{"id":"https://openalex.org/W4401924732","doi":"https://doi.org/10.1186/s42492-024-00172-9","title":"Machine learning approach for the prediction of macrosomia","display_name":"Machine learning approach for the prediction of macrosomia","publication_year":2024,"publication_date":"2024-08-27","ids":{"openalex":"https://openalex.org/W4401924732","doi":"https://doi.org/10.1186/s42492-024-00172-9","pmid":"https://pubmed.ncbi.nlm.nih.gov/39190235"},"language":"en","primary_location":{"id":"doi:10.1186/s42492-024-00172-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-024-00172-9","pdf_url":"https://vciba.springeropen.com/counter/pdf/10.1186/s42492-024-00172-9","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://vciba.springeropen.com/counter/pdf/10.1186/s42492-024-00172-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102119264","display_name":"Xiaochen Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I27781120","display_name":"Wenzhou Medical University","ror":"https://ror.org/00rd5t069","country_code":"CN","type":"education","lineage":["https://openalex.org/I27781120"]},{"id":"https://openalex.org/I4210086973","display_name":"Affiliated Eye Hospital of Wenzhou Medical College","ror":"https://ror.org/000sxmx78","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210086973"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochen Gu","raw_affiliation_strings":["Eye Hospital, Wenzhou Medical University, Wenzhou, Zheijang, 325027, China","Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China","School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Eye Hospital, Wenzhou Medical University, Wenzhou, Zheijang, 325027, China","institution_ids":["https://openalex.org/I4210086973","https://openalex.org/I27781120"]},{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China","institution_ids":[]},{"raw_affiliation_string":"School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101776167","display_name":"Ping Huang","orcid":"https://orcid.org/0000-0003-1076-3469"},"institutions":[{"id":"https://openalex.org/I4210141719","display_name":"University of Hong Kong - Shenzhen Hospital","ror":"https://ror.org/047w7d678","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141719"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Ping Huang","raw_affiliation_strings":["Division of Ultrasound, Department of Medical Imaging, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Ultrasound, Department of Medical Imaging, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China","institution_ids":["https://openalex.org/I4210141719","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100556832","display_name":"Xiaohua Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210141719","display_name":"University of Hong Kong - Shenzhen Hospital","ror":"https://ror.org/047w7d678","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141719"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":false,"raw_author_name":"Xiaohua Xu","raw_affiliation_strings":["Division of Ultrasound, Department of Medical Imaging, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Division of Ultrasound, Department of Medical Imaging, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China","institution_ids":["https://openalex.org/I4210141719","https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003590362","display_name":"Zhicheng Zheng","orcid":"https://orcid.org/0000-0002-9235-9074"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhicheng Zheng","raw_affiliation_strings":["Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China","School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China","institution_ids":[]},{"raw_affiliation_string":"School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109770336","display_name":"Kaiju Luo","orcid":null},"institutions":[{"id":"https://openalex.org/I4210164332","display_name":"Shenzhen Second People's Hospital","ror":"https://ror.org/05c74bq69","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210164332"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaiju Luo","raw_affiliation_strings":["Ultrasound Department, the First Affiliated Hospital of Shenzhen University, Second People's Hospital, Shenzen, Guangdong, China, 518058"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ultrasound Department, the First Affiliated Hospital of Shenzhen University, Second People's Hospital, Shenzen, Guangdong, China, 518058","institution_ids":["https://openalex.org/I4210164332"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100306312","display_name":"Yujie Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Xu","raw_affiliation_strings":["Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China","School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China","institution_ids":[]},{"raw_affiliation_string":"School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China","institution_ids":["https://openalex.org/I180726961"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100555640","display_name":"Yizhen Jia","orcid":"https://orcid.org/0009-0007-6846-4660"},"institutions":[{"id":"https://openalex.org/I4210141719","display_name":"University of Hong Kong - Shenzhen Hospital","ror":"https://ror.org/047w7d678","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210141719"]},{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["CN","HK"],"is_corresponding":true,"raw_author_name":"Yizhen Jia","raw_affiliation_strings":["Core Laboratory, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China. jiayz@hku-szh.org","Core Laboratory, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Core Laboratory, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China. jiayz@hku-szh.org","institution_ids":["https://openalex.org/I4210141719","https://openalex.org/I889458895"]},{"raw_affiliation_string":"Core Laboratory, the University of Hong Kong-Shenzhen Hospital, Shenzen, Guangdong, 518058, China","institution_ids":["https://openalex.org/I4210141719","https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072878754","display_name":"Yongjin Zhou","orcid":"https://orcid.org/0000-0002-0067-8466"},"institutions":[{"id":"https://openalex.org/I180726961","display_name":"Shenzhen University","ror":"https://ror.org/01vy4gh70","country_code":"CN","type":"education","lineage":["https://openalex.org/I180726961"]},{"id":"https://openalex.org/I4210142993","display_name":"China Shenhua Energy (China)","ror":"https://ror.org/046fag481","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210142993"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yongjin Zhou","raw_affiliation_strings":["Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China. yjzhou@szu.edu.cn","School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China. yjzhou@szu.edu.cn","Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China"],"raw_orcid":"https://orcid.org/0000-0002-0067-8466","affiliations":[{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China. yjzhou@szu.edu.cn","institution_ids":["https://openalex.org/I4210142993"]},{"raw_affiliation_string":"School of Biomedical Engineering, Medical School, Shenzhen University, Shenzen, Guangdong, 518058, China. yjzhou@szu.edu.cn","institution_ids":["https://openalex.org/I180726961"]},{"raw_affiliation_string":"Marshall Laboratory of Biomedical Engineering, Shenzen, Guangdong, 518058, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5100555640"],"corresponding_institution_ids":["https://openalex.org/I4210141719","https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":1.0137,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.77363585,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":"7","issue":"1","first_page":"22","last_page":"22"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10290","display_name":"Pregnancy and preeclampsia studies","score":0.9991000294685364,"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/T10673","display_name":"Gestational Diabetes Research and Management","score":0.9987999796867371,"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/T12979","display_name":"Cardiovascular Disease and Adiposity","score":0.9728000164031982,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/logistic-regression","display_name":"Logistic regression","score":0.6717628836631775},{"id":"https://openalex.org/keywords/fetal-macrosomia","display_name":"Fetal macrosomia","score":0.665852427482605},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.6206182241439819},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5773382782936096},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5471512079238892},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48664864897727966},{"id":"https://openalex.org/keywords/fetal-weight","display_name":"Fetal weight","score":0.43096500635147095},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4214158058166504},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.37811413407325745},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.295911967754364},{"id":"https://openalex.org/keywords/birth-weight","display_name":"Birth weight","score":0.21421411633491516}],"concepts":[{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.6717628836631775},{"id":"https://openalex.org/C2781291890","wikidata":"https://www.wikidata.org/wiki/Q1886514","display_name":"Fetal macrosomia","level":5,"score":0.665852427482605},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.6206182241439819},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5773382782936096},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5471512079238892},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48664864897727966},{"id":"https://openalex.org/C2993934573","wikidata":"https://www.wikidata.org/wiki/Q4128476","display_name":"Fetal weight","level":4,"score":0.43096500635147095},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4214158058166504},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.37811413407325745},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.295911967754364},{"id":"https://openalex.org/C66322754","wikidata":"https://www.wikidata.org/wiki/Q4128476","display_name":"Birth weight","level":3,"score":0.21421411633491516},{"id":"https://openalex.org/C46973012","wikidata":"https://www.wikidata.org/wiki/Q28627","display_name":"Gestation","level":3,"score":0.0},{"id":"https://openalex.org/C2779434492","wikidata":"https://www.wikidata.org/wiki/Q126691","display_name":"Gestational diabetes","level":4,"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":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s42492-024-00172-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-024-00172-9","pdf_url":"https://vciba.springeropen.com/counter/pdf/10.1186/s42492-024-00172-9","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},{"id":"pmid:39190235","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39190235","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":"Visual computing for industry, biomedicine, and art","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11349957","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11349957","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11349957/pdf/42492_2024_Article_172.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","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Vis Comput Ind Biomed Art","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:1d3946bef3b442a88ab5cd6172f882ff","is_oa":true,"landing_page_url":"https://doaj.org/article/1d3946bef3b442a88ab5cd6172f882ff","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":"Visual Computing for Industry, Biomedicine, and Art, Vol 7, Iss 1, Pp 1-10 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s42492-024-00172-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s42492-024-00172-9","pdf_url":"https://vciba.springeropen.com/counter/pdf/10.1186/s42492-024-00172-9","source":{"id":"https://openalex.org/S3035464634","display_name":"Visual Computing for Industry Biomedicine and Art","issn_l":"2096-496X","issn":["2096-496X","2524-4442"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Visual Computing for Industry, Biomedicine, and Art","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.8299999833106995,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322170","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86"},{"id":"https://openalex.org/F4320331685","display_name":"University of Hong Kong-Shenzhen Hospital","ror":"https://ror.org/047w7d678"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4401924732.pdf"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W93679744","https://openalex.org/W123269191","https://openalex.org/W631380176","https://openalex.org/W1491060753","https://openalex.org/W1560852134","https://openalex.org/W1565283841","https://openalex.org/W1605688901","https://openalex.org/W1830887839","https://openalex.org/W1965555277","https://openalex.org/W1977324100","https://openalex.org/W1985003582","https://openalex.org/W2002064177","https://openalex.org/W2008056655","https://openalex.org/W2013323807","https://openalex.org/W2018402689","https://openalex.org/W2026421762","https://openalex.org/W2027565381","https://openalex.org/W2034803998","https://openalex.org/W2041523190","https://openalex.org/W2050029130","https://openalex.org/W2052572195","https://openalex.org/W2052840575","https://openalex.org/W2091545263","https://openalex.org/W2136132422","https://openalex.org/W2144559357","https://openalex.org/W2295598076","https://openalex.org/W2480418144","https://openalex.org/W2540453806","https://openalex.org/W2605048364","https://openalex.org/W2610046773","https://openalex.org/W2753825783","https://openalex.org/W2755728047","https://openalex.org/W2775244970","https://openalex.org/W2789413961","https://openalex.org/W2793012778","https://openalex.org/W2886045080","https://openalex.org/W2904529089","https://openalex.org/W2911964244","https://openalex.org/W2912321595","https://openalex.org/W2978631110","https://openalex.org/W2978725006","https://openalex.org/W2986936637","https://openalex.org/W2996777258","https://openalex.org/W3003924089","https://openalex.org/W4242841269","https://openalex.org/W4250687146","https://openalex.org/W4285719420"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W4367335965","https://openalex.org/W4385574838","https://openalex.org/W2004826645","https://openalex.org/W4367335937","https://openalex.org/W4308573183","https://openalex.org/W2032236020","https://openalex.org/W152067187"],"abstract_inverted_index":{"Fetal":[0],"macrosomia":[1,27,69,78,225],"is":[2],"associated":[3,125],"with":[4,126,211],"maternal":[5],"and":[6,24,36,42,92,101,141,168,183,201,226],"newborn":[7],"complications":[8],"due":[9],"to":[10,61,121,172],"incorrect":[11],"fetal":[12,50],"weight":[13],"estimation":[14],"or":[15],"inappropriate":[16],"choice":[17],"of":[18,26,56,77,129,133,158],"delivery":[19,34,173,233],"models.":[20,234],"The":[21,75,115,131,176,206],"early":[22],"screening":[23],"evaluation":[25,146],"in":[28,47,112,220,229],"the":[29,53,127,139,144,180,193,202,212,216],"third":[30,54],"trimester":[31,55],"can":[32,223],"improve":[33],"outcomes":[35],"reduce":[37],"complications.":[38],"However,":[39],"traditional":[40,203],"clinical":[41],"ultrasound":[43,162],"examinations":[44],"face":[45],"difficulties":[46],"obtaining":[48],"accurate":[49],"measurements":[51],"during":[52],"pregnancy.":[57],"This":[58],"study":[59,222],"aims":[60],"develop":[62,151],"a":[63,110],"comprehensive":[64],"predictive":[65],"model":[66,196],"for":[67],"detecting":[68],"using":[70,80,103],"machine":[71],"learning":[72],"(ML)":[73],"algorithms.":[74],"accuracy":[76],"prediction":[79,154],"logistic":[81],"regression,":[82],"k-nearest":[83],"neighbors,":[84],"support":[85],"vector":[86],"machine,":[87],"random":[88],"forest":[89],"(RF),":[90],"XGBoost,":[91,182],"LightGBM":[93,184],"algorithms":[94,136,218],"was":[95,99,119],"explored.":[96],"Each":[97],"approach":[98],"trained":[100],"validated":[102],"data":[104],"from":[105],"3244":[106],"pregnant":[107],"women":[108],"at":[109],"hospital":[111],"southern":[113],"China.":[114],"information":[116],"gain":[117],"method":[118],"employed":[120],"identify":[122],"deterministic":[123],"features":[124],"occurrence":[128],"macrosomia.":[130],"performance":[132],"six":[134],"ML":[135,199,217],"based":[137,160],"on":[138,161],"recall":[140],"area":[142],"under":[143],"curve":[145],"metrics":[147],"were":[148,174],"compared.":[149],"To":[150],"an":[152],"efficient":[153],"model,":[155,178],"two":[156],"sets":[157],"experiments":[159],"examination":[163],"records":[164],"within":[165],"1-7":[166],"days":[167,170],"8-14":[169],"prior":[171],"conducted.":[175],"ensemble":[177,195],"comprising":[179],"RF,":[181],"algorithms,":[185],"showed":[186],"encouraging":[187],"results.":[188],"For":[189],"each":[190],"experimental":[191,207],"group,":[192],"proposed":[194],"outperformed":[197],"other":[198],"approaches":[200],"Hadlock":[204],"formula.":[205],"results":[208],"indicate":[209],"that,":[210],"most":[213],"risk-relevant":[214],"features,":[215],"presented":[219],"this":[221],"predict":[224],"assist":[227],"obstetricians":[228],"selecting":[230],"more":[231],"appropriate":[232]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
