{"id":"https://openalex.org/W7124176233","doi":"https://doi.org/10.1145/3777577.3777618","title":"Research on the timing and abnormality determination of NIPT based on statistical analysis and regression model","display_name":"Research on the timing and abnormality determination of NIPT based on statistical analysis and regression model","publication_year":2025,"publication_date":"2025-10-24","ids":{"openalex":"https://openalex.org/W7124176233","doi":"https://doi.org/10.1145/3777577.3777618"},"language":null,"primary_location":{"id":"doi:10.1145/3777577.3777618","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777618","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3777577.3777618","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5005728287","display_name":"Zike Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zike Wang","raw_affiliation_strings":["School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123020128","display_name":"Jiaye Li","orcid":null},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiaye Li","raw_affiliation_strings":["School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027423435","display_name":"Yanxu Hou","orcid":"https://orcid.org/0009-0006-4763-8556"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanxu Hou","raw_affiliation_strings":["School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Information Science and Engineering, Dalian Polytechnic University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021485957","display_name":"Youqi Zhang","orcid":"https://orcid.org/0000-0003-4555-5061"},"institutions":[{"id":"https://openalex.org/I88372448","display_name":"Dalian Polytechnic University","ror":"https://ror.org/00c7x4a95","country_code":"CN","type":"education","lineage":["https://openalex.org/I88372448"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yujie Zhang","raw_affiliation_strings":["School of Basic Teaching Department, Dalian Polytechnic University, Dalian, Liaoning, China"],"affiliations":[{"raw_affiliation_string":"School of Basic Teaching Department, Dalian Polytechnic University, Dalian, Liaoning, China","institution_ids":["https://openalex.org/I88372448"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5005728287"],"corresponding_institution_ids":["https://openalex.org/I88372448"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.85753462,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"256","last_page":"261"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.8828999996185303,"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/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.8828999996185303,"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/T12552","display_name":"Fetal and Pediatric Neurological Disorders","score":0.06040000170469284,"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/T11213","display_name":"Genomic variations and chromosomal abnormalities","score":0.02630000002682209,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.7113000154495239},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5543000102043152},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5077000260353088},{"id":"https://openalex.org/keywords/reliability","display_name":"Reliability (semiconductor)","score":0.45669999718666077},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.44760000705718994},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43970000743865967},{"id":"https://openalex.org/keywords/contrast","display_name":"Contrast (vision)","score":0.42489999532699585},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.39489999413490295}],"concepts":[{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.7113000154495239},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5543000102043152},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5472999811172485},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5077000260353088},{"id":"https://openalex.org/C43214815","wikidata":"https://www.wikidata.org/wiki/Q7310987","display_name":"Reliability (semiconductor)","level":3,"score":0.45669999718666077},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.44760000705718994},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43970000743865967},{"id":"https://openalex.org/C2776502983","wikidata":"https://www.wikidata.org/wiki/Q690182","display_name":"Contrast (vision)","level":2,"score":0.42489999532699585},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.4083000123500824},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.39489999413490295},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.39430001378059387},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3939000070095062},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.3903000056743622},{"id":"https://openalex.org/C87007009","wikidata":"https://www.wikidata.org/wiki/Q210832","display_name":"Statistical hypothesis testing","level":2,"score":0.3788999915122986},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35359999537467957},{"id":"https://openalex.org/C50382708","wikidata":"https://www.wikidata.org/wiki/Q223218","display_name":"Proportional hazards model","level":2,"score":0.3418000042438507},{"id":"https://openalex.org/C30481170","wikidata":"https://www.wikidata.org/wiki/Q37748","display_name":"Chromosome","level":3,"score":0.33230000734329224},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.33219999074935913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31369999051094055},{"id":"https://openalex.org/C2986587452","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical analysis","level":2,"score":0.273499995470047},{"id":"https://openalex.org/C41771347","wikidata":"https://www.wikidata.org/wiki/Q1228929","display_name":"Discriminant function analysis","level":2,"score":0.27320000529289246},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2597000002861023}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3777577.3777618","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777618","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3777577.3777618","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3777577.3777618","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2025 6th International Symposium on Artificial Intelligence for Medical Sciences","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":3,"referenced_works":["https://openalex.org/W4403217182","https://openalex.org/W4407700099","https://openalex.org/W4411949199"],"related_works":[],"abstract_inverted_index":{"Non-invasive":[0],"prenatal":[1],"testing":[2,28,95],"(NIPT)[1]":[3],"holds":[4],"significant":[5],"clinical":[6,188],"value":[7],"in":[8,42,74,108,125,179],"early":[9,92],"screening":[10],"for":[11,122,187],"fetal":[12,76],"chromosomal":[13],"abnormalities.":[14],"However,":[15],"existing":[16],"studies":[17],"often":[18],"rely":[19],"on":[20,62],"a":[21,57,80,116,141,183],"single":[22],"factor":[23],"to":[24,32,46,78,103],"predict":[25],"the":[26,47,89,156,167,174],"optimal":[27],"time,":[29],"which":[30],"struggles":[31],"balance":[33],"accuracy":[34,152,168],"and":[35,64,70,93,113,134,173],"stability.":[36],"Furthermore,":[37],"abnormality":[38,123,177],"identification":[39,124,178],"remains":[40],"challenging":[41],"female":[43,126,180],"fetuses":[44],"due":[45],"lack":[48],"of":[49,91,153,169,176],"Y":[50],"chromosome":[51,129],"markers.":[52],"Therefore,":[53],"this":[54,163],"paper":[55],"proposes":[56],"comprehensive":[58],"modeling":[59],"framework":[60,164],"based":[61],"statistics":[63],"machine":[65,144],"learning.":[66],"First,":[67],"Cox":[68],"LASSO[3]":[69],"XGBoost[2]":[71],"are":[72,101,138],"introduced":[73],"male":[75],"samples":[77],"construct":[79],"multi-factor":[81],"prediction":[82,109,172],"model.":[83],"A":[84],"risk":[85],"minimization":[86],"function":[87],"combining":[88,128],"risks":[90],"late":[94],"is":[96,120],"designed.":[97],"Monte":[98],"Carlo":[99],"simulations":[100],"used":[102],"assess":[104],"model":[105,119,149],"stability,":[106],"resulting":[107],"errors":[110],"between":[111],"2%":[112],"3%.":[114],"Second,":[115],"random":[117,147],"forest":[118,148],"developed":[121],"fetuses,":[127,181],"Z-score,":[130],"GC":[131],"content,":[132],"BMI,":[133],"sequencing":[135],"features.":[136],"Comparisons":[137],"made":[139],"with":[140],"support":[142],"vector":[143],"(SVM).":[145],"The":[146],"achieves":[150],"an":[151],"89.83%,":[154],"outperforming":[155],"SVM's":[157],"85.14%.":[158],"Experimental":[159],"results":[160],"demonstrate":[161],"that":[162],"significantly":[165],"improves":[166],"NIPT":[170],"timing":[171],"reliability":[175],"providing":[182],"more":[184],"robust":[185],"reference":[186],"testing.":[189]},"counts_by_year":[],"updated_date":"2026-01-15T23:21:31.212559","created_date":"2026-01-15T00:00:00"}