{"id":"https://openalex.org/W4409539661","doi":"https://doi.org/10.1186/s12911-025-03004-9","title":"A machine learning\u2013based framework for predicting postpartum chronic pain: a retrospective study","display_name":"A machine learning\u2013based framework for predicting postpartum chronic pain: a retrospective study","publication_year":2025,"publication_date":"2025-04-17","ids":{"openalex":"https://openalex.org/W4409539661","doi":"https://doi.org/10.1186/s12911-025-03004-9","pmid":"https://pubmed.ncbi.nlm.nih.gov/40247305"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-03004-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03004-9","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03004-9","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/s12911-025-03004-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5091832997","display_name":"Fan Liu","orcid":"https://orcid.org/0000-0001-9241-8161"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Liu","raw_affiliation_strings":["Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100416904","display_name":"Ting Li","orcid":"https://orcid.org/0000-0003-3132-991X"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ting Li","raw_affiliation_strings":["Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101749664","display_name":"Dongxu Zhou","orcid":"https://orcid.org/0000-0002-2481-9542"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongxu Zhou","raw_affiliation_strings":["Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103217147","display_name":"Shengnan Shi","orcid":"https://orcid.org/0000-0001-7459-1112"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shengnan Shi","raw_affiliation_strings":["Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China","institution_ids":["https://openalex.org/I4210113795"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066306778","display_name":"Xingrui Gong","orcid":"https://orcid.org/0000-0002-8180-0661"},"institutions":[{"id":"https://openalex.org/I4210113795","display_name":"Hubei University of Arts and Science","ror":"https://ror.org/0212jcf64","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210113795"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingrui Gong","raw_affiliation_strings":["Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China. gongxrhbxy@sohu.com"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institution of Neuroscience and Brain Disease, Department of Anesthesiology, Xiangyang Central Hospital, Affiliated Hospital of Hubei University of Arts and Science, No 136, Jingzhou Street, Xiangcheng District, Xiangyang, Hubei, 441000, China. gongxrhbxy@sohu.com","institution_ids":["https://openalex.org/I4210113795"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210113795"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":9.1121,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.97961116,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"25","issue":"1","first_page":"168","last_page":"168"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12715","display_name":"Pregnancy-related medical research","score":0.5444999933242798,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational 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/T12715","display_name":"Pregnancy-related medical research","score":0.5444999933242798,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational 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/T10673","display_name":"Gestational Diabetes Research and Management","score":0.1136000007390976,"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/T11290","display_name":"Preterm Birth and Chorioamnionitis","score":0.07329999655485153,"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/health-informatics","display_name":"Health informatics","score":0.6925197243690491},{"id":"https://openalex.org/keywords/retrospective-cohort-study","display_name":"Retrospective cohort study","score":0.527399480342865},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5126473307609558},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4698796570301056},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.4539210796356201},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4118736982345581},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.20143723487854004},{"id":"https://openalex.org/keywords/nursing","display_name":"Nursing","score":0.2010621428489685},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12384474277496338}],"concepts":[{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.6925197243690491},{"id":"https://openalex.org/C167135981","wikidata":"https://www.wikidata.org/wiki/Q2146302","display_name":"Retrospective cohort study","level":2,"score":0.527399480342865},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5126473307609558},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4698796570301056},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4539210796356201},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4118736982345581},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.20143723487854004},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.2010621428489685},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12384474277496338}],"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":"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":"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":"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":"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":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D049590","descriptor_name":"Postpartum Period","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049590","descriptor_name":"Postpartum Period","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049590","descriptor_name":"Postpartum Period","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D049590","descriptor_name":"Postpartum Period","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true},{"descriptor_ui":"D059350","descriptor_name":"Chronic Pain","qualifier_ui":"Q000453","qualifier_name":"epidemiology","is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-03004-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03004-9","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03004-9","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:40247305","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/40247305","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:doaj.org/article:199c26b2ca4840fd9d9d96dc34240658","is_oa":true,"landing_page_url":"https://doaj.org/article/199c26b2ca4840fd9d9d96dc34240658","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 1-12 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12007194","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/12007194","pdf_url":null,"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":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1186/s12911-025-03004-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03004-9","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-025-03004-9","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":[{"id":"https://openalex.org/G8391875228","display_name":null,"funder_award_id":"2023AFD041","funder_id":"https://openalex.org/F4320322186","funder_display_name":"Natural Science Foundation of Hubei Province"}],"funders":[{"id":"https://openalex.org/F4320322186","display_name":"Natural Science Foundation of Hubei Province","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4409539661.pdf","grobid_xml":"https://content.openalex.org/works/W4409539661.grobid-xml"},"referenced_works_count":47,"referenced_works":["https://openalex.org/W1800473427","https://openalex.org/W1968519175","https://openalex.org/W1984680364","https://openalex.org/W1988939512","https://openalex.org/W1990251399","https://openalex.org/W2004291370","https://openalex.org/W2066758693","https://openalex.org/W2097274662","https://openalex.org/W2098990501","https://openalex.org/W2113399583","https://openalex.org/W2156830875","https://openalex.org/W2292507621","https://openalex.org/W2342969114","https://openalex.org/W2548235365","https://openalex.org/W2581908356","https://openalex.org/W2589805776","https://openalex.org/W2602969391","https://openalex.org/W2626555392","https://openalex.org/W2727856545","https://openalex.org/W2753813048","https://openalex.org/W2770346636","https://openalex.org/W2799553621","https://openalex.org/W2802792529","https://openalex.org/W2898259654","https://openalex.org/W2938546210","https://openalex.org/W2942872441","https://openalex.org/W2946820825","https://openalex.org/W2972320421","https://openalex.org/W2979605140","https://openalex.org/W2980430934","https://openalex.org/W2990087304","https://openalex.org/W2999236042","https://openalex.org/W3012413426","https://openalex.org/W3022842346","https://openalex.org/W3156952016","https://openalex.org/W4307622861","https://openalex.org/W4311692379","https://openalex.org/W4366422919","https://openalex.org/W4376873110","https://openalex.org/W4384025272","https://openalex.org/W4385427438","https://openalex.org/W4387613228","https://openalex.org/W4389132319","https://openalex.org/W4396938983","https://openalex.org/W4399694648","https://openalex.org/W4400123292","https://openalex.org/W4403062412"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4387369504","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Postpartum":[0],"chronic":[1,31,112,148,270,290,315,326,361,380,398],"pain":[2,59,113,149,183,291,308,327,333,340,371],"is":[3],"prevalent,":[4],"affecting":[5],"many":[6],"women":[7,45,139],"after":[8,74,116,152,170,330,344],"delivery.":[9,75,117,153,293,331],"Machine":[10],"learning":[11,39,78,277],"algorithms":[12,79,190],"have":[13],"been":[14],"widely":[15],"used":[16,105,123],"in":[17,46,251,267,320,395],"predicting":[18,111,268,396],"postoperative":[19,325],"conditions.":[20],"We":[21],"investigated":[22],"the":[23,64,83,100,108,126,132,189,221,242,245,248,252,287,376],"prevalence":[24],"of":[25,128,136,244,247,289,324,339,378],"and":[26,33,71,87,181,209,230,284,304,353,368],"risk":[27,262,357,390],"factors":[28,358],"for":[29,41,110,142,188,233,312,359,375],"postpartum":[30,138,269,306,314,360,369,379,397],"pain,":[32],"aimed":[34],"to":[35,55,106,124,131],"develop":[36],"a":[37,321],"machine":[38,77,276],"model":[40,109,219,234],"its":[42],"prediction.":[43],"Pregnant":[44],"our":[47,295],"tertiary":[48],"hospital":[49],"were":[50,80,140,191],"screened":[51],"from":[52],"July":[53],"2021":[54],"June":[56],"2022.":[57],"Postoperative":[58],"intensity":[60],"was":[61,90,104,122,231],"assessed":[62],"using":[63,82,237],"numerical":[65,164],"rating":[66,165],"scale":[67,166],"at":[68,167,341],"1,":[69],"3,":[70],"6":[72,114,150,328],"months":[73,115,151,329],"Six":[76],"benchmarked":[81],"nested":[84],"resampling":[85],"method,":[86],"their":[88],"performance":[89,102,223,266,394],"evaluated":[91],"based":[92],"on":[93],"classification":[94],"error":[95],"(CE).":[96],"The":[97,154,186,215,254,382],"algorithm":[98,278],"with":[99],"best":[101,222],"evaluation":[103],"establish":[107],"Shapley":[118,238],"additive":[119,239],"explanations":[120,240],"analysis":[121],"assess":[125],"contribution":[127],"each":[129],"variable":[130],"model.":[133,253],"A":[134],"total":[135],"1,398":[137],"included":[141],"analysis,":[143,202],"among":[144],"whom":[145],"383":[146],"developed":[147],"least":[155],"absolute":[156],"shrinkage":[157],"selection":[158],"operator":[159],"identified":[160],"five":[161,249,261,389],"relevant":[162],"factors:":[163],"3":[168,342],"days":[169,343],"delivery,":[171,176,180,345,352],"body":[172,299,348],"mass":[173,349],"index":[174,350],"before":[175,351],"newborn":[177,346],"weight,":[178,347],"multiparous":[179,354],"back":[182],"during":[184,302,334,366],"gestation.":[185],"CEs":[187],"as":[192],"follows:":[193],"K-nearest":[194],"neighbor,":[195],"0.212;":[196],"logistic":[197],"regression,":[198],"0.342;":[199],"linear":[200],"discriminant":[201],"0.343;":[203],"naive":[204],"Bayes,":[205],"0.346;":[206],"ranger,":[207],"0.219;":[208],"extreme":[210,216,255,383],"gradient":[211,217,256,384],"boosting":[212,218,257,385],"model,":[213],"0.147.":[214],"exhibited":[220],"(CE":[224],"=":[225,228],"0.147,":[226],"F1":[227],"0.851)":[229],"selected":[232],"establishment.":[235],"Visualization":[236],"facilitated":[241],"interpretation":[243],"influence":[246],"variables":[250],"algorithm,":[258,386],"which":[259,387],"incorporates":[260,388],"factors,":[263,391],"demonstrated":[264,392],"strong":[265,393],"pain.":[271,316,362,381,399],"https//www.chictr.org.cn/":[272],"(ChiCTR2300070514).":[273],"Our":[274],"established":[275],"may":[279],"help":[280],"facilitate":[281],"early":[282],"screening":[283],"potentially":[285],"prevent":[286],"development":[288],"following":[292],"Additionally,":[294],"findings":[296],"highlight":[297],"that":[298],"weight":[300,364],"control":[301,365],"gestation":[303,367],"effective":[305],"acute":[307,370],"management":[309,372],"are":[310,356,373],"critical":[311,374],"preventing":[313],"Cesarean":[317],"section":[318],"results":[319],"high":[322],"incidence":[323],"Back":[332],"gestation,":[335],"Numerical":[336],"Rating":[337],"Scale":[338],"delivery":[355],"Body":[363],"prevention":[377]},"counts_by_year":[{"year":2026,"cited_by_count":4},{"year":2025,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}