{"id":"https://openalex.org/W4362496745","doi":"https://doi.org/10.1109/ictas56421.2023.10082734","title":"Application of machine learning techniques for predicting child mortality and identifying associated risk factors","display_name":"Application of machine learning techniques for predicting child mortality and identifying associated risk factors","publication_year":2023,"publication_date":"2023-03-01","ids":{"openalex":"https://openalex.org/W4362496745","doi":"https://doi.org/10.1109/ictas56421.2023.10082734"},"language":"en","primary_location":{"id":"doi:10.1109/ictas56421.2023.10082734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictas56421.2023.10082734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Conference on Information Communications Technology and Society (ICTAS)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5078990921","display_name":"Elliot Mbunge","orcid":"https://orcid.org/0000-0003-4504-6697"},"institutions":[{"id":"https://openalex.org/I16969244","display_name":"University of Eswatini","ror":"https://ror.org/05nv2rz39","country_code":"SZ","type":"education","lineage":["https://openalex.org/I16969244"]}],"countries":["SZ"],"is_corresponding":false,"raw_author_name":"Elliot Mbunge","raw_affiliation_strings":["University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","institution_ids":["https://openalex.org/I16969244"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland","institution_ids":["https://openalex.org/I16969244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090546627","display_name":"Stephen Gbenga Fashoto","orcid":"https://orcid.org/0000-0002-2919-9434"},"institutions":[{"id":"https://openalex.org/I16969244","display_name":"University of Eswatini","ror":"https://ror.org/05nv2rz39","country_code":"SZ","type":"education","lineage":["https://openalex.org/I16969244"]}],"countries":["SZ"],"is_corresponding":false,"raw_author_name":"Stephen G Fashoto","raw_affiliation_strings":["University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","institution_ids":["https://openalex.org/I16969244"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland","institution_ids":["https://openalex.org/I16969244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012599282","display_name":"Benhildah Muchemwa","orcid":null},"institutions":[{"id":"https://openalex.org/I16969244","display_name":"University of Eswatini","ror":"https://ror.org/05nv2rz39","country_code":"SZ","type":"education","lineage":["https://openalex.org/I16969244"]}],"countries":["SZ"],"is_corresponding":false,"raw_author_name":"Benhildah Muchemwa","raw_affiliation_strings":["University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","institution_ids":["https://openalex.org/I16969244"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland","institution_ids":["https://openalex.org/I16969244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035774652","display_name":"Richard Millham","orcid":"https://orcid.org/0000-0002-7970-9615"},"institutions":[{"id":"https://openalex.org/I177181097","display_name":"Durban University of Technology","ror":"https://ror.org/0303y7a51","country_code":"ZA","type":"education","lineage":["https://openalex.org/I177181097"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Richard C Millham","raw_affiliation_strings":["University of Technology,Faculty of Accounting and Informatics Durban,Department of Information,Umlazi,South Africa,4031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Faculty of Accounting and Informatics Durban,Department of Information,Umlazi,South Africa,4031","institution_ids":["https://openalex.org/I177181097"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065548069","display_name":"Garikayi Chemhaka","orcid":"https://orcid.org/0000-0001-8863-9826"},"institutions":[{"id":"https://openalex.org/I16969244","display_name":"University of Eswatini","ror":"https://ror.org/05nv2rz39","country_code":"SZ","type":"education","lineage":["https://openalex.org/I16969244"]}],"countries":["SZ"],"is_corresponding":false,"raw_author_name":"Garikayi Chemhaka","raw_affiliation_strings":["University of Eswatini,Faculty of Social Sciences,Department of Statistics and Demography,Eswatini","Department of Statistics and Demography, Faculty of Social Sciences, University of Eswatini, Eswatini"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eswatini,Faculty of Social Sciences,Department of Statistics and Demography,Eswatini","institution_ids":["https://openalex.org/I16969244"]},{"raw_affiliation_string":"Department of Statistics and Demography, Faculty of Social Sciences, University of Eswatini, Eswatini","institution_ids":["https://openalex.org/I16969244"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086413792","display_name":"Maureen Nokuthula Sibiya","orcid":"https://orcid.org/0000-0003-1220-1478"},"institutions":[{"id":"https://openalex.org/I160825796","display_name":"Mangosuthu University of Technology","ror":"https://ror.org/054r97095","country_code":"ZA","type":"education","lineage":["https://openalex.org/I160825796"]}],"countries":["ZA"],"is_corresponding":false,"raw_author_name":"Maureen Nokuthula Sibiya","raw_affiliation_strings":["University of Technology,Research, Innovation and Engagement, Mangosuthu,Umlazi,South Africa,4031"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Technology,Research, Innovation and Engagement, Mangosuthu,Umlazi,South Africa,4031","institution_ids":["https://openalex.org/I160825796"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007118814","display_name":"Tafadzwa Dzinamarira","orcid":"https://orcid.org/0000-0002-9929-5739"},"institutions":[{"id":"https://openalex.org/I173434221","display_name":"Harare Institute of Technology","ror":"https://ror.org/02e7r0h80","country_code":"ZW","type":"education","lineage":["https://openalex.org/I173434221"]}],"countries":["ZW"],"is_corresponding":false,"raw_author_name":"Tafadzwa Dzinamarira","raw_affiliation_strings":["ICAP,Harare,Zimbabwe","ICAP, Harare, Zimbabwe"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ICAP,Harare,Zimbabwe","institution_ids":["https://openalex.org/I173434221"]},{"raw_affiliation_string":"ICAP, Harare, Zimbabwe","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074208659","display_name":"Jolly Buwerimwe","orcid":null},"institutions":[{"id":"https://openalex.org/I16969244","display_name":"University of Eswatini","ror":"https://ror.org/05nv2rz39","country_code":"SZ","type":"education","lineage":["https://openalex.org/I16969244"]}],"countries":["SZ"],"is_corresponding":false,"raw_author_name":"Jolly Buwerimwe","raw_affiliation_strings":["University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Eswatini,Faculty of Science and Engineering,Department of Computer Science,formerly,Swaziland","institution_ids":["https://openalex.org/I16969244"]},{"raw_affiliation_string":"Department of Computer Science, Faculty of Science and Engineering, University of Eswatini, formerly, Swaziland","institution_ids":["https://openalex.org/I16969244"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":21.14,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.99715909,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10596","display_name":"Child Nutrition and Water Access","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10596","display_name":"Child Nutrition and Water Access","score":0.9753999710083008,"subfield":{"id":"https://openalex.org/subfields/2916","display_name":"Nutrition and Dietetics"},"field":{"id":"https://openalex.org/fields/29","display_name":"Nursing"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10209","display_name":"Global Maternal and Child Health","score":0.9713000059127808,"subfield":{"id":"https://openalex.org/subfields/2735","display_name":"Pediatrics, Perinatology and Child Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7090722322463989},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.6978281140327454},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6108260154724121},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5625858306884766},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5479949116706848},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4040127396583557},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3538125157356262},{"id":"https://openalex.org/keywords/demography","display_name":"Demography","score":0.3295745849609375}],"concepts":[{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7090722322463989},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6978281140327454},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6108260154724121},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5625858306884766},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5479949116706848},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4040127396583557},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3538125157356262},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.3295745849609375},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ictas56421.2023.10082734","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ictas56421.2023.10082734","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 Conference on Information Communications Technology and Society (ICTAS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.7200000286102295}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1168380530","https://openalex.org/W1863838628","https://openalex.org/W2039515263","https://openalex.org/W2139167195","https://openalex.org/W2141187240","https://openalex.org/W2295598076","https://openalex.org/W2337031030","https://openalex.org/W2461076967","https://openalex.org/W2564337221","https://openalex.org/W2895269073","https://openalex.org/W2895726801","https://openalex.org/W2898320620","https://openalex.org/W2941702487","https://openalex.org/W2947934572","https://openalex.org/W2963517679","https://openalex.org/W2979740388","https://openalex.org/W2995623967","https://openalex.org/W3017142950","https://openalex.org/W3028564779","https://openalex.org/W3030214482","https://openalex.org/W3040250461","https://openalex.org/W3092914169","https://openalex.org/W3095010054","https://openalex.org/W3176471155","https://openalex.org/W3180745360","https://openalex.org/W3195050589","https://openalex.org/W3199032203","https://openalex.org/W3209507818","https://openalex.org/W3213493837","https://openalex.org/W4211146911","https://openalex.org/W4225795232","https://openalex.org/W4226070670","https://openalex.org/W4246484440","https://openalex.org/W4285179318","https://openalex.org/W4285225494","https://openalex.org/W4292862959","https://openalex.org/W4296141787","https://openalex.org/W4296946249","https://openalex.org/W4303627716","https://openalex.org/W6638971267","https://openalex.org/W6680736358","https://openalex.org/W6703448452","https://openalex.org/W6731021933","https://openalex.org/W6755761722","https://openalex.org/W6778390856","https://openalex.org/W6784810755","https://openalex.org/W6797259015","https://openalex.org/W6803625569","https://openalex.org/W6810758692","https://openalex.org/W6838701058"],"related_works":["https://openalex.org/W4321636153","https://openalex.org/W4239706975","https://openalex.org/W4212963941","https://openalex.org/W4283313480","https://openalex.org/W4366151905","https://openalex.org/W3167700044","https://openalex.org/W4376054933","https://openalex.org/W4308191010","https://openalex.org/W4318350883","https://openalex.org/W4385695370"],"abstract_inverted_index":{"Despite":[0],"continuous":[1],"persistent":[2],"efforts":[3],"to":[4,14,32,56,80,104,205,213,227],"enhance":[5],"child":[6,16,82,106,229,244,248],"health":[7,22,116,195,208,245],"through,":[8],"among":[9,65],"other":[10,187],"things,":[11],"universal":[12],"access":[13,55,212],"care,":[15],"mortality":[17,29,83,107],"remains":[18],"a":[19,25,136,146,155],"significant":[20],"public":[21],"concern":[23],"on":[24],"global":[26],"scale.":[27],"Child":[28],"is":[30,84],"attributed":[31],"several":[33],"factors":[34,234],"including":[35,72],"birth":[36,43],"asphyxia/trauma,":[37],"demographic":[38,114],"and":[39,44,49,61,63,102,115,134,165,180,202,216,225],"socioeconomic":[40],"factors,":[41],"preterm":[42],"intrapartum-related":[45],"complications,":[46],"pneumonia,":[47],"preventable":[48],"treatable":[50],"diseases,":[51],"congenital":[52],"anomalies,":[53],"poor":[54,59],"quality":[57,214],"healthcare,":[58],"hygiene":[60],"nutrition,":[62],"sanitation":[64],"others.":[66],"In":[67],"many":[68],"sub-Saharan":[69],"African":[70],"nations,":[71],"Zimbabwe,":[73],"the":[74,207,232],"use":[75],"of":[76,126,139,148,157,172,210],"machine":[77,93],"learning":[78,94],"techniques":[79],"predict":[81],"still":[85],"in":[86,237],"its":[87],"infancy.":[88],"Therefore,":[89],"this":[90],"study":[91],"applied":[92],"algorithms":[95],"decision":[96],"trees,":[97],"random":[98,128,159,174],"forest,":[99],"logistic":[100,120,152],"regression":[101,121,153],"XGBoost":[103,135,166,185],"develop":[105],"predictive":[108,143,189],"models":[109,144,193],"that":[110],"utilize":[111],"nationally":[112],"representative":[113],"survey":[117],"data.":[118],"The":[119,184],"classifier":[122],"achieved":[123,145,154,170],"an":[124],"accuracy":[125,138],"74%,":[127,161,164],"forest":[129,160,175],"72%,":[130,133],"Decision":[131,162,177],"tree":[132,163,178],"high":[137],"81%.":[140],"All":[141],"under-five":[142,188],"precision":[147],"95":[149],"%.":[150],"However,":[151],"recall":[156],"76%,":[158],"84%.":[167],"Logistic":[168],"Regression":[169],"F1-score":[171],"84%,":[173],"83%,":[176],"83%":[179],"89%":[181],"for":[182],"XGBoost.":[183],"outperformed":[186],"models.":[190],"Integrating":[191],"such":[192],"into":[194],"information":[196],"systems":[197],"can":[198,235],"significantly":[199],"assist":[200,236],"policymakers":[201],"healthcare":[203],"professionals":[204],"improve":[206,219,228,243],"status":[209],"children,":[211],"care":[215],"most":[217],"importantly,":[218],"preventive":[220],"measures,":[221],"immunization":[222],"programmes,":[223],"policies,":[224],"decision-making":[226],"health.":[230],"Understanding":[231],"risk":[233],"designing":[238],"intervention":[239],"programmes":[240],"aimed":[241],"at":[242],"while":[246],"reducing":[247],"mortality.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}