{"id":"https://openalex.org/W4391249892","doi":"https://doi.org/10.1109/ic3i59117.2023.10397615","title":"Polycystic Ovary Syndrome Detection using Deep Learning","display_name":"Polycystic Ovary Syndrome Detection using Deep Learning","publication_year":2023,"publication_date":"2023-09-14","ids":{"openalex":"https://openalex.org/W4391249892","doi":"https://doi.org/10.1109/ic3i59117.2023.10397615"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i59117.2023.10397615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10397615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"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/A5023819670","display_name":"Kajal Gupta","orcid":"https://orcid.org/0000-0002-0665-1539"},"institutions":[{"id":"https://openalex.org/I166533956","display_name":"Institute of Management Technology","ror":"https://ror.org/05k0kb696","country_code":"IN","type":"education","lineage":["https://openalex.org/I166533956"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Kajal Gupta","raw_affiliation_strings":["Ajay Kumar Garg Engineering College,Computer Science Engineering Department,Ghaziabad,India","Computer Science Engineering Department, Ajay Kumar Garg Engineering College, Ghaziabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajay Kumar Garg Engineering College,Computer Science Engineering Department,Ghaziabad,India","institution_ids":["https://openalex.org/I166533956"]},{"raw_affiliation_string":"Computer Science Engineering Department, Ajay Kumar Garg Engineering College, Ghaziabad, India","institution_ids":["https://openalex.org/I166533956"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057941088","display_name":"Rajesh Prasad","orcid":"https://orcid.org/0000-0002-3456-6980"},"institutions":[{"id":"https://openalex.org/I166533956","display_name":"Institute of Management Technology","ror":"https://ror.org/05k0kb696","country_code":"IN","type":"education","lineage":["https://openalex.org/I166533956"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Rajesh Prasad","raw_affiliation_strings":["Ajay Kumar Garg Engineering College,Computer Science Engineering Department,Ghaziabad,India","Computer Science Engineering Department, Ajay Kumar Garg Engineering College, Ghaziabad, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ajay Kumar Garg Engineering College,Computer Science Engineering Department,Ghaziabad,India","institution_ids":["https://openalex.org/I166533956"]},{"raw_affiliation_string":"Computer Science Engineering Department, Ajay Kumar Garg Engineering College, Ghaziabad, India","institution_ids":["https://openalex.org/I166533956"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166533956"],"apc_list":null,"apc_paid":null,"fwci":2.4763,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":{"value":0.89828063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1465","last_page":"1468"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.4936999976634979,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T13169","display_name":"Consumer Perception and Purchasing Behavior","score":0.4936999976634979,"subfield":{"id":"https://openalex.org/subfields/1406","display_name":"Marketing"},"field":{"id":"https://openalex.org/fields/14","display_name":"Business, Management and Accounting"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/polycystic-ovary","display_name":"Polycystic ovary","score":0.8380815982818604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5755351185798645},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46308356523513794},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.43511682748794556},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.34244656562805176},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.23928582668304443}],"concepts":[{"id":"https://openalex.org/C3018442814","wikidata":"https://www.wikidata.org/wiki/Q500816","display_name":"Polycystic ovary","level":4,"score":0.8380815982818604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5755351185798645},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46308356523513794},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.43511682748794556},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.34244656562805176},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.23928582668304443},{"id":"https://openalex.org/C2779306644","wikidata":"https://www.wikidata.org/wiki/Q2002370","display_name":"Insulin","level":2,"score":0.0},{"id":"https://openalex.org/C2777391703","wikidata":"https://www.wikidata.org/wiki/Q1053470","display_name":"Insulin resistance","level":3,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i59117.2023.10397615","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i59117.2023.10397615","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 6th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1995806857","https://openalex.org/W2085891931","https://openalex.org/W2462941928","https://openalex.org/W2593831809","https://openalex.org/W2768149277","https://openalex.org/W2779605423","https://openalex.org/W2793887346","https://openalex.org/W2904616002","https://openalex.org/W2925258685","https://openalex.org/W2949825098","https://openalex.org/W3025760896","https://openalex.org/W3095170843","https://openalex.org/W3199350126","https://openalex.org/W3209934268","https://openalex.org/W4210354485","https://openalex.org/W4211119787","https://openalex.org/W4211231448","https://openalex.org/W4220840585","https://openalex.org/W4221092010","https://openalex.org/W4231003958","https://openalex.org/W4243150065","https://openalex.org/W4256049924","https://openalex.org/W4280561982","https://openalex.org/W4316465781","https://openalex.org/W4321616858","https://openalex.org/W6691459498","https://openalex.org/W6811515478"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W2939353110","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W4213079790","https://openalex.org/W2248239756"],"abstract_inverted_index":{"Polycystic":[0],"Ovary":[1],"Syndrome":[2],"(PCOS)":[3],"is":[4,9,19,146],"an":[5,61,221],"endocrine":[6,45],"disorder":[7,18,46],"that":[8,118,136,204,216,233],"commonly":[10],"found":[11,203],"in":[12,38,57,63,83,94,99,105,115,121],"women":[13,58,106],"of":[14,24,34,90,98,125,133,157,224,229,257],"reproductive":[15],"age.":[16],"The":[17,168,227,255],"identified":[20],"by":[21,171,249,265],"the":[22,32,39,42,50,67,84,96,122,142,149,155,158,163,172,209,217,230,239,245,267],"increase":[23,62],"androgen,":[25],"oligomenorrhea,":[26],"anovulation,":[27],"and":[28,69,74,81,102,107,154,166,178],"sometimes":[29],"due":[30],"to":[31,52,60,252],"presence":[33],"many":[35],"ingrown":[36],"follicles":[37],"ovary":[40],"or":[41],"cysts.":[43],"This":[44],"does":[47],"not":[48],"allow":[49],"follicle":[51],"grow":[53],"for":[54],"ovulation.":[55],"Anovulation":[56],"leads":[59],"weight,":[64],"hair":[65],"on":[66,139],"face":[68],"neck,":[70],"missed":[71],"period":[72],"cycles,":[73],"can":[75,214,261],"also":[76],"cause":[77],"high":[78],"blood":[79],"pressure":[80],"diabetes":[82,101],"coming":[85],"years.":[86],"An":[87],"early":[88,123],"diagnosis":[89,124],"PCOS":[91,225],"will":[92,119],"help":[93,120],"reducing":[95],"chances":[97],"fertilisation,":[100],"heart":[103],"disease":[104],"hence":[108],"we":[109,213],"have":[110,129],"a":[111,113,131],"proposed":[112,218,235,259],"methodology":[114],"this":[116],"paper":[117],"PC":[126],"OS.":[127],"We":[128],"used":[130,248],"dataset":[132,150],"541":[134],"patients":[135],"was":[137,160,176,181,202],"available":[138],"Kaggle.":[140],"Then":[141],"deep":[143,173,205],"learning":[144,174,206],"model":[145,219,237],"trained":[147],"with":[148,162,183],"obtained":[151,170,238],"from":[152],"Kaggle":[153],"comparison":[156],"result":[159,228],"done":[161],"DT,":[164],"SVM":[165],"RF.":[167],"accuracy":[169,241,256],"classifier":[175,207],"98.07%":[177],"when":[179],"it":[180,201],"compared":[182],"other":[184],"functional":[185],"classifiers":[186,247],"such":[187],"as":[188],"SVM,":[189],"DT":[190],"AND":[191],"RF":[192],"(accuracy":[193],"lies":[194],"between":[195],"83-96":[196],"<sup":[197],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[198],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">%</sup>":[199],")":[200],"achieved":[208],"highest":[210],"accuracy.":[211],"Hence,":[212],"say":[215],"provides":[220],"effective":[222],"way":[223],"prediction.":[226],"study":[231],"confirms":[232],"our":[234,258],"DL":[236],"best":[240],"rate":[242],"among":[243],"all":[244],"different":[246,250],"authors":[251],"predict":[253],"PCOS.":[254],"system":[260],"further":[262],"be":[263],"increased":[264],"including":[266],"omics":[268],"data.":[269]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":3}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
