{"id":"https://openalex.org/W3213924511","doi":"https://doi.org/10.1145/3474124.3474125","title":"Prostate Cancer Prognosis Using Multi-Layer Perceptron and Class Balancing Techniques","display_name":"Prostate Cancer Prognosis Using Multi-Layer Perceptron and Class Balancing Techniques","publication_year":2021,"publication_date":"2021-08-05","ids":{"openalex":"https://openalex.org/W3213924511","doi":"https://doi.org/10.1145/3474124.3474125","mag":"3213924511"},"language":"en","primary_location":{"id":"doi:10.1145/3474124.3474125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474124.3474125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","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/A5047547546","display_name":"Surbhi Gupta","orcid":"https://orcid.org/0000-0001-6299-4109"},"institutions":[{"id":"https://openalex.org/I59179055","display_name":"Shri Mata Vaishno Devi University","ror":"https://ror.org/036x6w630","country_code":"IN","type":"education","lineage":["https://openalex.org/I59179055"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Surbhi Gupta","raw_affiliation_strings":["Shri Mata Vaishno Devi University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shri Mata Vaishno Devi University, India","institution_ids":["https://openalex.org/I59179055"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018041972","display_name":"Manoj Kumar","orcid":"https://orcid.org/0000-0001-9959-5988"},"institutions":[{"id":"https://openalex.org/I59179055","display_name":"Shri Mata Vaishno Devi University","ror":"https://ror.org/036x6w630","country_code":"IN","type":"education","lineage":["https://openalex.org/I59179055"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Manoj Kumar","raw_affiliation_strings":["Shri Mata Vaishno Devi University, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shri Mata Vaishno Devi University, India","institution_ids":["https://openalex.org/I59179055"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5047547546"],"corresponding_institution_ids":["https://openalex.org/I59179055"],"apc_list":null,"apc_paid":null,"fwci":1.6792,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.87282744,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9937000274658203,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9937000274658203,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9887999892234802,"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":0.9854999780654907,"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/computer-science","display_name":"Computer science","score":0.7807720303535461},{"id":"https://openalex.org/keywords/perceptron","display_name":"Perceptron","score":0.684718132019043},{"id":"https://openalex.org/keywords/prostate-cancer","display_name":"Prostate cancer","score":0.6800655722618103},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6787176132202148},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6664896011352539},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6373579502105713},{"id":"https://openalex.org/keywords/multilayer-perceptron","display_name":"Multilayer perceptron","score":0.569170355796814},{"id":"https://openalex.org/keywords/cancer","display_name":"Cancer","score":0.5110164880752563},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15404626727104187},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.09346714615821838}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7807720303535461},{"id":"https://openalex.org/C60908668","wikidata":"https://www.wikidata.org/wiki/Q690207","display_name":"Perceptron","level":3,"score":0.684718132019043},{"id":"https://openalex.org/C2780192828","wikidata":"https://www.wikidata.org/wiki/Q181257","display_name":"Prostate cancer","level":3,"score":0.6800655722618103},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6787176132202148},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6664896011352539},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6373579502105713},{"id":"https://openalex.org/C179717631","wikidata":"https://www.wikidata.org/wiki/Q2991667","display_name":"Multilayer perceptron","level":3,"score":0.569170355796814},{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.5110164880752563},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15404626727104187},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.09346714615821838}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474124.3474125","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474124.3474125","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 Thirteenth International Conference on Contemporary Computing (IC3-2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W181561750","https://openalex.org/W1576442155","https://openalex.org/W1966748751","https://openalex.org/W1987776395","https://openalex.org/W1993220166","https://openalex.org/W2017257315","https://openalex.org/W2070772907","https://openalex.org/W2079359777","https://openalex.org/W2111547563","https://openalex.org/W2148143831","https://openalex.org/W2162923066","https://openalex.org/W2681824506","https://openalex.org/W2741994031","https://openalex.org/W2766296277","https://openalex.org/W2767969013","https://openalex.org/W2768132193","https://openalex.org/W2790383489","https://openalex.org/W2800002784","https://openalex.org/W2854020365","https://openalex.org/W2889227979","https://openalex.org/W2895926103","https://openalex.org/W2896644604","https://openalex.org/W2902078718","https://openalex.org/W2908465383","https://openalex.org/W2918677731","https://openalex.org/W2921338250","https://openalex.org/W2963920537","https://openalex.org/W3093906405","https://openalex.org/W3101285135","https://openalex.org/W3133575890","https://openalex.org/W3159066252","https://openalex.org/W4239931965","https://openalex.org/W4240252876","https://openalex.org/W6685016619","https://openalex.org/W6766181635","https://openalex.org/W6784516366"],"related_works":["https://openalex.org/W2076543106","https://openalex.org/W3158157485","https://openalex.org/W2243550366","https://openalex.org/W2019891950","https://openalex.org/W2085842814","https://openalex.org/W2523437662","https://openalex.org/W3000407446","https://openalex.org/W4387048144","https://openalex.org/W4280611221","https://openalex.org/W2492135063"],"abstract_inverted_index":{"Prostate":[0],"malignancy":[1],"is":[2,28],"one":[3],"of":[4,11,20,25,33,51,66,75,101,121,164,175],"the":[5,17,31,49,64,73,99,119,132,137,143,162,169,173],"most":[6],"common":[7],"malignancies.":[8],"Early":[9],"prediction":[10,112],"a":[12,60,89],"cancer":[13,21,26,43,67,86,106],"diagnosis":[14,163],"can":[15,159],"upsurge":[16],"endurance":[18],"rate":[19],"patients.":[22],"The":[23,69,114,128],"advancement":[24],"research":[27,96],"boosted":[29],"with":[30],"advent":[32],"artificial":[34,153],"intelligence.":[35],"Researchers":[36],"have":[37,83],"developed":[38],"programmes":[39],"to":[40,48,78,140,149],"aid":[41],"in":[42,63,179],"detection":[44],"and":[45,108],"prognosis":[46,107],"due":[47],"availability":[50],"open-source":[52],"healthcare":[53],"statistics.":[54],"Machine":[55],"Learning":[56],"(ML)":[57],"algorithms":[58],"play":[59],"vital":[61],"role":[62],"field":[65],"prognosis.":[68],"current":[70],"study":[71,115,147],"highlights":[72],"applications":[74,100],"neural":[76,102,154],"networks":[77],"predict":[79,161],"prostate":[80,85,165],"cancer.":[81,166],"We":[82],"accessed":[84],"records":[87],"from":[88,134],"publically":[90],"accessible":[91],"data":[92,139,176],"repository":[93],"(Kaggle).":[94],"Current":[95],"work":[97],"stresses":[98,117],"learning":[103],"approach":[104],"for":[105],"attaining":[109],"more":[110],"accurate":[111],"outcomes.":[113],"also":[116],"on":[118,125,136,142],"impact":[120],"different":[122],"balancing":[123,177],"techniques":[124,178],"imbalanced":[126,138],"data.":[127],"proposed":[129],"method":[130],"enhanced":[131],"accurateness":[133],"72%":[135],"97%":[141],"oversampled":[144],"dataset.":[145],"This":[146],"aims":[148],"determine":[150],"whether":[151],"an":[152],"network":[155],"(multilayer":[156],"perceptron,":[157],"MLP)":[158],"accurately":[160],"In":[167],"addition,":[168],"experimental":[170],"results":[171],"confirm":[172],"necessity":[174],"classification.":[180]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":3}],"updated_date":"2026-05-12T08:28:47.272897","created_date":"2025-10-10T00:00:00"}