{"id":"https://openalex.org/W4417524038","doi":"https://doi.org/10.1186/s12911-025-03321-z","title":"Machine learning in early screening for high-grade cervical intraepithelial neoplasia using blood testing","display_name":"Machine learning in early screening for high-grade cervical intraepithelial neoplasia using blood testing","publication_year":2025,"publication_date":"2025-12-18","ids":{"openalex":"https://openalex.org/W4417524038","doi":"https://doi.org/10.1186/s12911-025-03321-z","pmid":"https://pubmed.ncbi.nlm.nih.gov/41413554"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-025-03321-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03321-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12911-025-03321-z.pdf","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://link.springer.com/content/pdf/10.1186/s12911-025-03321-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5112729629","display_name":"Congbo Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]},{"id":"https://openalex.org/I4210167271","display_name":"Qingdao Women and Children's Hospital","ror":"https://ror.org/05pwzcb81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210167271"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Congbo Yue","raw_affiliation_strings":["Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China","Qingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong Province, 266111, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China","institution_ids":["https://openalex.org/I4210124809","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Qingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong Province, 266111, P.R. China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210167271"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100682519","display_name":"Shichao Liu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210161528","display_name":"Qilu Hospital of Shandong University","ror":"https://ror.org/056ef9489","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210161528"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shichao Liu","raw_affiliation_strings":["Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong Province, 250012, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Laboratory, Qilu Hospital of Shandong University, Jinan, Shandong Province, 250012, P.R. China","institution_ids":["https://openalex.org/I4210161528"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004620857","display_name":"Wenhua Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]},{"id":"https://openalex.org/I4210162685","display_name":"Qingdao Eighth People's Hospital","ror":"https://ror.org/03xv0cg46","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenhua Wang","raw_affiliation_strings":["Chengyang District Second People's Hospital, Qingdao, Shandong Province, 266111, P.R. China","Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China"],"affiliations":[{"raw_affiliation_string":"Chengyang District Second People's Hospital, Qingdao, Shandong Province, 266111, P.R. China","institution_ids":["https://openalex.org/I4210162685"]},{"raw_affiliation_string":"Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China","institution_ids":["https://openalex.org/I4210124809","https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108442820","display_name":"Yu Tao Zhao","orcid":"https://orcid.org/0000-0001-9446-644X"},"institutions":[{"id":"https://openalex.org/I4210162685","display_name":"Qingdao Eighth People's Hospital","ror":"https://ror.org/03xv0cg46","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210162685"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Zhao","raw_affiliation_strings":["Department of Pathology, Qingdao Eighth People's Hospital, Qingdao, Shandong Province, 266021, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Pathology, Qingdao Eighth People's Hospital, Qingdao, Shandong Province, 266021, P.R. China","institution_ids":["https://openalex.org/I4210162685"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102876198","display_name":"Xiaofeng Zhang","orcid":"https://orcid.org/0009-0001-6301-742X"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]},{"id":"https://openalex.org/I4210167271","display_name":"Qingdao Women and Children's Hospital","ror":"https://ror.org/05pwzcb81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210167271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaofeng Zhang","raw_affiliation_strings":["Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China","Qingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong Province, 266111, P.R. China"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China","institution_ids":["https://openalex.org/I4210124809","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Qingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong Province, 266111, P.R. China","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210167271"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102735245","display_name":"Guanghui Zhao","orcid":"https://orcid.org/0000-0003-2542-1402"},"institutions":[{"id":"https://openalex.org/I108688024","display_name":"Qingdao University","ror":"https://ror.org/021cj6z65","country_code":"CN","type":"education","lineage":["https://openalex.org/I108688024"]},{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4210124809","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210124809"]},{"id":"https://openalex.org/I4210167271","display_name":"Qingdao Women and Children's Hospital","ror":"https://ror.org/05pwzcb81","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210167271"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanghui Zhao","raw_affiliation_strings":["Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China. guanghuizhao@sdu.edu.cn","Qingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong Province, 266111, P.R. China. guanghuizhao@sdu.edu.cn"],"affiliations":[{"raw_affiliation_string":"Department of Clinical Laboratory, Peking University People's Hospital, Qingdao, P.R. China. guanghuizhao@sdu.edu.cn","institution_ids":["https://openalex.org/I4210124809","https://openalex.org/I20231570"]},{"raw_affiliation_string":"Qingdao Women and Children's Hospital, Qingdao University, Qingdao, Shandong Province, 266111, P.R. China. guanghuizhao@sdu.edu.cn","institution_ids":["https://openalex.org/I108688024","https://openalex.org/I4210167271"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5112729629"],"corresponding_institution_ids":["https://openalex.org/I108688024","https://openalex.org/I20231570","https://openalex.org/I4210124809","https://openalex.org/I4210167271"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.53739514,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"26","issue":"1","first_page":"25","last_page":"25"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.7597000002861023,"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"}},"topics":[{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.7597000002861023,"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"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.14830000698566437,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10668","display_name":"Endometrial and Cervical Cancer Treatments","score":0.0215000007301569,"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/cervical-intraepithelial-neoplasia","display_name":"Cervical intraepithelial neoplasia","score":0.6692000031471252},{"id":"https://openalex.org/keywords/colposcopy","display_name":"Colposcopy","score":0.6403999924659729},{"id":"https://openalex.org/keywords/brier-score","display_name":"Brier score","score":0.6273999810218811},{"id":"https://openalex.org/keywords/triage","display_name":"Triage","score":0.607699990272522},{"id":"https://openalex.org/keywords/receiver-operating-characteristic","display_name":"Receiver operating characteristic","score":0.551800012588501},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.5450999736785889},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.43810001015663147},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.43639999628067017}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7617999911308289},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.683899998664856},{"id":"https://openalex.org/C2777343196","wikidata":"https://www.wikidata.org/wiki/Q196788","display_name":"Cervical intraepithelial neoplasia","level":4,"score":0.6692000031471252},{"id":"https://openalex.org/C2776117191","wikidata":"https://www.wikidata.org/wiki/Q912741","display_name":"Colposcopy","level":4,"score":0.6403999924659729},{"id":"https://openalex.org/C35405484","wikidata":"https://www.wikidata.org/wiki/Q4967066","display_name":"Brier score","level":2,"score":0.6273999810218811},{"id":"https://openalex.org/C2777120189","wikidata":"https://www.wikidata.org/wiki/Q780067","display_name":"Triage","level":2,"score":0.607699990272522},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5835000276565552},{"id":"https://openalex.org/C58471807","wikidata":"https://www.wikidata.org/wiki/Q327120","display_name":"Receiver operating characteristic","level":2,"score":0.551800012588501},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.5450999736785889},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.43639999628067017},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.426800012588501},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42089998722076416},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.3709999918937683},{"id":"https://openalex.org/C2776376844","wikidata":"https://www.wikidata.org/wiki/Q886518","display_name":"Complete blood count","level":2,"score":0.35499998927116394},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.3244999945163727},{"id":"https://openalex.org/C93959086","wikidata":"https://www.wikidata.org/wiki/Q6888345","display_name":"Model selection","level":2,"score":0.3111000061035156},{"id":"https://openalex.org/C2780647465","wikidata":"https://www.wikidata.org/wiki/Q5065348","display_name":"Cervical screening","level":4,"score":0.2946000099182129},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.29030001163482666},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.2879999876022339},{"id":"https://openalex.org/C63527458","wikidata":"https://www.wikidata.org/wiki/Q5133829","display_name":"Clinical decision support system","level":3,"score":0.27709999680519104},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.26109999418258667},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.2574000060558319},{"id":"https://openalex.org/C122048520","wikidata":"https://www.wikidata.org/wiki/Q2913954","display_name":"Percentile","level":2,"score":0.2547000050544739}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-025-03321-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03321-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12911-025-03321-z.pdf","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:41413554","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/41413554","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:5caf2cd6075b4d2fbd0915d6a0879214","is_oa":true,"landing_page_url":"https://doaj.org/article/5caf2cd6075b4d2fbd0915d6a0879214","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 26, Iss 1, Pp 1-11 (2025)","raw_type":"article"},{"id":"pmh:oai:pubmedcentral.nih.gov:12829010","is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC12829010/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"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/s12911-025-03321-z","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-025-03321-z","pdf_url":"https://link.springer.com/content/pdf/10.1186/s12911-025-03321-z.pdf","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/F4320324787","display_name":"Peking University","ror":"https://ror.org/02v51f717"},{"id":"https://openalex.org/F4320328813","display_name":"Peking University People's Hospital","ror":"https://ror.org/035adwg89"},{"id":"https://openalex.org/F4320329099","display_name":"Medical Device Innovation Center","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4417524038.pdf","grobid_xml":"https://content.openalex.org/works/W4417524038.grobid-xml"},"referenced_works_count":36,"referenced_works":["https://openalex.org/W1964940342","https://openalex.org/W1988558796","https://openalex.org/W2016321991","https://openalex.org/W2024159843","https://openalex.org/W2035651602","https://openalex.org/W2038172495","https://openalex.org/W2053646914","https://openalex.org/W2097457622","https://openalex.org/W2104225189","https://openalex.org/W2117692326","https://openalex.org/W2123105952","https://openalex.org/W2134564320","https://openalex.org/W2174023915","https://openalex.org/W2581082771","https://openalex.org/W2592929672","https://openalex.org/W2772723798","https://openalex.org/W2797153639","https://openalex.org/W2901954625","https://openalex.org/W2908201961","https://openalex.org/W2988716771","https://openalex.org/W2993250673","https://openalex.org/W3043279728","https://openalex.org/W3048647773","https://openalex.org/W3128646645","https://openalex.org/W3153143002","https://openalex.org/W4311102990","https://openalex.org/W4365451353","https://openalex.org/W4386085407","https://openalex.org/W4391987399","https://openalex.org/W4401153771","https://openalex.org/W4403502192","https://openalex.org/W4405032350","https://openalex.org/W4409276640","https://openalex.org/W4409887589","https://openalex.org/W4414036439","https://openalex.org/W4415728841"],"related_works":[],"abstract_inverted_index":{"High-grade":[0],"cervical":[1,10],"intraepithelial":[2],"neoplasia":[3],"(CIN2/3)":[4,73],"is":[5,46],"a":[6,34,59,228,283],"critical":[7],"precursor":[8],"to":[9,32,48,111,247,286],"cancer,":[11],"yet":[12],"current":[13],"screening":[14],"methods":[15],"(e.g.,":[16],"HPV":[17],"testing,":[18],"colposcopy)":[19],"face":[20],"challenges":[21],"in":[22,27,94],"accessibility":[23],"and":[24,55,74,86,106,115,132,160,204,227],"invasiveness,":[25],"especially":[26],"resource-limited":[28],"settings.":[29],"We":[30,173,280],"aimed":[31],"develop":[33],"non-invasive,":[35],"machine":[36,117],"learning":[37,118,141],"(ML)-based":[38],"model":[39,45,95,123,189,259],"using":[40,140,177],"routine":[41],"blood":[42,87,194],"biomarkers.":[43],"This":[44],"intended":[47],"assess":[49],"the":[50,150,178,188,215,238,243,248,268],"risk":[51,256],"of":[52,82,222,231,274],"high-grade":[53,71,288],"CIN":[54,72,77],"potentially":[56],"serve":[57],"as":[58],"triage":[60],"tool":[61,252],"before":[62],"colposcopy.":[63],"Data":[64],"were":[65,90,109,120],"collected":[66],"from":[67],"two":[68],"groups:":[69],"128":[70],"120":[75],"low-grade":[76],"(CIN1)":[78],"patients.":[79],"A":[80,165],"total":[81],"29":[83],"clinical":[84,171,278],"characteristics":[85],"test":[88],"measurements":[89],"considered":[91],"for":[92,122,170,187],"use":[93],"development.":[96],"Four":[97],"feature":[98,175],"selection":[99],"algorithms":[100,119],"(F-test,":[101],"LASSO":[102],"regression,":[103],"decision":[104],"tree,":[105],"random":[107],"forest)":[108],"used":[110],"identify":[112],"key":[113],"predictors,":[114],"11":[116],"employed":[121],"training.":[124],"The":[125,208,250,258],"dataset":[126],"was":[127,138,168],"split":[128],"into":[129],"training":[130],"(70%)":[131],"testing":[133],"(30%)":[134],"cohorts.":[135],"Model":[136],"performance":[137,262],"evaluated":[139],"curves,":[142,156,159],"receiver":[143],"operating":[144],"characteristic":[145],"curves":[146],"(ROC),":[147],"area":[148],"under":[149],"curve":[151],"(AUC),":[152],"Brier":[153,229],"score,":[154],"calibration":[155],"Precision-Recall":[157],"(PR)":[158],"Decision":[161],"Curve":[162],"Analysis":[163],"(DCA).":[164],"web-based":[166,284],"calculator":[167,285],"developed":[169,282],"deployment.":[172],"assessed":[174],"importance":[176],"SHapley":[179],"Additive":[180],"exPlanation":[181],"(SHAP)":[182],"approach.":[183],"Key":[184],"features":[185],"selected":[186],"included":[190],"creatinine":[191],"(CREA),":[192],"red":[193],"cell":[195],"count":[196,206],"(RBC),":[197],"neutrophil":[198],"ratio":[199],"(NEU%),":[200],"direct":[201],"bilirubin":[202],"(DBIL),":[203],"monocyte":[205],"(MON).":[207],"Support":[209],"Vector":[210],"Machine":[211],"(SVM)":[212],"algorithm":[213,270],"achieved":[214],"best":[216],"predictive":[217],"performance,":[218],"with":[219,267],"an":[220,272],"AUC":[221,273],"0.75":[223],"(95%":[224,233],"CI:":[225,234],"0.69\u20130.80)":[226],"score":[230],"0.21":[232],"0.17\u20130.28).":[235],"By":[236],"employing":[237],"SHAP":[239],"method,":[240],"we":[241],"identified":[242],"variables":[244],"that":[245],"contributed":[246],"model.":[249],"web":[251],"(https://dvhl6xsf29zmdewixjx7kz.streamlit.app)":[253],"provides":[254],"real-time":[255],"stratification.":[257],"demonstrated":[260],"strong":[261],"across":[263],"various":[264],"validation":[265],"metrics,":[266],"SVM":[269],"achieving":[271],"0.75,":[275],"indicating":[276],"potential":[277],"utility.":[279],"also":[281],"estimate":[287],"CIN.":[289]},"counts_by_year":[],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-12-19T00:00:00"}
