{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,15]],"date-time":"2026-02-15T08:49:46Z","timestamp":1771145386489,"version":"3.50.1"},"reference-count":43,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,3,1]],"date-time":"2023-03-01T00:00:00Z","timestamp":1677628800000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,3]]},"DOI":"10.1109\/ictas56421.2023.10082734","type":"proceedings-article","created":{"date-parts":[[2023,4,3]],"date-time":"2023-04-03T17:26:24Z","timestamp":1680542784000},"page":"1-5","source":"Crossref","is-referenced-by-count":12,"title":["Application of machine learning techniques for predicting child mortality and identifying associated risk factors"],"prefix":"10.1109","author":[{"given":"Elliot","family":"Mbunge","sequence":"first","affiliation":[{"name":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Stephen G","family":"Fashoto","sequence":"additional","affiliation":[{"name":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Benhildah","family":"Muchemwa","sequence":"additional","affiliation":[{"name":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Richard C","family":"Millham","sequence":"additional","affiliation":[{"name":"University of Technology,Faculty of Accounting and Informatics Durban,Department of Information,Umlazi,South Africa,4031"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Garikayi","family":"Chemhaka","sequence":"additional","affiliation":[{"name":"University of Eswatini,Faculty of Social Sciences,Department of Statistics and Demography,Eswatini"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Maureen Nokuthula","family":"Sibiya","sequence":"additional","affiliation":[{"name":"University of Technology,Research, Innovation and Engagement, Mangosuthu,Umlazi,South Africa,4031"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Tafadzwa","family":"Dzinamarira","sequence":"additional","affiliation":[{"name":"ICAP,Harare,Zimbabwe"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jolly","family":"Buwerimwe","sequence":"additional","affiliation":[{"name":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s13040-022-00308-8","article-title":"Machine Learning Algorithms for understanding the determinants of under-five Mortality","volume":"15","author":"Saroj","year":"2022","journal-title":"BioData Min"},{"key":"ref2","first-page":"117","article-title":"Determinants of under-five mortality in Gilgel Gibe Field Research Center, Southwest Ethiopia","volume":"21","author":"Deribew","year":"2007","journal-title":"Ethiop J Heal Dev"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"e040132","DOI":"10.1136\/bmjopen-2020-040132","article-title":"Prediction of perinatal death using machine learning models: a birth registry-based cohort study in northern Tanzania","volume":"10","author":"Mboya","year":"2020","journal-title":"BMJ Open"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0205977"},{"key":"ref5","first-page":"1","article-title":"Predictive model and determinants of under-five child mortality: Evidence from the 2014 Ghana demographic and health survey","volume":"19","author":"JMK","year":"2019","journal-title":"BMC Public Health"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s12889-021-11569-z","article-title":"Preceding child survival status and its effect on infant and child mortality in India: An evidence from National Family Health Survey 2015\u201316","volume":"21","author":"Srivastava","year":"2021","journal-title":"BMC Public Health"},{"key":"ref7","first-page":"1","article-title":"Predictive model of under-five mortality in developing countries: evidence from multiple indicators cluster survey Punjab","author":"Nadeem","year":"2021","journal-title":"Qual Quant 2021"},{"key":"ref8","first-page":"61","article-title":"Levels and trends in under-five mortality in Zimbabwe: Findings from an analysis of recent Demographic and Health Surveys","volume":"67","author":"Kembo","year":"2011","journal-title":"Genus"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1186\/1471-2393-12-10"},{"key":"ref10","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1186\/s41118-020-00106-2","article-title":"Machine learning approach for predicting under-five mortality determinants in Ethiopia: evidence from the 2016 Ethiopian Demographic and Health Survey","volume":"76","author":"Bitew","year":"2020","journal-title":"Genus"},{"key":"ref11","first-page":"94","article-title":"Predicting Diarrhoea Among Children Under Five Years Using Machine Learning Techniques","author":"Mbunge","journal-title":"Lect Notes Networks Syst 2022"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1093\/heapol\/czs143"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.2147\/phmt.s231608"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1177\/0962280218767988"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jhealeco.2015.08.003"},{"key":"ref16","volume-title":"Zimbabwe -2022 | MacroTrends n.d.","year":"2022"},{"key":"ref17","first-page":"707","article-title":"Can religion kill? The association between membership of the Apostolic faith and child mortality in Zimbabwe","volume":"9","author":"Ha","year":"2018","journal-title":"J Public Health Africa"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1017\/s0021932016000298"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.9734\/ajpr\/2020\/v3i330129"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1002\/fsn3.2596"},{"key":"ref21","first-page":"16","article-title":"Predictive analytics framework for accurate estimation of child mortality rates for Internet of Things enabled smart healthcare systems","author":"Islam","year":"2020","journal-title":"Int J Distrib Sens Networks"},{"key":"ref22","first-page":"963","article-title":"Identifying Factors Associated with Neonatal Mortality in Sub-Saharan Africa using Machine Learning","volume-title":"AMIA Annu Symp Proc 2020","author":"Ogallo","year":"2020"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"331","DOI":"10.1007\/978-981-16-2102-4_31","article-title":"Implementing Predictive Model for Child Mortality in Afghanistan","volume":"217","author":"Nasrat","year":"2022","journal-title":"Lect Notes Networks Syst"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1038\/s41746-021-00479-4"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/icabcd54961.2022.9855907"},{"key":"ref26","volume":"44","year":"2016","journal-title":"Zimbabwe Demographic and Health Survey Report"},{"key":"ref27","first-page":"395","article-title":"The impact of prenatal care quality on neonatal, infant and child mortality in Zimbabwe: evidence from the demographic and health surveys","volume":"32","author":"Makate","year":"2017","journal-title":"Health Policy Plan"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/ictas53252.2022.9744657"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/access.2020.3006710"},{"key":"ref30","first-page":"36","article-title":"Accurate prediction of sugarcane yield using a random forest algorithm","author":"Everingham","year":"2016","journal-title":"Agron Sustain Dev"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.14419\/ijet.v7i4.20.22115"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1142\/9097"},{"key":"ref33","author":"Brownlee","year":"2016","journal-title":"Machine learning algorithms from scratch with python"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/2939672.2939785"},{"key":"ref35","author":"Yu","journal-title":"Research on Student Performance Prediction Based on Stacking Fusion Model 2022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1016\/j.asoc.2018.09.029"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"247","DOI":"10.1007\/978-3-031-09076-9_24","article-title":"Predicting HIV Status Using Machine Learning Techniques and Bio-Behavioural Data from the Zimbabwe Population-Based HIV Impact Assessment (ZIMPHIA15\u201316)","author":"Chingombe","year":"2022","journal-title":"Lect Notes Networks Syst"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.3390\/tropicalmed7090231"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1016\/j.compbiomed.2020.103761"},{"key":"ref40","doi-asserted-by":"crossref","first-page":"226","DOI":"10.4103\/ijabmr.IJABMR_370_18","article-title":"Use of Machine Learning Algorithms for Prediction of Fetal Risk using Cardiotocographic Data","volume":"9","author":"Hoodbhoy","year":"2019","journal-title":"Int J Appl Basic Med Res"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1504\/ijbidm.2022.120825"},{"key":"ref42","first-page":"182","article-title":"Diverging Hybrid and Deep Learning Models into Predicting Students Performance in Smart Learning Environments - A Review","author":"Mbunge","year":"2022","journal-title":"Lect Notes Inst Comput Sci Soc Telecommun Eng LNICST"},{"key":"ref43","first-page":"79","article-title":"Incidence and predictors of under-five mortality in East Africa using multilevel Weibull regression modeling","author":"Tesema","year":"2021","journal-title":"Arch Public Heal"}],"event":{"name":"2023 Conference on Information Communications Technology and Society (ICTAS)","location":"Durban, South Africa","start":{"date-parts":[[2023,3,8]]},"end":{"date-parts":[[2023,3,9]]}},"container-title":["2023 Conference on Information Communications Technology and Society (ICTAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10081423\/10082720\/10082734.pdf?arnumber=10082734","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,13]],"date-time":"2024-02-13T16:45:25Z","timestamp":1707842725000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10082734\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3]]},"references-count":43,"URL":"https:\/\/doi.org\/10.1109\/ictas56421.2023.10082734","relation":{},"subject":[],"published":{"date-parts":[[2023,3]]}}}