{"id":"https://openalex.org/W4285084091","doi":"https://doi.org/10.1142/s0218126623500196","title":"Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques","display_name":"Prognosis of Cervical Cancer Disease by Applying Machine Learning Techniques","publication_year":2022,"publication_date":"2022-07-13","ids":{"openalex":"https://openalex.org/W4285084091","doi":"https://doi.org/10.1142/s0218126623500196"},"language":"en","primary_location":{"id":"doi:10.1142/s0218126623500196","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500196","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-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/A5065033944","display_name":"Gaurav Kumawat","orcid":"https://orcid.org/0000-0002-3396-3562"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Gaurav Kumawat","raw_affiliation_strings":["Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur 302034, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur 302034, Rajasthan, India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024053073","display_name":"Santosh Kumar Vishwakarma","orcid":"https://orcid.org/0000-0003-4631-2942"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Kumar Vishwakarma","raw_affiliation_strings":["Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur 302034, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manipal University Jaipur, Jaipur 302034, Rajasthan, India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089771051","display_name":"Pr\u0105sun Chakrabarti","orcid":"https://orcid.org/0000-0001-8062-4144"},"institutions":[{"id":"https://openalex.org/I110116418","display_name":"Maharaja Sayajirao University of Baroda","ror":"https://ror.org/01bx8ja67","country_code":"IN","type":"education","lineage":["https://openalex.org/I110116418"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Prasun Chakrabarti","raw_affiliation_strings":["ITM SLS Baroda University, Vadodara 391510, Gujarat, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"ITM SLS Baroda University, Vadodara 391510, Gujarat, India","institution_ids":["https://openalex.org/I110116418"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081478732","display_name":"Pankaj Chittora","orcid":"https://orcid.org/0000-0001-9047-3001"},"institutions":[{"id":"https://openalex.org/I73779912","display_name":"Manipal University Jaipur","ror":"https://ror.org/040h76494","country_code":null,"type":"education","lineage":["https://openalex.org/I73779912"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Pankaj Chittora","raw_affiliation_strings":["Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Manipal University Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I73779912"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5011507183","display_name":"Tulika Chakrabarti","orcid":"https://orcid.org/0000-0001-6604-3669"},"institutions":[{"id":"https://openalex.org/I94511900","display_name":"Sir Padampat Singhania University","ror":"https://ror.org/03mhsvf98","country_code":"IN","type":"education","lineage":["https://openalex.org/I94511900"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tulika Chakrabarti","raw_affiliation_strings":["Department of Basic Science, Sir Padampat Singhania University, Udaipur-313601, Rajasthan, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Basic Science, Sir Padampat Singhania University, Udaipur-313601, Rajasthan, India","institution_ids":["https://openalex.org/I94511900"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5000640263","display_name":"Jerry Chun\u2010Wei Lin","orcid":"https://orcid.org/0000-0001-8768-9709"},"institutions":[{"id":"https://openalex.org/I179863766","display_name":"Western Norway University of Applied Sciences","ror":"https://ror.org/05phns765","country_code":"NO","type":"education","lineage":["https://openalex.org/I179863766"]}],"countries":["NO"],"is_corresponding":true,"raw_author_name":"Jerry Chun-Wei Lin","raw_affiliation_strings":["Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063, Bergen, Norway"],"raw_orcid":"https://orcid.org/0000-0001-8768-9709","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Electrical Engineering and Mathematical Sciences, Western Norway University of Applied Sciences, 5063, Bergen, Norway","institution_ids":["https://openalex.org/I179863766"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000640263"],"corresponding_institution_ids":["https://openalex.org/I179863766"],"apc_list":null,"apc_paid":null,"fwci":8.6218,"has_fulltext":false,"cited_by_count":63,"citation_normalized_percentile":{"value":0.98608686,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":"32","issue":"01","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10146","display_name":"Cervical Cancer and HPV Research","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T10668","display_name":"Endometrial and Cervical Cancer Treatments","score":0.9828000068664551,"subfield":{"id":"https://openalex.org/subfields/2729","display_name":"Obstetrics and Gynecology"},"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":0.9435999989509583,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.7625293731689453},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7492610216140747},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7088103294372559},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7086264491081238},{"id":"https://openalex.org/keywords/cervical-cancer","display_name":"Cervical cancer","score":0.6588889956474304},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.617984414100647},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.5697002410888672},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5417545437812805},{"id":"https://openalex.org/keywords/lasso","display_name":"Lasso (programming language)","score":0.540679931640625},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.523405134677887},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4685590863227844},{"id":"https://openalex.org/keywords/bayesian-network","display_name":"Bayesian network","score":0.46045994758605957},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.4297841191291809},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.4284493923187256},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.4103914201259613},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1960635483264923},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13010257482528687}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7625293731689453},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7492610216140747},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7088103294372559},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7086264491081238},{"id":"https://openalex.org/C2778220009","wikidata":"https://www.wikidata.org/wiki/Q160105","display_name":"Cervical cancer","level":3,"score":0.6588889956474304},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.617984414100647},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5697002410888672},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5417545437812805},{"id":"https://openalex.org/C37616216","wikidata":"https://www.wikidata.org/wiki/Q3218363","display_name":"Lasso (programming language)","level":2,"score":0.540679931640625},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.523405134677887},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4685590863227844},{"id":"https://openalex.org/C33724603","wikidata":"https://www.wikidata.org/wiki/Q812540","display_name":"Bayesian network","level":2,"score":0.46045994758605957},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.4297841191291809},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.4284493923187256},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.4103914201259613},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1960635483264923},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13010257482528687},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218126623500196","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218126623500196","pdf_url":null,"source":{"id":"https://openalex.org/S167602672","display_name":"Journal of Circuits Systems and Computers","issn_l":"0218-1266","issn":["0218-1266","1793-6454"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Circuits, Systems and Computers","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6899999976158142,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1495754190","https://openalex.org/W1730693163","https://openalex.org/W2010528952","https://openalex.org/W2011771294","https://openalex.org/W2046249464","https://openalex.org/W2079536314","https://openalex.org/W2131255017","https://openalex.org/W2131835937","https://openalex.org/W2132549764","https://openalex.org/W2153896900","https://openalex.org/W2418380127","https://openalex.org/W2522192076","https://openalex.org/W2773680231","https://openalex.org/W2803106869","https://openalex.org/W2913966870","https://openalex.org/W2944606883","https://openalex.org/W2966567401","https://openalex.org/W3047884290","https://openalex.org/W3083874642"],"related_works":["https://openalex.org/W4367336074","https://openalex.org/W4379620016","https://openalex.org/W3154045278","https://openalex.org/W3210764983","https://openalex.org/W4367335949","https://openalex.org/W3089416646","https://openalex.org/W4285162676","https://openalex.org/W4382052559","https://openalex.org/W3036529732","https://openalex.org/W2780266336"],"abstract_inverted_index":{"Cervical":[0],"cancer":[1,36,57,85,98,117],"is":[2,12,37,206],"one":[3,124],"of":[4,17,24,28,55,114,172,195,242,261,267,280,295],"the":[5,18,25,38,51,62,92,101,168,173,216,240,259,265,290],"deadliest":[6],"diseases":[7],"in":[8,132,213],"women":[9],"worldwide.":[10],"It":[11,205,249],"caused":[13],"by":[14],"long-term":[15],"infection":[16],"skin":[19],"cells":[20,23],"and":[21,53,123,151,160,170,188,245,256,270,278,293],"mucosal":[22],"genital":[26],"area":[27],"women.":[29],"The":[30,106,192],"most":[31],"disturbing":[32],"thing":[33],"about":[34],"this":[35,73,112,133,211],"fact":[39],"that":[40,209,283],"it":[41,48,67,235],"does":[42],"not":[43],"show":[44],"any":[45],"symptoms":[46],"when":[47,234],"occurs.":[49],"In":[50,72],"diagnosis":[52],"prognosis":[54],"cervical":[56,84,97,116,262],"disease,":[58],"machine":[59,79,93],"learning":[60,80,94,223],"has":[61,224],"potential":[63,252],"to":[64,82,166,227,237,288],"help":[65],"detect":[66,83],"at":[68,86],"an":[69,87,136,143,152],"early":[70,88],"stage.":[71,89],"paper,":[74],"we":[75],"analyzed":[76],"different":[77,107],"supervised":[78],"techniques":[81],"To":[90],"train":[91],"model,":[95],"a":[96,140,145,148,162],"dataset":[99,113],"from":[100],"UCI":[102],"repository":[103],"was":[104,197],"used.":[105],"methods":[108],"were":[109,130,157,179],"evaluated":[110],"using":[111,199],"858":[115],"patients":[118],"with":[119,159,202,239],"36":[120],"risk":[121],"factors":[122],"outcome":[125,297],"variable.":[126],"Six":[127],"classification":[128],"algorithms":[129,178],"applied":[131],"study,":[134],"including":[135],"artificial":[137],"neural":[138],"network,":[139,142],"Bayesian":[141],"SVM,":[144],"random":[146],"tree,":[147,150],"logistic":[149],"XG-boost":[153],"tree.":[154],"All":[155],"models":[156,233],"trained":[158],"without":[161],"feature":[163,176,217],"selection":[164,177,218],"algorithm":[165,219],"compare":[167],"performance":[169],"accuracy":[171,194],"classifiers.":[174],"Three":[175],"used,":[180],"namely":[181],"(i)":[182],"relief":[183],"rank,":[184],"(ii)":[185],"wrapper":[186],"method":[187],"(iii)":[189],"LASSO":[190],"regression.":[191],"maximum":[193],"94.94%":[196],"recorded":[198],"XG":[200],"Boost":[201],"complete":[203],"features.":[204,248],"also":[207],"observed":[208],"for":[210,253,257],"dataset,":[212],"some":[214],"cases,":[215],"performs":[220],"better.":[221],"Machine":[222],"been":[225],"shown":[226],"have":[228],"advantages":[229],"over":[230],"traditional":[231],"statistical":[232],"comes":[236],"dealing":[238],"complexity":[241],"large-scale":[243],"data":[244],"uncovering":[246],"prognostic":[247],"offers":[250],"much":[251],"clinical":[254,296],"use":[255],"improving":[258],"treatment":[260],"cancer.":[263],"However,":[264],"limitations":[266],"prediction":[268],"studies":[269],"models,":[271],"such":[272],"as":[273],"simplified,":[274],"incomplete":[275],"information,":[276],"overfitting,":[277],"lack":[279],"interpretability,":[281],"suggest":[282],"further":[284],"efforts":[285],"are":[286],"needed":[287],"improve":[289],"accuracy,":[291],"reliability,":[292],"practicality":[294],"prediction.":[298]},"counts_by_year":[{"year":2026,"cited_by_count":7},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":20},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":16}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
