{"id":"https://openalex.org/W4388937634","doi":"https://doi.org/10.1109/icccnt56998.2023.10308316","title":"A comprehensive investigation into the use of machine learning to forecast ovarian cancer","display_name":"A comprehensive investigation into the use of machine learning to forecast ovarian cancer","publication_year":2023,"publication_date":"2023-07-06","ids":{"openalex":"https://openalex.org/W4388937634","doi":"https://doi.org/10.1109/icccnt56998.2023.10308316"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt56998.2023.10308316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10308316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","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/A5072547898","display_name":"Chetna Vaid Kwatra","orcid":null},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Chetna Vaid Kwatra","raw_affiliation_strings":["Lovely Professional University,Department Of Computer Science And Engineering,Jalandhar,Punjab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lovely Professional University,Department Of Computer Science And Engineering,Jalandhar,Punjab,India","institution_ids":["https://openalex.org/I110360157"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101827572","display_name":"Harpreet Kaur","orcid":"https://orcid.org/0000-0002-3038-8339"},"institutions":[{"id":"https://openalex.org/I110360157","display_name":"Lovely Professional University","ror":"https://ror.org/00et6q107","country_code":"IN","type":"education","lineage":["https://openalex.org/I110360157"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Harpreet Kaur","raw_affiliation_strings":["Lovely Professional University,Department Of Computer Science And Engineering,Jalandhar,Punjab,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Lovely Professional University,Department Of Computer Science And Engineering,Jalandhar,Punjab,India","institution_ids":["https://openalex.org/I110360157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I110360157"],"apc_list":null,"apc_paid":null,"fwci":0.9931,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.78963829,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":97,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10550","display_name":"Ovarian cancer diagnosis and treatment","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2743","display_name":"Reproductive Medicine"},"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/T10550","display_name":"Ovarian cancer diagnosis and treatment","score":0.993399977684021,"subfield":{"id":"https://openalex.org/subfields/2743","display_name":"Reproductive Medicine"},"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":0.9919000267982483,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9829000234603882,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/machine-learning","display_name":"Machine learning","score":0.8350723385810852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7216793894767761},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.718273937702179},{"id":"https://openalex.org/keywords/ovarian-cancer","display_name":"Ovarian cancer","score":0.7074723839759827},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.6536929607391357},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6210927963256836},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5955474376678467},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.5760401487350464},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.45038628578186035},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.3848749101161957},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24012717604637146},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.13703614473342896}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8350723385810852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7216793894767761},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.718273937702179},{"id":"https://openalex.org/C2780427987","wikidata":"https://www.wikidata.org/wiki/Q172341","display_name":"Ovarian cancer","level":3,"score":0.7074723839759827},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.6536929607391357},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6210927963256836},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5955474376678467},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.5760401487350464},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.45038628578186035},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.3848749101161957},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24012717604637146},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.13703614473342896}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt56998.2023.10308316","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt56998.2023.10308316","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46000000834465027,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W2901642092","https://openalex.org/W4205998308","https://openalex.org/W4281700786","https://openalex.org/W4281887347","https://openalex.org/W4309322427"],"related_works":["https://openalex.org/W4200112873","https://openalex.org/W2955796858","https://openalex.org/W4224941037","https://openalex.org/W4367335965","https://openalex.org/W4385574838","https://openalex.org/W2004826645","https://openalex.org/W4367335937","https://openalex.org/W3135818052","https://openalex.org/W4308573183","https://openalex.org/W4367335967"],"abstract_inverted_index":{"Ovarian":[0,26],"cancer,":[1],"a":[2,23],"deadly":[3],"disease,":[4],"affects":[5],"women":[6],"worldwide.":[7],"Early":[8,35],"detection":[9,36],"improves":[10],"treatment":[11,106],"and":[12,30,37,44,65,73,77,91,105,124,135,137],"survival.":[13],"This":[14],"research":[15,53],"investigates":[16],"ovarian":[17,50,87],"cancer":[18,51],"prediction":[19,52],"using":[20,132],"machine":[21,38,82],"learning,":[22],"potential":[24,40],"technology.":[25],"cancer's":[27],"history,":[28],"symptoms,":[29],"current":[31],"diagnosis":[32,43,104],"are":[33,46],"covered.":[34],"learning's":[39],"to":[41,140],"improve":[42,101],"therapy":[45],"highlighted.":[47],"Machine":[48],"learning":[49,83,134],"is":[54],"summarised":[55],"next.":[56],"Discussions":[57],"include":[58],"logistic":[59],"regression,":[60],"decision":[61],"trees,":[62],"random":[63],"forests,":[64],"support":[66],"vector":[67],"machines.":[68],"We":[69],"compare":[70],"method":[71],"accuracy":[72,90],"discuss":[74],"their":[75],"pros":[76],"cons.":[78],"The":[79,111,129],"study":[80],"suggests":[81],"algorithms":[84],"could":[85],"predict":[86],"cancer.":[88],"Model":[89],"AUC":[92],"values":[93],"showed":[94],"strong":[95],"forecast":[96],"performance.":[97],"These":[98],"findings":[99],"can":[100],"clinical":[102],"early":[103],"outcomes,":[107],"the":[108,115,119,142],"scientists":[109],"say.":[110],"paper":[112],"concludes":[113],"with":[114],"study's":[116],"drawbacks,":[117],"including":[118],"need":[120],"for":[121],"larger":[122],"datasets":[123],"more":[125],"diverse":[126],"patient":[127],"populations.":[128],"authors":[130],"advise":[131],"deep":[133],"genomes":[136],"proteomics":[138],"data":[139],"advance":[141],"area.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":4}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}