{"id":"https://openalex.org/W4404381908","doi":"https://doi.org/10.1136/bmjopen-2024-089764","title":"Machine learning algorithms for prediction of measles one vaccination dropout among 12\u201323 months children in Ethiopia","display_name":"Machine learning algorithms for prediction of measles one vaccination dropout among 12\u201323 months children in Ethiopia","publication_year":2024,"publication_date":"2024-11-01","ids":{"openalex":"https://openalex.org/W4404381908","doi":"https://doi.org/10.1136/bmjopen-2024-089764","pmid":"https://pubmed.ncbi.nlm.nih.gov/39542486"},"language":"en","primary_location":{"id":"doi:10.1136/bmjopen-2024-089764","doi":"https://doi.org/10.1136/bmjopen-2024-089764","is_oa":true,"landing_page_url":"https://doi.org/10.1136/bmjopen-2024-089764","pdf_url":"https://bmjopen.bmj.com/content/bmjopen/14/11/e089764.full.pdf","source":{"id":"https://openalex.org/S79054089","display_name":"BMJ Open","issn_l":"2044-6055","issn":["2044-6055"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319945","host_organization_name":"BMJ","host_organization_lineage":["https://openalex.org/P4310319945"],"host_organization_lineage_names":["BMJ"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ Open","raw_type":"journal-article"},"volume":null,"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmjopen.bmj.com/content/bmjopen/14/11/e089764.full.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5026481379","display_name":"Meron Asmamaw Alemayehu","orcid":"https://orcid.org/0000-0002-1852-0771","observed_orcids":["https://orcid.org/0000-0002-1852-0771"]},"institutions":[{"id":"https://openalex.org/I8764889","display_name":"University of Gondar","ror":"https://ror.org/0595gz585","country_code":"ET","type":"education","lineage":["https://openalex.org/I8764889"]}],"countries":["ET"],"is_corresponding":true,"raw_author_name":"Meron Asmamaw Alemayehu","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Amhara, Ethiopia merryalem101@gmail.com"],"raw_orcid":"https://orcid.org/0000-0002-1852-0771","affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, Institute of Public Health, College of Medicine and Health Sciences, University of Gondar, Gondar, Amhara, Ethiopia merryalem101@gmail.com","institution_ids":["https://openalex.org/I8764889"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5026481379"],"corresponding_institution_ids":["https://openalex.org/I8764889"],"apc_list":{"value":1500,"currency":"GBP","value_usd":1839},"apc_paid":{"value":1500,"currency":"GBP","value_usd":1839},"fwci":4.7649,"has_fulltext":true,"cited_by_count":11,"citation_normalized_percentile":{"value":0.95752127,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"14","issue":"11","first_page":"e089764","last_page":"e089764"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T10833","display_name":"Vaccine Coverage and Hesitancy","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/3306","display_name":"Health"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.005900000222027302,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11135","display_name":"Virology and Viral Diseases","score":0.001500000013038516,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/measles-vaccination-coverage","display_name":"measles vaccination coverage","score":0.6209999918937683},{"id":"https://openalex.org/keywords/childhood-immunization","display_name":"childhood immunization","score":0.5580000281333923},{"id":"https://openalex.org/keywords/measles-outbreak","display_name":"measles outbreak","score":0.4580000042915344},{"id":"https://openalex.org/keywords/xgboost","display_name":"XGBoost","score":0.7210000157356262},{"id":"https://openalex.org/keywords/shapley-value","display_name":"Shapley value","score":0.9229999780654907},{"id":"https://openalex.org/keywords/maternal-education","display_name":"maternal education","score":0.7319999933242798},{"id":"https://openalex.org/keywords/maternal-unemployment","display_name":"maternal unemployment","score":0.6539999842643738},{"id":"https://openalex.org/keywords/religious-affiliation","display_name":"religious affiliation","score":0.7289999723434448},{"id":"https://openalex.org/keywords/ethiopia","display_name":"Ethiopia","score":0.5389999747276306}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.7571582198143005},{"id":"https://openalex.org/C2776438120","wikidata":"https://www.wikidata.org/wiki/Q79793","display_name":"Measles","level":3,"score":0.7096500992774963},{"id":"https://openalex.org/C22070199","wikidata":"https://www.wikidata.org/wiki/Q192995","display_name":"Vaccination","level":2,"score":0.6669790744781494},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6507713794708252},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6053194999694824},{"id":"https://openalex.org/C2780657872","wikidata":"https://www.wikidata.org/wiki/Q6804161","display_name":"Measles vaccine","level":4,"score":0.5131598114967346},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.5119420289993286},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4925259053707123},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4835081398487091},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.41755327582359314},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.3788793683052063},{"id":"https://openalex.org/C187212893","wikidata":"https://www.wikidata.org/wiki/Q123028","display_name":"Pediatrics","level":1,"score":0.3209734559059143},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.20214512944221497},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.18410375714302063},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11969822645187378},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000293","descriptor_name":"Adolescent","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005002","descriptor_name":"Ethiopia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005002","descriptor_name":"Ethiopia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005002","descriptor_name":"Ethiopia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005002","descriptor_name":"Ethiopia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005002","descriptor_name":"Ethiopia","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007223","descriptor_name":"Infant","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D008457","descriptor_name":"Measles","qualifier_ui":"Q000517","qualifier_name":"prevention & control","is_major_topic":true},{"descriptor_ui":"D008458","descriptor_name":"Measles Vaccine","qualifier_ui":"Q000008","qualifier_name":"administration & dosage","is_major_topic":true},{"descriptor_ui":"D008458","descriptor_name":"Measles Vaccine","qualifier_ui":"Q000008","qualifier_name":"administration & dosage","is_major_topic":true},{"descriptor_ui":"D008458","descriptor_name":"Measles Vaccine","qualifier_ui":"Q000008","qualifier_name":"administration & dosage","is_major_topic":true},{"descriptor_ui":"D008458","descriptor_name":"Measles Vaccine","qualifier_ui":"Q000008","qualifier_name":"administration & dosage","is_major_topic":true},{"descriptor_ui":"D008458","descriptor_name":"Measles Vaccine","qualifier_ui":"Q000008","qualifier_name":"administration & dosage","is_major_topic":true},{"descriptor_ui":"D010352","descriptor_name":"Patient Dropouts","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010352","descriptor_name":"Patient Dropouts","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010352","descriptor_name":"Patient Dropouts","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010352","descriptor_name":"Patient Dropouts","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D010352","descriptor_name":"Patient Dropouts","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014611","descriptor_name":"Vaccination","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014611","descriptor_name":"Vaccination","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014611","descriptor_name":"Vaccination","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014611","descriptor_name":"Vaccination","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D014611","descriptor_name":"Vaccination","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016015","descriptor_name":"Logistic Models","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":4,"locations":[{"id":"doi:10.1136/bmjopen-2024-089764","doi":"https://doi.org/10.1136/bmjopen-2024-089764","is_oa":true,"landing_page_url":"https://doi.org/10.1136/bmjopen-2024-089764","pdf_url":"https://bmjopen.bmj.com/content/bmjopen/14/11/e089764.full.pdf","source":{"id":"https://openalex.org/S79054089","display_name":"BMJ Open","issn_l":"2044-6055","issn":["2044-6055"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319945","host_organization_name":"BMJ","host_organization_lineage":["https://openalex.org/P4310319945"],"host_organization_lineage_names":["BMJ"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ Open","raw_type":"journal-article"},{"id":"pmid:39542486","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39542486","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ open","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:11575239","doi":null,"is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11575239","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11575239/pdf/bmjopen-14-11.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMJ Open","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:17701cf311f348f0ad8491b74a7cbd27","doi":null,"is_oa":false,"landing_page_url":"https://doaj.org/article/17701cf311f348f0ad8491b74a7cbd27","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMJ Open, Vol 14, Iss 11 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1136/bmjopen-2024-089764","doi":"https://doi.org/10.1136/bmjopen-2024-089764","is_oa":true,"landing_page_url":"https://doi.org/10.1136/bmjopen-2024-089764","pdf_url":"https://bmjopen.bmj.com/content/bmjopen/14/11/e089764.full.pdf","source":{"id":"https://openalex.org/S79054089","display_name":"BMJ Open","issn_l":"2044-6055","issn":["2044-6055"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["anvur-scientific","cwts-core","doaj","dongbi-d","doyens","jufo-1","ki-jl-1","medline","norway-1","poland-100","russia-white-list-1","vabb-shw"],"host_organization":"https://openalex.org/P4310319945","host_organization_name":"BMJ","host_organization_lineage":["https://openalex.org/P4310319945"],"host_organization_lineage_names":["BMJ"],"type":"journal"},"license":"cc-by-nc","license_id":"https://openalex.org/licenses/cc-by-nc","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMJ Open","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.98580002784729,"id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[{"display_name":"Partnerships for the goals","score":0.6000000238418579,"id":"https://metadata.un.org/sdg/17"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4404381908.pdf","grobid_xml":"https://content.openalex.org/works/W4404381908.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W83376539","https://openalex.org/W566149836","https://openalex.org/W1632204617","https://openalex.org/W1802396757","https://openalex.org/W2026224202","https://openalex.org/W2031498027","https://openalex.org/W2058040122","https://openalex.org/W2075715210","https://openalex.org/W2084789715","https://openalex.org/W2086289962","https://openalex.org/W2099866039","https://openalex.org/W2108722893","https://openalex.org/W2315990258","https://openalex.org/W2494772536","https://openalex.org/W2528957557","https://openalex.org/W2597190191","https://openalex.org/W2606436201","https://openalex.org/W2609072516","https://openalex.org/W2779830812","https://openalex.org/W2951272704","https://openalex.org/W2971443099","https://openalex.org/W2974922583","https://openalex.org/W2981922997","https://openalex.org/W2997113213","https://openalex.org/W3011068771","https://openalex.org/W3017271309","https://openalex.org/W3017368585","https://openalex.org/W3093225826","https://openalex.org/W3118463812","https://openalex.org/W3138323389","https://openalex.org/W3164103882","https://openalex.org/W3167624445","https://openalex.org/W4221066955","https://openalex.org/W4221092448","https://openalex.org/W4223894906","https://openalex.org/W4307372108","https://openalex.org/W4311819801","https://openalex.org/W4319333506","https://openalex.org/W4321788957","https://openalex.org/W4378803232","https://openalex.org/W4379535476","https://openalex.org/W4383896165","https://openalex.org/W4386496264","https://openalex.org/W4388221714","https://openalex.org/W4388646404","https://openalex.org/W4392877645","https://openalex.org/W4396643516","https://openalex.org/W6862374763","https://openalex.org/W6979158866"],"related_works":["https://openalex.org/W2416883071","https://openalex.org/W324855215","https://openalex.org/W2042066151","https://openalex.org/W1994917397","https://openalex.org/W2768094469","https://openalex.org/W2082556352","https://openalex.org/W2362614420","https://openalex.org/W1622119506","https://openalex.org/W2553205120","https://openalex.org/W1981131375"],"abstract_inverted_index":{"INTRODUCTION:":[0],"Despite":[1],"the":[2,13,65,79,142,159,194,202,217,221,239,249,252,285],"availability":[3],"of":[4,49,180,216,255],"a":[5,23,43,234],"safe":[6],"and":[7,18,51,83,115,120,139,177,182,210,223,229,271,276,298],"effective":[8],"measles":[9,20,41,70,88,173,240,245,294],"vaccine":[10],"in":[11,27,171,220,248,284],"Ethiopia,":[12],"country":[14,250],"has":[15,36],"experienced":[16],"recurrent":[17],"significant":[19],"outbreaks,":[21],"with":[22,208,212,273],"nearly":[24],"fivefold":[25],"increase":[26],"confirmed":[28],"cases":[29,50],"from":[30,78],"2021":[31],"to":[32,57,63,69,86,153],"2023.":[33],"The":[34,129,165,185,198,244],"WHO":[35],"identified":[37,286],"being":[38],"unvaccinated":[39],"against":[40],"as":[42],"major":[44],"factor":[45],"driving":[46],"this":[47,54,148,259],"resurgence":[48],"deaths.":[52],"Consequently,":[53],"study":[55,75],"aimed":[56],"apply":[58],"robust":[59],"machine":[60,93,161],"learning":[61,94,162],"algorithms":[62,95],"predict":[64],"key":[66],"factors":[67],"contributing":[68],"vaccination":[71,89,174,241,295],"dropout.":[72,90,242],"METHODS:":[73],"This":[74],"utilised":[76,150],"data":[77],"2016":[80],"Ethiopian":[81],"Demographic":[82],"Health":[84],"Survey":[85],"evaluate":[87],"Eight":[91],"supervised":[92],"were":[96,123,132],"implemented:":[97],"eXtreme":[98],"Gradient":[99,104],"Boosting":[100],"(XGBoost),":[101],"Random":[102],"Forest,":[103],"Boosting,":[105],"Support":[106],"Vector":[107],"Machine,":[108],"Decision":[109],"Tree,":[110],"Na\u00efve":[111],"Bayes,":[112],"K-Nearest":[113],"Neighbours":[114],"Logistic":[116],"Regression.":[117],"Data":[118],"preprocessing":[119],"model":[121,199],"development":[122],"performed":[124],"using":[125,134],"R":[126],"language":[127],"V.4.2.1.":[128],"predictive":[130],"models":[131],"evaluated":[133],"accuracy,":[135],"precision,":[136],"recall,":[137],"F1-score":[138],"area":[140],"under":[141],"curve":[143],"(AUC).":[144],"Unlike":[145],"previous":[146],"studies,":[147],"research":[149],"Shapley":[151,186],"values":[152,179],"interpret":[154],"individual":[155],"predictions":[156],"made":[157],"by":[158],"top-performing":[160],"model.":[163],"RESULTS:":[164],"XGBoost":[166],"algorithm":[167],"surpassed":[168],"all":[169],"classifiers":[170],"predicting":[172],"dropout":[175,246,296],"(Accuracy":[176],"AUC":[178],"73.9%":[181],"0.813,":[183],"respectively).":[184],"Beeswarm":[187],"plot":[188],"displayed":[189],"how":[190],"each":[191],"feature":[192],"influenced":[193],"best":[195],"model's":[196],"predictions.":[197],"predicted":[200],"that":[201],"younger":[203],"mother's":[204],"age,":[205],"religion-Jehovah/Adventist,":[206],"husband":[207],"no":[209],"mother":[211],"primary":[213],"education,":[214],"unemployment":[215],"mother,":[218],"residence":[219],"Oromia":[222],"Somali":[224],"regions,":[225],"large":[226],"family":[227],"size":[228],"older":[230],"paternal":[231],"age":[232],"have":[233],"strong":[235],"positive":[236],"impact":[237],"on":[238],"CONCLUSION:":[243],"rate":[247],"exceeded":[251],"recommended":[253],"threshold":[254],"<10%.":[256],"To":[257],"tackle":[258],"issue,":[260],"targeted":[261],"interventions":[262],"are":[263],"crucial.":[264],"Public":[265],"awareness":[266],"campaigns,":[267],"regular":[268],"health":[269,277],"education":[270],"partnerships":[272],"religious":[274],"institutions":[275],"extension":[278],"workers":[279],"should":[280],"be":[281],"implemented,":[282],"particularly":[283],"underprivileged":[287],"regions.":[288],"These":[289],"measures":[290],"can":[291],"help":[292],"reduce":[293],"rates":[297],"enhance":[299],"overall":[300],"coverage.":[301]},"counts_by_year":[{"year":2026,"cited_by_count":9},{"year":2025,"cited_by_count":2}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2025-10-10T00:00:00"}
