{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T17:22:14Z","timestamp":1743009734079,"version":"3.40.3"},"publisher-location":"Cham","reference-count":12,"publisher":"Springer International Publishing","isbn-type":[{"type":"print","value":"9783030869724"},{"type":"electronic","value":"9783030869731"}],"license":[{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2021,1,1]],"date-time":"2021-01-01T00:00:00Z","timestamp":1609459200000},"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":[],"published-print":{"date-parts":[[2021]]},"DOI":"10.1007\/978-3-030-86973-1_19","type":"book-chapter","created":{"date-parts":[[2021,9,10]],"date-time":"2021-09-10T12:03:14Z","timestamp":1631275394000},"page":"270-284","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["A Decision Support System for Tuberculosis Prevalence in South Africa"],"prefix":"10.1007","author":[{"given":"Mulalo","family":"Razwiedani","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8353-8345","authenticated-orcid":false,"given":"Okuthe P.","family":"Kogeda","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2021,9,11]]},"reference":[{"key":"19_CR1","unstructured":"WHO: Tuberculosis Prevalence Surveys. World Health Organisation, New York (2014)"},{"issue":"4","key":"19_CR2","first-page":"5174","volume":"30","author":"M Kumari","year":"2014","unstructured":"Kumari, M., Rajan, V., Anshul, A.: Prediction of diabetes using Bayesian network. Int. J. Comput. Sci. Inf. Technol. 30(4), 5174\u20135178 (2014)","journal-title":"Int. J. Comput. Sci. Inf. Technol."},{"key":"19_CR3","doi-asserted-by":"crossref","unstructured":"Thakkar, B.A., Hasan, M.I., Desai, M.A.: Health care decision support system for swine flu prediction using Naives Bayes classifier, Spain (2010)","DOI":"10.1109\/ARTCom.2010.98"},{"key":"19_CR4","doi-asserted-by":"crossref","unstructured":"Palaniappan, S., Rafiah, A.: Intelligent heart disease prediction system using data mining techniques. In: IEEE\/ACS International Conference, Doha, pp. 108\u2013115 (2008)","DOI":"10.1109\/AICCSA.2008.4493524"},{"key":"19_CR5","first-page":"184","volume":"2013","author":"R Sharareh","year":"2013","unstructured":"Sharareh, R., Niakan, K., Xiao-Jun, Z.: Evaluation and comparison of different machine learning methods to predict outcome of tuberculosis treatment course. J. Intell. Learn. Syst. Appl. Suzhou 2013, 184\u2013193 (2013)","journal-title":"J. Intell. Learn. Syst. Appl. Suzhou"},{"key":"19_CR6","unstructured":"Kogeda, O.P., Agbinya, J.I., Omlin, C.W.: A probabilistic approach to faults prediction in cellular networks. In: International Conference on Systems and International Conference on Mobile Communications and Learning Technologies, Sydney (2006)"},{"key":"19_CR7","doi-asserted-by":"publisher","DOI":"10.1039\/9781849734363","volume-title":"Comprehensive Biomarker Discovery and Validation for Clinical Application","author":"P Horvatovich","year":"2013","unstructured":"Horvatovich, P., Bischoff, R.: Comprehensive Biomarker Discovery and Validation for Clinical Application. Royal Society of Chemistry, Cambridge (2013)"},{"key":"19_CR8","unstructured":"Margaritis, D.: Learning Bayesian Network Model Structure from Data. Carnegie Mellon University, Pittsburgh (2003)"},{"key":"19_CR9","volume-title":"The Unified Modeling Language User Guide","author":"G Booch","year":"1999","unstructured":"Booch, G., Jocobson, I., Rumbaugh, J.: The Unified Modeling Language User Guide. Addison-Wesley, Boston (1999)"},{"issue":"12","key":"19_CR10","first-page":"3163","volume":"12","author":"OG Achieng","year":"2017","unstructured":"Achieng, O.G., Kogeda, O.P., Lall, M.: A review of probabilistic modelling of pipeline leakage using Bayesian networks. J. Eng. Appl. Sci. 12(12), 3163\u20133173 (2017)","journal-title":"J. Eng. Appl. Sci."},{"key":"19_CR11","unstructured":"Kgoete, S.F., Kogeda, O.P.: A prediction model for mitigating tuberculosis infection for HIV patients at greater Tubatse local municipality in South Africa. In: The Proceedings of Southern Africa Telecommunication Networks and Applications Conference (SATNAC), Fairmont, Zimbali Resort in Ballito, KwaZulu-Natal, South Africa, 1\u20134 September 2019, pp. 240\u2013247 (2019)"},{"key":"19_CR12","unstructured":"Dladlu, N., Kogeda, O.P.: A decision support system for cancer prevalence in South Africa. In: The Proceedings of IEEE 8th International Conference on Computing Technology and Information Management (NCM & ICNIT), vol. 1: NCM Track, Grand Hilton Hotel, Seoul, Korea, 24\u201326 April 2012, pp. 532\u2013537 (2012)"}],"container-title":["Lecture Notes in Computer Science","Computational Science and Its Applications \u2013 ICCSA 2021"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-030-86973-1_19","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,1,22]],"date-time":"2022-01-22T08:04:48Z","timestamp":1642838688000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-030-86973-1_19"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021]]},"ISBN":["9783030869724","9783030869731"],"references-count":12,"URL":"https:\/\/doi.org\/10.1007\/978-3-030-86973-1_19","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2021]]},"assertion":[{"value":"11 September 2021","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"ICCSA","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"International Conference on Computational Science and Its Applications","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Cagliari","order":3,"name":"conference_city","label":"Conference City","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Italy","order":4,"name":"conference_country","label":"Conference Country","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"13 September 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"16 September 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"21","order":9,"name":"conference_number","label":"Conference Number","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"iccsa2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"https:\/\/iccsa.org\/","order":11,"name":"conference_url","label":"Conference URL","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"Single-blind","order":1,"name":"type","label":"Type","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Customed version of CyberChair 4","order":2,"name":"conference_management_system","label":"Conference Management System","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"1588","order":3,"name":"number_of_submissions_sent_for_review","label":"Number of Submissions Sent for Review","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"466","order":4,"name":"number_of_full_papers_accepted","label":"Number of Full Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"18","order":5,"name":"number_of_short_papers_accepted","label":"Number of Short Papers Accepted","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"29% - The value is computed by the equation \"Number of Full Papers Accepted \/ Number of Submissions Sent for Review * 100\" and then rounded to a whole number.","order":6,"name":"acceptance_rate_of_full_papers","label":"Acceptance Rate of Full Papers","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"2,5","order":7,"name":"average_number_of_reviews_per_paper","label":"Average Number of Reviews per Paper","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"8","order":8,"name":"average_number_of_papers_per_reviewer","label":"Average Number of Papers per Reviewer","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}},{"value":"Yes","order":9,"name":"external_reviewers_involved","label":"External Reviewers Involved","group":{"name":"ConfEventPeerReviewInformation","label":"Peer Review Information (provided by the conference organizers)"}}]}}