{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,24]],"date-time":"2026-01-24T19:22:40Z","timestamp":1769282560872,"version":"3.49.0"},"reference-count":17,"publisher":"Springer Science and Business Media LLC","issue":"7","license":[{"start":{"date-parts":[[2020,5,25]],"date-time":"2020-05-25T00:00:00Z","timestamp":1590364800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2020,5,25]],"date-time":"2020-05-25T00:00:00Z","timestamp":1590364800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["J Med Syst"],"published-print":{"date-parts":[[2020,7]]},"DOI":"10.1007\/s10916-020-01582-x","type":"journal-article","created":{"date-parts":[[2020,5,25]],"date-time":"2020-05-25T23:04:29Z","timestamp":1590447869000},"update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":217,"title":["Role of biological Data Mining and Machine Learning Techniques in Detecting and Diagnosing the Novel Coronavirus (COVID-19): A Systematic Review"],"prefix":"10.1007","volume":"44","author":[{"given":"A. S.","family":"Albahri","sequence":"first","affiliation":[]},{"given":"Rula A.","family":"Hamid","sequence":"additional","affiliation":[]},{"given":"Jwan k.","family":"Alwan","sequence":"additional","affiliation":[]},{"given":"Z.T.","family":"Al-qays","sequence":"additional","affiliation":[]},{"given":"A. A.","family":"Zaidan","sequence":"additional","affiliation":[]},{"given":"B. B.","family":"Zaidan","sequence":"additional","affiliation":[]},{"given":"A O. S.","family":"Albahri","sequence":"additional","affiliation":[]},{"given":"A. H.","family":"AlAmoodi","sequence":"additional","affiliation":[]},{"given":"Jamal Mawlood","family":"Khlaf","sequence":"additional","affiliation":[]},{"given":"E. M.","family":"Almahdi","sequence":"additional","affiliation":[]},{"given":"Eman","family":"Thabet","sequence":"additional","affiliation":[]},{"given":"Suha M.","family":"Hadi","sequence":"additional","affiliation":[]},{"given":"K I.","family":"Mohammed","sequence":"additional","affiliation":[]},{"given":"M. A.","family":"Alsalem","sequence":"additional","affiliation":[]},{"given":"Jameel R.","family":"Al-Obaidi","sequence":"additional","affiliation":[]},{"given":"H.T.","family":"Madhloom","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2020,5,25]]},"reference":[{"key":"1582_CR1","unstructured":"Centers for Disease Control and Prevention, \u201cCoronavirus Disease 2019 (COVID-19) Situation Summary,\u201d Published 2020. [Online]. Available: https:\/\/www.cdc.gov\/coronavirus\/2019-ncov\/summary.html#background."},{"key":"1582_CR2","doi-asserted-by":"crossref","unstructured":"D. Wu, T. Wu, Q. Liu, and Z. Yang, \u201cThe SARS-CoV-2 outbreak: what we know,\u201d Int. J. Infect. Dis., 2020.","DOI":"10.1016\/j.ijid.2020.03.004"},{"issue":"3","key":"1582_CR3","doi-asserted-by":"publisher","first-page":"210","DOI":"10.3390\/v11030210","volume":"11","author":"Y Fan","year":"2019","unstructured":"Y. Fan, K. Zhao, Z. L. Shi, and P. Zhou, \u201cBat coronaviruses in China,\u201d Viruses, vol. 11, no. 3, p. 210, 2019.","journal-title":"Viruses"},{"issue":"6","key":"1582_CR4","doi-asserted-by":"publisher","first-page":"744","DOI":"10.1016\/j.jiph.2016.09.007","volume":"9","author":"I Al-Turaiki","year":"2016","unstructured":"I. Al-Turaiki, M. Alshahrani, and T. Almutairi, \u201cBuilding predictive models for MERS-CoV infections using data mining techniques,\u201d J. Infect. Public Health, vol. 9, no. 6, pp. 744\u2013748, 2016.","journal-title":"J. Infect. Public Health"},{"issue":"20","key":"1582_CR5","doi-asserted-by":"publisher","first-page":"1967","DOI":"10.1056\/NEJMoa030747","volume":"348","author":"C Drosten","year":"2003","unstructured":"C. Drosten et al., \u201cIdentification of a novel coronavirus in patients with severe acute respiratory syndrome,\u201d N. Engl. J. Med., vol. 348, no. 20, pp. 1967\u20131976, 2003.","journal-title":"N. Engl. J. Med."},{"issue":"7700","key":"1582_CR6","doi-asserted-by":"publisher","first-page":"255","DOI":"10.1038\/s41586-018-0010-9","volume":"556","author":"P Zhou","year":"2018","unstructured":"P. Zhou et al., \u201cFatal swine acute diarrhoea syndrome caused by an HKU2-related coronavirus of bat origin,\u201d Nature, vol. 556, no. 7700, pp. 255\u2013259, 2018.","journal-title":"Nature"},{"issue":"10","key":"1582_CR7","doi-asserted-by":"publisher","first-page":"719","DOI":"10.1038\/s41551-018-0305-z","volume":"2","author":"KH Yu","year":"2018","unstructured":"K. H. Yu, A. L. Beam, and I. S. Kohane, \u201cArtificial intelligence in healthcare,\u201d Nat. Biomed. Eng., vol. 2, no. 10, pp. 719\u2013731, 2018.","journal-title":"Nat. Biomed. Eng."},{"key":"1582_CR8","doi-asserted-by":"crossref","first-page":"1070","DOI":"10.1007\/978-3-030-01054-6_74","volume":"868","author":"A AlMoammar","year":"2018","unstructured":"A. AlMoammar, L. AlHenaki, and H. Kurdi, \u201cSelecting accurate classifier models for a MERS-CoV dataset,\u201d Adv. Intell. Syst. Comput., vol. 868, pp. 1070\u20131084, 2018.","journal-title":"Adv. Intell. Syst. Comput."},{"issue":"3","key":"1582_CR9","doi-asserted-by":"publisher","first-page":"59","DOI":"10.1007\/s10916-020-1536-6","volume":"44","author":"JB Long","year":"2020","unstructured":"J. B. Long and J. M. Ehrenfeld, \u201cThe Role of Augmented Intelligence (AI) in Detecting and Preventing the Spread of Novel Coronavirus,\u201d J. Med. Syst., vol. 44, no. 3, p. 59, 2020.","journal-title":"J. Med. Syst."},{"issue":"5","key":"1582_CR10","doi-asserted-by":"publisher","first-page":"336","DOI":"10.1016\/j.ijsu.2010.02.007","volume":"8","author":"D Moher","year":"2010","unstructured":"D. Moher, A. Liberati, J. Tetzlaff, and D. G. Altman, \u201cPreferred reporting items for systematic reviews and meta-analyses: The PRISMA statement,\u201d Int. J. Surg., vol. 8, no. 5, pp. 336\u2013341, 2010.","journal-title":"Int. J. Surg."},{"key":"1582_CR11","unstructured":"N. Almansour, H. Kurdia, N. Almansour, and H. Kurdia, \u201cIdentifying accurate classifier models for a text-based MERS-CoV dataset,\u201d in 2017 Intelligent Systems Conference, IntelliSys 2017, 2018, vol. 2018-Janua, pp. 430\u2013435."},{"issue":"5","key":"1582_CR12","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1016\/j.jiph.2019.03.020","volume":"12","author":"M John","year":"2019","unstructured":"M. John and H. Shaiba, \u201cMain factors influencing recovery in MERS Co-V patients using machine learning,\u201d J. Infect. Public Health, vol. 12, no. 5, pp. 700\u2013704, 2019.","journal-title":"J. Infect. Public Health"},{"key":"1582_CR13","doi-asserted-by":"publisher","first-page":"50","DOI":"10.1016\/j.ymeth.2017.07.027","volume":"129","author":"S Choi","year":"2017","unstructured":"S. Choi, J. Lee, M. G. Kang, H. Min, Y. S. Chang, and S. Yoon, \u201cLarge-scale machine learning of media outlets for understanding public reactions to nation-wide viral infection outbreaks,\u201d Methods, vol. 129, pp. 50\u201359, 2017.","journal-title":"Methods"},{"key":"1582_CR14","unstructured":"M. Abdullah, M. S. Altheyab, A. M. A. Lattas, and W. F. Algashmari, \u201cMERS-CoV disease estimation (MDE) A study to estimate a MERS-CoV by classification algorithms,\u201d in Communication, Management and Information Technology - Proceedings of the International Conference on Communication, Management and Information Technology, ICCMIT 2016, 2017, pp. 633\u2013638."},{"key":"1582_CR15","doi-asserted-by":"crossref","unstructured":"S. Jang, S. Lee, S. M. Choi, J. Seo, H. Choi, and T. Yoon, \u201cComparison between SARS CoV and MERS CoV Using apriori algorithm, decision tree, SVM,\u201d in MATEC Web Conf., 2016, vol. 49, p. 8001.","DOI":"10.1051\/matecconf\/20164908001"},{"issue":"8","key":"1582_CR16","doi-asserted-by":"publisher","first-page":"3033","DOI":"10.1007\/s11227-015-1474-0","volume":"72","author":"R Sandhu","year":"2016","unstructured":"R. Sandhu, S. K. Sood, and G. Kaur, \u201cAn intelligent system for predicting and preventing MERS-CoV infection outbreak,\u201d J. Supercomput., vol. 72, no. 8, pp. 3033\u20133056, 2016.","journal-title":"J. Supercomput."},{"issue":"4","key":"1582_CR17","doi-asserted-by":"publisher","first-page":"427","DOI":"10.1016\/j.ipm.2009.03.002","volume":"45","author":"M Sokolova","year":"2009","unstructured":"M. Sokolova and G. Lapalme, \u201cA systematic analysis of performance measures for classification tasks,\u201d Inf. Process. Manag., vol. 45, no. 4, pp. 427\u2013437, 2009.","journal-title":"Inf. Process. Manag."}],"container-title":["Journal of Medical Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-020-01582-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10916-020-01582-x\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10916-020-01582-x.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T13:08:38Z","timestamp":1696165718000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10916-020-01582-x"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,25]]},"references-count":17,"journal-issue":{"issue":"7","published-print":{"date-parts":[[2020,7]]}},"alternative-id":["1582"],"URL":"https:\/\/doi.org\/10.1007\/s10916-020-01582-x","relation":{},"ISSN":["0148-5598","1573-689X"],"issn-type":[{"value":"0148-5598","type":"print"},{"value":"1573-689X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,25]]},"assertion":[{"value":"14 March 2020","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"27 April 2020","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"25 May 2020","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"The authors declare no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and\/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Informed consent was obtained from all individual participants included in the study","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Informed consent"}},{"value":"This content has been made available to all.","name":"free","label":"Free to read"}],"article-number":"122"}}