{"id":"https://openalex.org/W3043515953","doi":"https://doi.org/10.1080/08839514.2020.1790246","title":"A Classification Model for Predicting Fetus with down Syndrome \u2013 A Study from Turkey","display_name":"A Classification Model for Predicting Fetus with down Syndrome \u2013 A Study from Turkey","publication_year":2020,"publication_date":"2020-07-14","ids":{"openalex":"https://openalex.org/W3043515953","doi":"https://doi.org/10.1080/08839514.2020.1790246","mag":"3043515953"},"language":"en","primary_location":{"id":"doi:10.1080/08839514.2020.1790246","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2020.1790246","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5003350592","display_name":"Alptekin Durmu\u015fo\u011flu","orcid":"https://orcid.org/0000-0001-9800-5747"},"institutions":[{"id":"https://openalex.org/I59738393","display_name":"Gaziantep University","ror":"https://ror.org/020vvc407","country_code":"TR","type":"education","lineage":["https://openalex.org/I59738393"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Alptekin Durmu\u015fo\u011flu","raw_affiliation_strings":["Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-9800-5747","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey","institution_ids":["https://openalex.org/I59738393"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027447239","display_name":"Merhad Ay","orcid":"https://orcid.org/0000-0002-6892-7924"},"institutions":[{"id":"https://openalex.org/I87673952","display_name":"Erciyes University","ror":"https://ror.org/047g8vk19","country_code":"TR","type":"education","lineage":["https://openalex.org/I87673952"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Memet Merhad Ay","raw_affiliation_strings":["Department of Industrial Engineering, Erciyes University, Kayseri, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6892-7924","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Erciyes University, Kayseri, Turkey","institution_ids":["https://openalex.org/I87673952"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058908317","display_name":"Zeynep Didem Unutmaz Durmu\u015fo\u011flu","orcid":"https://orcid.org/0000-0001-7891-3764"},"institutions":[{"id":"https://openalex.org/I59738393","display_name":"Gaziantep University","ror":"https://ror.org/020vvc407","country_code":"TR","type":"education","lineage":["https://openalex.org/I59738393"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Zeynep Didem Unutmaz Durmu\u015fo\u011flu","raw_affiliation_strings":["Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey"],"raw_orcid":"https://orcid.org/0000-0001-7891-3764","affiliations":[{"raw_affiliation_string":"Department of Industrial Engineering, Gaziantep University, Gaziantep, Turkey","institution_ids":["https://openalex.org/I59738393"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5003350592"],"corresponding_institution_ids":["https://openalex.org/I59738393"],"apc_list":{"value":2195,"currency":"USD","value_usd":2195},"apc_paid":null,"fwci":1.3088,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.8229461,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":"34","issue":"12","first_page":"898","last_page":"915"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10978","display_name":"Prenatal Screening and Diagnostics","score":0.9986000061035156,"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":0.9986000061035156,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/triple-test","display_name":"Triple test","score":0.8839114904403687},{"id":"https://openalex.org/keywords/false-positive-paradox","display_name":"False positive paradox","score":0.6498702764511108},{"id":"https://openalex.org/keywords/abnormality","display_name":"Abnormality","score":0.5819883346557617},{"id":"https://openalex.org/keywords/false-positive-rate","display_name":"False positive rate","score":0.5211865305900574},{"id":"https://openalex.org/keywords/amniocentesis","display_name":"Amniocentesis","score":0.5080313682556152},{"id":"https://openalex.org/keywords/fetus","display_name":"Fetus","score":0.5041607618331909},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.480232298374176},{"id":"https://openalex.org/keywords/obstetrics","display_name":"Obstetrics","score":0.45748060941696167},{"id":"https://openalex.org/keywords/cardiotocography","display_name":"Cardiotocography","score":0.4389737844467163},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.40729057788848877},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.35411715507507324},{"id":"https://openalex.org/keywords/pregnancy","display_name":"Pregnancy","score":0.337772011756897},{"id":"https://openalex.org/keywords/gynecology","display_name":"Gynecology","score":0.33179810643196106},{"id":"https://openalex.org/keywords/prenatal-diagnosis","display_name":"Prenatal diagnosis","score":0.22679316997528076},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.11873689293861389},{"id":"https://openalex.org/keywords/psychiatry","display_name":"Psychiatry","score":0.0989808440208435}],"concepts":[{"id":"https://openalex.org/C2780733764","wikidata":"https://www.wikidata.org/wiki/Q1686059","display_name":"Triple test","level":4,"score":0.8839114904403687},{"id":"https://openalex.org/C64869954","wikidata":"https://www.wikidata.org/wiki/Q1859747","display_name":"False positive paradox","level":2,"score":0.6498702764511108},{"id":"https://openalex.org/C50965678","wikidata":"https://www.wikidata.org/wiki/Q2724302","display_name":"Abnormality","level":2,"score":0.5819883346557617},{"id":"https://openalex.org/C95922358","wikidata":"https://www.wikidata.org/wiki/Q5432725","display_name":"False positive rate","level":2,"score":0.5211865305900574},{"id":"https://openalex.org/C2777966818","wikidata":"https://www.wikidata.org/wiki/Q473768","display_name":"Amniocentesis","level":5,"score":0.5080313682556152},{"id":"https://openalex.org/C172680121","wikidata":"https://www.wikidata.org/wiki/Q26513","display_name":"Fetus","level":3,"score":0.5041607618331909},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.480232298374176},{"id":"https://openalex.org/C131872663","wikidata":"https://www.wikidata.org/wiki/Q5284418","display_name":"Obstetrics","level":1,"score":0.45748060941696167},{"id":"https://openalex.org/C2776046940","wikidata":"https://www.wikidata.org/wiki/Q886292","display_name":"Cardiotocography","level":4,"score":0.4389737844467163},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.40729057788848877},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.35411715507507324},{"id":"https://openalex.org/C2779234561","wikidata":"https://www.wikidata.org/wiki/Q11995","display_name":"Pregnancy","level":2,"score":0.337772011756897},{"id":"https://openalex.org/C29456083","wikidata":"https://www.wikidata.org/wiki/Q1221899","display_name":"Gynecology","level":1,"score":0.33179810643196106},{"id":"https://openalex.org/C2778258057","wikidata":"https://www.wikidata.org/wiki/Q1136569","display_name":"Prenatal diagnosis","level":4,"score":0.22679316997528076},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.11873689293861389},{"id":"https://openalex.org/C118552586","wikidata":"https://www.wikidata.org/wiki/Q7867","display_name":"Psychiatry","level":1,"score":0.0989808440208435},{"id":"https://openalex.org/C54355233","wikidata":"https://www.wikidata.org/wiki/Q7162","display_name":"Genetics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1080/08839514.2020.1790246","is_oa":false,"landing_page_url":"https://doi.org/10.1080/08839514.2020.1790246","pdf_url":null,"source":{"id":"https://openalex.org/S125501549","display_name":"Applied Artificial Intelligence","issn_l":"0883-9514","issn":["0883-9514","1087-6545"],"is_oa":false,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320547","host_organization_name":"Taylor & Francis","host_organization_lineage":["https://openalex.org/P4310320547"],"host_organization_lineage_names":["Taylor & Francis"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8d66750cf6734c11a38ec48568eeb805","is_oa":false,"landing_page_url":"https://doaj.org/article/8d66750cf6734c11a38ec48568eeb805","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Applied Artificial Intelligence, Vol 34, Iss 12, Pp 898-915 (2020)","raw_type":"article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":73,"referenced_works":["https://openalex.org/W30338573","https://openalex.org/W842461937","https://openalex.org/W1507300330","https://openalex.org/W1524683827","https://openalex.org/W1581587400","https://openalex.org/W1855381480","https://openalex.org/W1924978779","https://openalex.org/W1976697231","https://openalex.org/W2004360581","https://openalex.org/W2016977762","https://openalex.org/W2025303427","https://openalex.org/W2028238669","https://openalex.org/W2030462641","https://openalex.org/W2030645242","https://openalex.org/W2034630136","https://openalex.org/W2053869190","https://openalex.org/W2058357902","https://openalex.org/W2058475434","https://openalex.org/W2059105166","https://openalex.org/W2060376441","https://openalex.org/W2065454702","https://openalex.org/W2068670002","https://openalex.org/W2076696004","https://openalex.org/W2076925151","https://openalex.org/W2079589085","https://openalex.org/W2084843914","https://openalex.org/W2106491791","https://openalex.org/W2107502169","https://openalex.org/W2117620266","https://openalex.org/W2125818553","https://openalex.org/W2128189337","https://openalex.org/W2132791018","https://openalex.org/W2133990480","https://openalex.org/W2137356002","https://openalex.org/W2137733616","https://openalex.org/W2139381701","https://openalex.org/W2142827986","https://openalex.org/W2148143831","https://openalex.org/W2167464971","https://openalex.org/W2187593044","https://openalex.org/W2195308882","https://openalex.org/W2230666456","https://openalex.org/W2233069400","https://openalex.org/W2236292476","https://openalex.org/W2295458513","https://openalex.org/W2412527470","https://openalex.org/W2413832562","https://openalex.org/W2415201610","https://openalex.org/W2475800280","https://openalex.org/W2562036780","https://openalex.org/W2591503963","https://openalex.org/W2594566409","https://openalex.org/W2624545785","https://openalex.org/W2762435690","https://openalex.org/W2766107367","https://openalex.org/W2767758376","https://openalex.org/W2794608873","https://openalex.org/W2799762611","https://openalex.org/W2803469998","https://openalex.org/W2806068666","https://openalex.org/W2890748370","https://openalex.org/W2916033447","https://openalex.org/W2921917752","https://openalex.org/W2931015981","https://openalex.org/W2932730561","https://openalex.org/W2935927062","https://openalex.org/W2946023183","https://openalex.org/W2947740714","https://openalex.org/W2950709357","https://openalex.org/W2972355841","https://openalex.org/W2989746935","https://openalex.org/W4303090045","https://openalex.org/W4400948341"],"related_works":["https://openalex.org/W2967282879","https://openalex.org/W2144175340","https://openalex.org/W2158074367","https://openalex.org/W101962219","https://openalex.org/W2956121726","https://openalex.org/W2066371588","https://openalex.org/W3119537175","https://openalex.org/W2183061943","https://openalex.org/W2027184711","https://openalex.org/W4282824511"],"abstract_inverted_index":{"The":[0,70,175],"triple":[1,97,160,183,210],"test":[2,6,98,161,184,211],"is":[3,75,113,200],"a":[4,15,19,23,63,83,101,131,186],"screening":[5],"(blood":[7],"test)":[8],"used":[9,76],"to":[10,77,221],"calculate":[11,78],"the":[12,42,53,58,73,79,96,106,109,114,117,123,180,201,205,218],"probability":[13,80],"of":[14,45,72,81,95,105,108,120,130,145,182,189],"pregnant":[16,46,124],"woman":[17],"having":[18,82],"fetus":[20,61,64,84],"that":[21],"has":[22,99],"chromosomal":[24,86],"abnormality":[25,87],"like":[26,88],"Down":[27],"Syndrome":[28],"(DS).":[29],"AFP":[30],"(Alpha-Fetoprotein),":[31],"hCG":[32],"(Human":[33],"Chorionic":[34],"Gonadotropin),":[35],"and":[36,50,142,170,191],"uE3":[37],"(Unconjugated":[38],"Estriol)":[39],"values":[40,119],"in":[41,116],"blood":[43],"sample":[44],"women":[47,125],"are":[48,67,194],"computed":[49],"compared":[51],"with":[52,65,85,166,185],"similar":[54],"real":[55],"records":[56,137],"where":[57],"outputs":[59],"(healthy":[60],"or":[62],"DS)":[66],"actually":[68],"known.":[69],"likelihood":[71],"indicators":[74,121],"DS.":[89],"However,":[90],"high":[91,110,187],"false":[92,111,172],"positive":[93,173],"rate":[94,169],"been":[100],"problematic":[102],"issue.":[103],"One":[104],"reasons":[107],"positives":[112],"differences":[115],"norm":[118],"for":[122,196,208],"from":[126,139],"different":[127,153],"geographical":[128],"regions":[129],"country.":[132],"We":[133],"use":[134],"81":[135],"patient":[136],"retrieved":[138],"\u015eahinbey":[140],"Training":[141],"Research":[143],"Hospital":[144],"Gaziantep":[146],"University;":[147],"Turkey.":[148],"In":[149],"our":[150],"study,":[151],"nine":[152],"classification":[154],"algorithms":[155],"were":[156],"trained":[157],"based":[158],"on":[159],"indicators.":[162],"Multilayer":[163],"perceptron":[164,177],"outperformed":[165],"94.24%":[167],"detection":[168],"13%":[171],"rate.":[174],"multilayer":[176],"can":[178,216],"predict":[179],"outcome":[181],"level":[188],"accuracy":[190],"fewer":[192],"patients":[193],"suggested":[195],"amniocentesis.":[197],"This":[198],"study":[199,203],"first":[202],"using":[204],"MLP":[206,214],"model":[207],"Turkish":[209],"data.":[212],"Regional":[213],"models":[215],"eliminate":[217],"bias":[219],"due":[220],"local":[222],"biological":[223],"differences.":[224]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}