{"id":"https://openalex.org/W2981990504","doi":"https://doi.org/10.1109/icscan.2019.8878793","title":"Recurrence and Non-Recurrence Prediction of Uterus Cancer Using Big Data","display_name":"Recurrence and Non-Recurrence Prediction of Uterus Cancer Using Big Data","publication_year":2019,"publication_date":"2019-03-01","ids":{"openalex":"https://openalex.org/W2981990504","doi":"https://doi.org/10.1109/icscan.2019.8878793","mag":"2981990504"},"language":"en","primary_location":{"id":"doi:10.1109/icscan.2019.8878793","doi":"https://doi.org/10.1109/icscan.2019.8878793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icscan.2019.8878793","pdf_url":null,"source":{"id":"https://openalex.org/S4306498854","display_name":"International Conference on System, Computation, Automation and Networking (ICSCAN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","raw_type":"proceedings-article"},"parent_works":[],"lineage":["https://openalex.org/W2981990504"],"child_works_count":0,"type":"conference-paper","is_traditional":true,"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/A5017861781","display_name":"N. Malarvizhi","orcid":"https://orcid.org/0000-0003-1869-9836","observed_orcids":["https://orcid.org/0000-0003-1869-9836"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Malarvizhi. N.","raw_affiliation_strings":["Department of CSE, IFET College of Engineering, Villupuram, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, IFET College of Engineering, Villupuram, Tamil Nadu, India","institution_ids":[]}]},{"author_position":"last","author":{"id":null,"display_name":"Dhanya. S.","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dhanya. S.","raw_affiliation_strings":["Department of CSE, IFET College of Engineering, Villupuram, Tamil Nadu, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of CSE, IFET College of Engineering, Villupuram, Tamil Nadu, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"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":"59","issue":null,"first_page":"1","last_page":"3"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9897000193595886,"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":0.9897000193595886,"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":0.007199999876320362,"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":0.0013000000035390258,"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/uterine-cancer","display_name":"uterine cancer","score":0.9810000061988831},{"id":"https://openalex.org/keywords/cancer-recurrence-prediction","display_name":"tumor recurrence prediction","score":0.9779999852180481},{"id":"https://openalex.org/keywords/hidden-markov-models","display_name":"hidden Markov models","score":0.8579999804496765},{"id":"https://openalex.org/keywords/neural-network","display_name":"artificial neural networks","score":0.8339999914169312},{"id":"https://openalex.org/keywords/linear-filtering","display_name":"linear filtering","score":0.9079999923706055},{"id":"https://openalex.org/keywords/electronic-health-records","display_name":"electronic health records","score":0.7480000257492065},{"id":"https://openalex.org/keywords/big-data","display_name":"big data","score":0.7379999756813049},{"id":"https://openalex.org/keywords/women-s-health","display_name":"women's health","score":0.5370000004768372}],"concepts":[{"id":"https://openalex.org/C121608353","wikidata":"https://www.wikidata.org/wiki/Q12078","display_name":"Cancer","level":2,"score":0.6153357625007629},{"id":"https://openalex.org/C2991678472","wikidata":"https://www.wikidata.org/wiki/Q108872574","display_name":"Cancer recurrence","level":3,"score":0.5784560441970825},{"id":"https://openalex.org/C112758219","wikidata":"https://www.wikidata.org/wiki/Q16038819","display_name":"Duration (music)","level":2,"score":0.5047827959060669},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.498934268951416},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4953140318393707},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4728665053844452},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.455616295337677},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.4299094080924988},{"id":"https://openalex.org/C98763669","wikidata":"https://www.wikidata.org/wiki/Q176645","display_name":"Markov chain","level":2,"score":0.4284136891365051},{"id":"https://openalex.org/C2779066055","wikidata":"https://www.wikidata.org/wiki/Q9612","display_name":"Uterus","level":2,"score":0.426271915435791},{"id":"https://openalex.org/C163836022","wikidata":"https://www.wikidata.org/wiki/Q6771326","display_name":"Markov model","level":3,"score":0.4257700741291046},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3736861050128937},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.27392345666885376},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25693121552467346},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.19697928428649902},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.09716454148292542},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icscan.2019.8878793","doi":"https://doi.org/10.1109/icscan.2019.8878793","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icscan.2019.8878793","pdf_url":null,"source":{"id":"https://openalex.org/S4306498854","display_name":"International Conference on System, Computation, Automation and Networking (ICSCAN)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE International Conference on System, Computation, Automation and Networking (ICSCAN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9922999739646912,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W289879458","https://openalex.org/W2167632090","https://openalex.org/W2438165237","https://openalex.org/W2559777030","https://openalex.org/W2593324933","https://openalex.org/W2604350108","https://openalex.org/W2795036126"],"related_works":["https://openalex.org/W4312879751","https://openalex.org/W1494675004","https://openalex.org/W219623051","https://openalex.org/W4283770753","https://openalex.org/W3134213786","https://openalex.org/W2989916765","https://openalex.org/W3172132039","https://openalex.org/W4414649433","https://openalex.org/W4387745927","https://openalex.org/W4293569905"],"abstract_inverted_index":{"Women":[0],"now":[1],"a":[2],"days":[3],"at":[4],"their":[5,102],"teen":[6],"age":[7],"they":[8,21,92,139],"do":[9,94],"endure":[10],"the":[11,17,25,28,34,40,44,47,55,61,65,69,74,80,87,97,109,112,120,126,129,132,150,153,159,168,174],"pain":[12,26],"of":[13,27,36,46,60,76,125,131,141,152,158,173],"taking":[14],"treatment":[15,103],"for":[16,39,86,101],"cancer":[18,41,67,161],"in":[19,30,68,105],"which":[20],"are":[22,140],"equal":[23],"to":[24,32,99,107,118],"death":[29,77],"order":[31,106],"avoid":[33,73],"fear":[35],"being":[37],"treated":[38,85],"disease":[42],"with":[43,128,149],"help":[45,108,130],"existing":[48],"data":[49],"mining":[50],"algorithm":[51,134],"we":[52,71,135],"can":[53,72,136],"predict":[54,119,137],"occurrence":[56,121],"and":[57,79,111,122],"non-occurrence":[58,123],"duration":[59,124],"patient":[62,127],"by":[63,166],"envisaging":[64],"uterus":[66,160],"women":[70],"number":[75],"rate":[78],"patients":[81],"who":[82],"have":[83,96],"been":[84],"cancer.":[88],"However":[89],"many":[90],"people":[91,114],"even":[93],"not":[95],"money":[98],"afford":[100],"so":[104],"poor":[110],"wealthy":[113],"this":[115],"paper":[116],"aims":[117],"following":[133],"them":[138],"hidden":[142],"markov":[143],"model,":[144],"neural":[145],"network,":[146],"linear":[147],"filtering":[148],"support":[151],"big":[154],"data.":[155],"The":[156],"prediction":[157],"recurrence":[162],"period":[163],"is":[164],"done":[165],"analyzing":[167],"image":[169],"format":[170],"health":[171],"records":[172],"patient.":[175]},"counts_by_year":[],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2019-11-01T00:00:00"}