sethy P. K. & K S. Behera Detection of coronavirus disease (covid-19) based on deep features [Online]. Available: https:\/\/www.preprints.org\/manuscript\/202003.0300\/v1"},{"key":"e_1_3_2_46_1","unstructured":"Shan F. Gao Y. Wang J. Shi W. Shi N. Han M. Xue Z. & Shi Y. (2020). Lung infection quantification of covid-19 in ct images with deep learning. arXiv preprint arXiv:2003.04655."},{"key":"e_1_3_2_47_1","volume-title":"segmentation and diagnosis for covid-19, IEEE reviews in biomedical engineering","author":"Shi F.","year":"2020","unstructured":"Shi, F., Wang, J., Shi, J., Wu, Z., Wang, Q., Tang, Z., He, K., Shi, Y., & Shen, D.(2020), Review of artificial intelligence techniques in imaging data acquisition, segmentation and diagnosis for covid-19, IEEE reviews in biomedical engineering."},{"key":"e_1_3_2_48_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jcot.2020.05.011"},{"key":"e_1_3_2_49_1","first-page":"1","article-title":"Classification of covid-19 patients from chest ct images using multi-objective differential evolution\u2013based convolutional neural networks","author":"Singh D.","year":"2020","unstructured":"Singh, D., Kumar, V., & Kaur, M. (2020). Classification of covid-19 patients from chest ct images using multi-objective differential evolution\u2013based convolutional neural networks. European Journal of Clinical Microbiology & Infectious Diseases, 1\u201311.","journal-title":"European Journal of Clinical Microbiology & Infectious Diseases"},{"key":"e_1_3_2_50_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.dsx.2020.06.014"},{"key":"e_1_3_2_51_1","unstructured":"UCSD-AI4H Ucsd-ai4h\/covid-ct. [Online]. Available: https:\/\/github.com\/UCSD-AI4H\/COVID-CT."},{"volume-title":"Covid-19, sensors, and internet of medical things (iomt) in Internet of Things and SensorNetwork for COVID-19","author":"Udgata S. K.","key":"e_1_3_2_52_1","unstructured":"Udgata, S. K., & Suryadevara, N. K. Covid-19, sensors, and internet of medical things (iomt) in Internet of Things and SensorNetwork for COVID-19 (39\u201353). Springer."},{"issue":"8","key":"e_1_3_2_53_1","first-page":"36096","article-title":"A deep learning algorithm using ct images to screen for corona virus disease (covid-19) MedRxiv","volume":"31","author":"Wang S.","year":"2020","unstructured":"Wang, S., Kang, B., Ma, J., Zeng, X., Xiao, M., Guo, J., Cai, M., Yang, J., Li, Y., & Meng, X., et al. (2020). A deep learning algorithm using ct images to screen for corona virus disease (covid-19) MedRxiv Eur Radiol 31 8 36096\u20136104.","journal-title":"Eur Radiol"},{"key":"e_1_3_2_54_1","doi-asserted-by":"publisher","DOI":"10.1038\/s41598-020-76550-z"},{"key":"e_1_3_2_55_1","doi-asserted-by":"publisher","DOI":"10.1148\/radiol.2020200343"},{"key":"e_1_3_2_56_1","doi-asserted-by":"crossref","unstructured":"Yang T. Gentile M. Shen C.-F. & Cheng C.-M. (2020). Combining joint-of-care diagnostics and internet of medical things (iomt) to combat the covid-19 pandemic.","DOI":"10.3390\/diagnostics10040224"},{"key":"e_1_3_2_57_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00330-019-06163-2"}],"container-title":["Journal of Experimental &amp; Theoretical Artificial Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.tandfonline.com\/doi\/pdf\/10.1080\/0952813X.2022.2125079","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,22]],"date-time":"2024-09-22T13:14:19Z","timestamp":1727010859000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.tandfonline.com\/doi\/full\/10.1080\/0952813X.2022.2125079"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,9,24]]},"references-count":55,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2024,10,2]]}},"alternative-id":["10.1080\/0952813X.2022.2125079"],"URL":"https:\/\/doi.org\/10.1080\/0952813x.2022.2125079","relation":{},"ISSN":["0952-813X","1362-3079"],"issn-type":[{"type":"print","value":"0952-813X"},{"type":"electronic","value":"1362-3079"}],"subject":[],"published":{"date-parts":[[2022,9,24]]},"assertion":[{"value":"The publishing and review policy for this title is described in its Aims & Scope.","order":1,"name":"peerreview_statement","label":"Peer Review Statement"},{"value":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","URL":"http:\/\/www.tandfonline.com\/action\/journalInformation?show=aimsScope&journalCode=teta20","order":2,"name":"aims_and_scope_url","label":"Aim & Scope"},{"value":"2020-08-30","order":0,"name":"received","label":"Received","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-09-11","order":2,"name":"accepted","label":"Accepted","group":{"name":"publication_history","label":"Publication History"}},{"value":"2022-09-24","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}