{"id":"https://openalex.org/W4407391439","doi":"https://doi.org/10.1186/s12911-025-02921-z","title":"Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda","display_name":"Prediction of adverse pregnancy outcomes using machine learning techniques: evidence from analysis of electronic medical records data in Rwanda","publication_year":2025,"publication_date":"2025-02-12","ids":{"openalex":"https://openalex.org/W4407391439","doi":"https://doi.org/10.1186/s12911-025-02921-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/39939998"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-02921-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02921-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02921-z","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02921-z","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091446938","display_name":"Muzungu Hirwa Sylvain","orcid":"https://orcid.org/0009-0005-7782-124X"},"institutions":[{"id":"https://openalex.org/I3132931743","display_name":"University of Kigali","ror":"https://ror.org/03v842g47","country_code":"RW","type":"education","lineage":["https://openalex.org/I3132931743"]},{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["RW"],"is_corresponding":true,"raw_author_name":"Muzungu Hirwa Sylvain","raw_affiliation_strings":["University of Rwanda, Kigali, Rwanda. sylvain.hirwa@yahoo.com","University of Rwanda, Kigali, Rwanda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rwanda, Kigali, Rwanda. sylvain.hirwa@yahoo.com","institution_ids":["https://openalex.org/I3132931743"]},{"raw_affiliation_string":"University of Rwanda, Kigali, Rwanda","institution_ids":["https://openalex.org/I4210087849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116237372","display_name":"Emmanuel Christian Nyabyenda","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Emmanuel Christian Nyabyenda","raw_affiliation_strings":["University of Rwanda, Kigali, Rwanda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rwanda, Kigali, Rwanda","institution_ids":["https://openalex.org/I4210087849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045697027","display_name":"Melissa Uwase","orcid":"https://orcid.org/0009-0008-4065-4670"},"institutions":[{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Melissa Uwase","raw_affiliation_strings":["University of Rwanda, Kigali, Rwanda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rwanda, Kigali, Rwanda","institution_ids":["https://openalex.org/I4210087849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116237373","display_name":"Isaac Komezusenge","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Isaac Komezusenge","raw_affiliation_strings":["University of Rwanda, Kigali, Rwanda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rwanda, Kigali, Rwanda","institution_ids":["https://openalex.org/I4210087849"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5116237374","display_name":"Fauste Ndikumana","orcid":null},"institutions":[{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Fauste Ndikumana","raw_affiliation_strings":["University of Rwanda, Kigali, Rwanda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rwanda, Kigali, Rwanda","institution_ids":["https://openalex.org/I4210087849"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5014243404","display_name":"Innocent Ngaruye","orcid":"https://orcid.org/0000-0002-6750-3572"},"institutions":[{"id":"https://openalex.org/I4210087849","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46","country_code":"RW","type":"education","lineage":["https://openalex.org/I4210087849"]}],"countries":["RW"],"is_corresponding":false,"raw_author_name":"Innocent Ngaruye","raw_affiliation_strings":["University of Rwanda, Kigali, Rwanda"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Rwanda, Kigali, Rwanda","institution_ids":["https://openalex.org/I4210087849"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5091446938"],"corresponding_institution_ids":["https://openalex.org/I3132931743","https://openalex.org/I4210087849"],"apc_list":{"value":2690,"currency":"USD","value_usd":2690},"apc_paid":{"value":2690,"currency":"USD","value_usd":2690},"fwci":35.1775,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.99812905,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"25","issue":"1","first_page":"76","last_page":"76"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10209","display_name":"Global Maternal and Child Health","score":0.5669999718666077,"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"}},"topics":[{"id":"https://openalex.org/T10209","display_name":"Global Maternal and Child Health","score":0.5669999718666077,"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"}},{"id":"https://openalex.org/T11987","display_name":"COVID-19 Impact on Reproduction","score":0.05310000106692314,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.04089999943971634,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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/health-informatics","display_name":"Health informatics","score":0.7756946086883545},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.5435296297073364},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5085047483444214},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.48842018842697144},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.4695373773574829},{"id":"https://openalex.org/keywords/electronic-medical-record","display_name":"Electronic medical record","score":0.4626399576663971},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.41409412026405334},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.37750884890556335},{"id":"https://openalex.org/keywords/medical-emergency","display_name":"Medical emergency","score":0.2745148837566376},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.23071220517158508},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.14435690641403198},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.12216204404830933},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09961062669754028}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.7756946086883545},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.5435296297073364},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5085047483444214},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48842018842697144},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.4695373773574829},{"id":"https://openalex.org/C3018060332","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic medical record","level":2,"score":0.4626399576663971},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.41409412026405334},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37750884890556335},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.2745148837566376},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.23071220517158508},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.14435690641403198},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.12216204404830933},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09961062669754028},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"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":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"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":"D000328","descriptor_name":"Adult","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":"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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011247","descriptor_name":"Pregnancy","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011248","descriptor_name":"Pregnancy Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011248","descriptor_name":"Pregnancy Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011248","descriptor_name":"Pregnancy Complications","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011248","descriptor_name":"Pregnancy Complications","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011248","descriptor_name":"Pregnancy Complications","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011248","descriptor_name":"Pregnancy Complications","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011256","descriptor_name":"Pregnancy Outcome","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011256","descriptor_name":"Pregnancy Outcome","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011256","descriptor_name":"Pregnancy Outcome","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011256","descriptor_name":"Pregnancy Outcome","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011256","descriptor_name":"Pregnancy Outcome","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D011256","descriptor_name":"Pregnancy Outcome","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012189","descriptor_name":"Retrospective Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012432","descriptor_name":"Rwanda","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012432","descriptor_name":"Rwanda","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012432","descriptor_name":"Rwanda","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012432","descriptor_name":"Rwanda","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D012432","descriptor_name":"Rwanda","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D012432","descriptor_name":"Rwanda","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018570","descriptor_name":"Risk Assessment","qualifier_ui":"Q000379","qualifier_name":"methods","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},{"descriptor_ui":"D055815","descriptor_name":"Young Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000706","qualifier_name":"statistics & numerical data","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-02921-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02921-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02921-z","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:39939998","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39939998","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,"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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11823242","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11823242","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11823242/pdf/12911_2025_Article_2921.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,"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-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:100f2c4ad3b144058ea3b9c8dd2036ed","is_oa":true,"landing_page_url":"https://doaj.org/article/100f2c4ad3b144058ea3b9c8dd2036ed","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,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 25, Iss 1, Pp 1-13 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-02921-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-02921-z","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-02921-z","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320317483","display_name":"University of Rwanda","ror":"https://ror.org/00286hs46"},{"id":"https://openalex.org/F4320330879","display_name":"Rwanda Biomedical Centre","ror":"https://ror.org/03jggqf79"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4407391439.pdf","grobid_xml":"https://content.openalex.org/works/W4407391439.grobid-xml"},"referenced_works_count":49,"referenced_works":["https://openalex.org/W1539439291","https://openalex.org/W1540373147","https://openalex.org/W1970661454","https://openalex.org/W2010626060","https://openalex.org/W2029490365","https://openalex.org/W2030468021","https://openalex.org/W2120058250","https://openalex.org/W2167032523","https://openalex.org/W2291863328","https://openalex.org/W2395172628","https://openalex.org/W2565884969","https://openalex.org/W2742081990","https://openalex.org/W2770147157","https://openalex.org/W2789401687","https://openalex.org/W2802799377","https://openalex.org/W2899939101","https://openalex.org/W2920664149","https://openalex.org/W2963613787","https://openalex.org/W3011566985","https://openalex.org/W3015509439","https://openalex.org/W3041612064","https://openalex.org/W3094352331","https://openalex.org/W3094597865","https://openalex.org/W3104873923","https://openalex.org/W3125729465","https://openalex.org/W3167873632","https://openalex.org/W3199453402","https://openalex.org/W3208053886","https://openalex.org/W4205570931","https://openalex.org/W4205641807","https://openalex.org/W4206811881","https://openalex.org/W4207070571","https://openalex.org/W4221110970","https://openalex.org/W4225987334","https://openalex.org/W4280505593","https://openalex.org/W4281651943","https://openalex.org/W4292636204","https://openalex.org/W4296613528","https://openalex.org/W4313559960","https://openalex.org/W4319922500","https://openalex.org/W4322217293","https://openalex.org/W4380366866","https://openalex.org/W4388467758","https://openalex.org/W4393177765","https://openalex.org/W4401869059","https://openalex.org/W4402990915","https://openalex.org/W4405055801","https://openalex.org/W4405304399","https://openalex.org/W4407854021"],"related_works":["https://openalex.org/W2091636677","https://openalex.org/W2381274092","https://openalex.org/W2554558516","https://openalex.org/W2385306558","https://openalex.org/W2371025015","https://openalex.org/W4205272636","https://openalex.org/W2094707859","https://openalex.org/W2355354922","https://openalex.org/W2527724968","https://openalex.org/W2356296688"],"abstract_inverted_index":{"BACKGROUND:":[0],"Despite":[1],"substantial":[2],"progress":[3],"in":[4,72,104,193,253,265,277],"maternal":[5,289],"and":[6,51,88,108,128,135,165,172,182,223,230,244,293,310,318],"neonatal":[7],"health,":[8,87],"Rwanda's":[9],"mortality":[10],"rates":[11],"remain":[12],"high,":[13],"necessitating":[14],"innovative":[15],"approaches":[16],"to":[17,42,76,198,314],"meet":[18],"health":[19,84],"related":[20],"Sustainable":[21],"Development":[22],"Goals":[23],"(SDGs).":[24],"By":[25],"leveraging":[26],"data":[27,61,112,302],"collected":[28],"from":[29,62,74,187],"Electronic":[30],"Medical":[31],"Records,":[32],"this":[33,278,325],"study":[34,57,279,298,326],"explores":[35],"the":[36,63,106,109,124,235,268,328],"application":[37],"of":[38,69,126,202,242,248,261,273,284,330],"machine":[39,152,305],"learning":[40,153,306],"models":[41,317],"predict":[43],"adverse":[44,101,218,255,269,274],"pregnancy":[45,102,219,321],"outcomes,":[46],"thereby":[47],"improving":[48],"risk":[49],"assessment":[50],"enhancing":[52,300],"care":[53,287],"delivery.":[54],"METHODS:":[55],"This":[56,297],"utilized":[58],"retrospective":[59],"cohort":[60],"electronic":[64],"medical":[65],"record":[66],"(EMR)":[67],"system":[68],"25":[70,191],"hospitals":[71,192],"Rwanda":[73,194],"2020":[75],"2023.":[77],"The":[78,91],"independent":[79],"variables":[80,127],"included":[81,280],"socioeconomic":[82],"status,":[83,85],"reproductive":[86],"pregnancy-related":[89],"factors.":[90],"outcome":[92],"variable":[93],"was":[94,114,143],"a":[95,146,199,258],"binary":[96],"composite":[97],"feature":[98],"that":[99],"combined":[100],"outcomes":[103,275],"both":[105],"mother":[107],"newborn.":[110],"Extensive":[111],"cleaning":[113],"performed,":[115],"with":[116,208],"missing":[117,210],"values":[118],"addressed":[119],"through":[120],"various":[121],"strategies,":[122],"including":[123],"exclusion":[125],"instances,":[129],"imputation":[130],"techniques":[131],"using":[132,145,169],"K-Nearest":[133],"Neighbors":[134],"Multiple":[136],"Imputation":[137],"by":[138],"Chained":[139],"Equations.":[140],"Data":[141,186],"imbalance":[142],"managed":[144],"synthetic":[147],"minority":[148],"oversampling":[149],"technique.":[150],"Six":[151],"models-Logistic":[154],"Regression,":[155],"Decision":[156],"Trees,":[157],"Support":[158],"Vector":[159],"Machine,":[160],"Gradient":[161,224],"Boosting,":[162],"Random":[163,221,236],"Forest,":[164],"Multilayer":[166],"Perceptron-were":[167],"trained":[168],"10-fold":[170],"cross-validation":[171],"evaluated":[173],"on":[174],"an":[175,240,245],"unseen":[176],"dataset":[177,201],"with-70":[178],"-":[179],"30":[180],"training":[181],"evaluation":[183],"splits.":[184],"RESULTS:":[185],"117,069":[188],"women":[189,204],"across":[190],"were":[195],"analyzed,":[196],"leading":[197],"final":[200],"32,783":[203],"after":[205],"removing":[206],"entries":[207],"significant":[209],"values.":[211],"Among":[212],"these":[213],"women,":[214],"5,424":[215],"(16.5%)":[216],"experienced":[217],"outcomes.":[220,256,322],"Forest":[222,237],"Boosting":[225],"Classifiers":[226],"demonstrated":[227],"high":[228],"accuracy":[229,241],"precision.":[231],"After":[232],"hyperparameter":[233],"tuning,":[234],"model":[238],"achieved":[239],"90.6%":[243],"ROC-AUC":[246],"score":[247],"0.85,":[249],"underscoring":[250],"its":[251],"effectiveness":[252],"predicting":[254],"However,":[257],"recall":[259],"rate":[260],"46.5%":[262],"suggests":[263],"challenges":[264],"detecting":[266],"all":[267],"cases.":[270],"Key":[271],"predictors":[272],"identified":[276],"gestational":[281],"age,":[282,290],"number":[283],"pregnancies,":[285],"antenatal":[286],"visits,":[288],"vital":[291],"signs,":[292],"delivery":[294],"methods.":[295],"CONCLUSIONS:":[296],"recommends":[299,327],"EMR":[301],"quality,":[303],"integrating":[304],"into":[307],"routine":[308],"practice,":[309],"conducting":[311],"further":[312],"research":[313],"refine":[315],"predictive":[316],"address":[319],"evolving":[320],"In":[323],"addition,":[324],"design":[329],"AI-based":[331],"interventions":[332],"for":[333],"high-risk":[334],"pregnancies.":[335],"CLINICAL":[336],"TRIAL":[337],"NUMBER:":[338],"Not":[339],"applicable.":[340]},"counts_by_year":[{"year":2026,"cited_by_count":8},{"year":2025,"cited_by_count":9}],"updated_date":"2026-08-01T09:00:35.917206","created_date":"2025-10-10T00:00:00"}