{"id":"https://openalex.org/W4313314845","doi":null,"title":"Application with Multilayer Perceptron and Radial Basis Function from Neural Network-Based Methods to Predict Cervical Cancer","display_name":"Application with Multilayer Perceptron and Radial Basis Function from Neural Network-Based Methods to Predict Cervical Cancer","publication_year":2022,"publication_date":"2022-09-22","ids":{"openalex":"https://openalex.org/W4313314845"},"language":"en","primary_location":{"id":"pmh:oai:dergipark.org.tr:article/1178619","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/odutip/issue/74758/1178619","pdf_url":"https://dergipark.org.tr/tr/pub/odutip/issue/74758/1178619","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"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":"OD\u00dc T\u0131p Dergisi","raw_type":"info:eu-repo/semantics/article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://dergipark.org.tr/tr/pub/odutip/issue/74758/1178619","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067186768","display_name":"\u0130pek Bal\u0131k\u00e7\u0131 \u00c7i\u00e7ek","orcid":"https://orcid.org/0000-0002-3805-9214","observed_orcids":["https://orcid.org/0000-0002-3805-9214"]},"institutions":[{"id":"https://openalex.org/I20126385","display_name":"Inonu University","ror":"https://ror.org/04asck240","country_code":"TR","type":"education","lineage":["https://openalex.org/I20126385"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Bal\u0131k\u00e7\u0131 \u00c7i\u00e7ek, \u0130pek","raw_affiliation_strings":["\u0130N\u00d6N\u00dc \u00dcN\u0130VERS\u0130TES\u0130, TIP FAK\u00dcLTES\u0130"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u0130N\u00d6N\u00dc \u00dcN\u0130VERS\u0130TES\u0130, TIP FAK\u00dcLTES\u0130","institution_ids":["https://openalex.org/I20126385"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5078259919","display_name":"Zeynep K\u00fc\u00e7\u00fckak\u00e7al\u0131","orcid":"https://orcid.org/0000-0001-7956-9272","observed_orcids":["https://orcid.org/0000-0001-7956-9272"]},"institutions":[{"id":"https://openalex.org/I20126385","display_name":"Inonu University","ror":"https://ror.org/04asck240","country_code":"TR","type":"education","lineage":["https://openalex.org/I20126385"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"K\u00fc\u00e7\u00fckak\u00e7al\u0131, Zeynep","raw_affiliation_strings":["\u0130N\u00d6N\u00dc \u00dcN\u0130VERS\u0130TES\u0130, TIP FAK\u00dcLTES\u0130"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"\u0130N\u00d6N\u00dc \u00dcN\u0130VERS\u0130TES\u0130, TIP FAK\u00dcLTES\u0130","institution_ids":["https://openalex.org/I20126385"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I20126385"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9628999829292297,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.031199999153614044,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0019000000320374966,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"cervical cancer","score":0.9900000095367432},{"id":"https://openalex.org/keywords/cancer-diagnosis","display_name":"cancer diagnosis","score":0.46000000834465027},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"multilayer perceptron","score":0.9309999942779541},{"id":"https://openalex.org/keywords/radial-basis-function-neural-network","display_name":"radial basis function neural network","score":0.9480000138282776},{"id":"https://openalex.org/keywords/risk-factors","display_name":"risk factors","score":0.5350000262260437},{"id":"https://openalex.org/keywords/sexual-risk-behavior","display_name":"sexual risk behavior","score":0.9200000166893005},{"id":"https://openalex.org/keywords/empowerment","display_name":"empowerment","score":0.8069999814033508},{"id":"https://openalex.org/keywords/motivation","display_name":"motivation","score":0.5649999976158142},{"id":"https://openalex.org/keywords/diagnostic-prediction-model","display_name":"diagnostic prediction model","score":0.5509999990463257},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.5759999752044678}],"concepts":[{"id":"https://openalex.org/C98856871","wikidata":"https://www.wikidata.org/wiki/Q1588488","display_name":"Radial basis function","level":3,"score":0.7791129350662231},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6773306131362915},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.6492231488227844},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.5882847905158997},{"id":"https://openalex.org/C12426560","wikidata":"https://www.wikidata.org/wiki/Q189569","display_name":"Basis (linear algebra)","level":2,"score":0.507297694683075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4672781229019165},{"id":"https://openalex.org/C132917294","wikidata":"https://www.wikidata.org/wiki/Q2679684","display_name":"Radial basis function network","level":4,"score":0.466564804315567},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4646325409412384},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.46144524216651917},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3696523606777191},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.2606624960899353},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2565383315086365},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19732508063316345},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.15688350796699524},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.15672490000724792},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:dergipark.org.tr:article/1178619","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/odutip/issue/74758/1178619","pdf_url":"https://dergipark.org.tr/tr/pub/odutip/issue/74758/1178619","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"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":"OD\u00dc T\u0131p Dergisi","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:dergipark.org.tr:article/1178619","doi":null,"is_oa":true,"landing_page_url":"https://dergipark.org.tr/tr/pub/odutip/issue/74758/1178619","pdf_url":"https://dergipark.org.tr/tr/pub/odutip/issue/74758/1178619","source":{"id":"https://openalex.org/S4306401840","display_name":"DergiPark (Istanbul University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67581229","host_organization_name":"Istanbul University","host_organization_lineage":["https://openalex.org/I67581229"],"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":"OD\u00dc T\u0131p Dergisi","raw_type":"info:eu-repo/semantics/article"},"sustainable_development_goals":[{"score":0.9922999739646912,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4313314845.pdf","grobid_xml":"https://content.openalex.org/works/W4313314845.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4313314856","https://openalex.org/W2957396665","https://openalex.org/W4400168799","https://openalex.org/W4362499289","https://openalex.org/W3200722156","https://openalex.org/W4394572287","https://openalex.org/W3047113895","https://openalex.org/W2103427986","https://openalex.org/W4396628562","https://openalex.org/W6951016260"],"abstract_inverted_index":{"Objective:":[0],"Cervical":[1],"cancer":[2,50,94,97,222],"is":[3],"the":[4,24,33,36,39,62,86,127,147,151,156,161,187,195,197,202,232,239,241,250,254],"fourth":[5],"most":[6,199],"prevalent":[7],"malignancy":[8,43],"among":[9],"women":[10],"worldwide.":[11],"Low-":[12],"and":[13,38,70,75,95,118,122,135,171,182,210,223,248],"middle-income":[14],"countries":[15],"are":[16],"much":[17],"more":[18],"burdened":[19],"than":[20],"high-income":[21],"nations.":[22],"Therefore,":[23],"need":[25],"to":[26,31,54,186,246],"develop":[27],"new":[28],"diagnostic":[29,58,228],"techniques":[30],"predict":[32],"course":[34],"of":[35,41,90,194,238,256],"disease":[37],"prognosis":[40],"this":[42,47,100],"has":[44,160],"increased.":[45],"In":[46],"study,":[48],"cervical":[49,93,221,257],"will":[51,79,243],"be":[52,80,244],"classified":[53,220],"create":[55],"an":[56],"accurate":[57,227],"predictive":[59,133,137,169,173],"model":[60,144,158,218],"using":[61],"machine":[63,216],"learning":[64,217],"method":[65],"The":[66,108,214],"Multilayer":[67],"Perceptron":[68],"(MLPNN)":[69],"Radial":[71],"Based":[72],"ANN":[73],"(RBFNN),":[74],"disease-related":[76],"risk":[77],"factors":[78],"determined.Methods:":[81],"This":[82],"current":[83],"study":[84],"considered":[85],"open-access":[87],"data":[88,102,109],"set":[89,110],"patients":[91,105],"that":[92,159],"no-cervical":[96],"samples.":[98],"For":[99],"purpose,":[101],"from":[103,155],"72":[104],"were":[106,124,141,175,204],"included.":[107],"was":[111],"divided":[112],"as":[113,115,177,191,235],"80:20":[114],"a":[116,192,225,236],"training":[117],"test":[119,152],"dataset.":[120],"MLPNN":[121],"RBFNN":[123,157],"used":[125],"for":[126,143,253],"classification":[128,163],"Accuracy,":[129],"specificity,":[130,166],"AUC,":[131,167],"positive":[132,168],"value,":[134,170],"negative":[136,172],"value":[138,174],"performance":[139,148],"metrics":[140],"evaluated":[142],"performance.Results:":[145],"Among":[146],"criteria":[149],"in":[150],"stage":[153],"obtained":[154,176,190],"best":[162],"result;":[164],"accuracy,":[165],"92.3%,":[178],"100.0%,":[179,181],"96.5%,":[180],"91.6%,":[183],"respectively.":[184],"According":[185],"variable":[188],"importance":[189],"result":[193,237],"model,":[196],"variables":[198],"associated":[200],"with":[201],"diagnosis":[203,255],"behavior":[205],"sexual":[206],"risk,":[207],"empowerment":[208],"abilities,":[209],"motivation":[211],"strength,":[212],"respectively.Conclusion:":[213],"applied":[215],"successfully":[219],"created":[224],"highly":[226],"prediction":[229],"model.":[230],"With":[231],"parameters":[233],"determined":[234],"modeling,":[240],"clinician":[242],"able":[245],"simplify":[247],"facilitate":[249],"decision-making":[251],"process":[252],"cancer.":[258]},"counts_by_year":[],"updated_date":"2026-09-01T08:31:24.195828","created_date":"2023-01-06T00:00:00"}
