{"id":"https://openalex.org/W4312299968","doi":"https://doi.org/10.1109/icccnt54827.2022.9984486","title":"Classification of Healthcare Data Using T-BMSVM in Big Data","display_name":"Classification of Healthcare Data Using T-BMSVM in Big Data","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4312299968","doi":"https://doi.org/10.1109/icccnt54827.2022.9984486"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt54827.2022.9984486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984486","pdf_url":null,"source":{"id":"https://openalex.org/S4363607876","display_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th 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/A5055581809","display_name":"R Sujitha","orcid":null},"institutions":[{"id":"https://openalex.org/I4210109528","display_name":"PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH","ror":"https://ror.org/01sa9ng67","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210109528"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Sujitha","raw_affiliation_strings":["PSNA College of Engineering and Technology,Department of Computer Science and Engineering,India","Department of Computer Science and Engineering, PSNA College of Engineering and Technology, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"PSNA College of Engineering and Technology,Department of Computer Science and Engineering,India","institution_ids":["https://openalex.org/I4210109528"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, PSNA College of Engineering and Technology, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032261966","display_name":"B. Paramasivan","orcid":null},"institutions":[{"id":"https://openalex.org/I4210137755","display_name":"National College","ror":"https://ror.org/03wj61f53","country_code":"MX","type":"education","lineage":["https://openalex.org/I4210137755"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"B. Paramasivan","raw_affiliation_strings":["National Engineering College (Autonomous),Department of Information Technology,India","Department of Information Technology, National Engineering College (Autonomous), India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Engineering College (Autonomous),Department of Information Technology,India","institution_ids":["https://openalex.org/I4210137755"]},{"raw_affiliation_string":"Department of Information Technology, National Engineering College (Autonomous), India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"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":0.14683276,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"5","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9929999709129333,"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/T10862","display_name":"AI in cancer detection","score":0.9929999709129333,"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":0.9872000217437744,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9861999750137329,"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/support-vector-machine","display_name":"Support vector machine","score":0.8613255620002747},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7138177156448364},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.6437263488769531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6399883031845093},{"id":"https://openalex.org/keywords/spark","display_name":"SPARK (programming language)","score":0.6076368093490601},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5187285542488098},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.5128927230834961},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4837051033973694},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.45377546548843384},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.43321770429611206},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4253087043762207},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3575940430164337},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.32927292585372925},{"id":"https://openalex.org/keywords/database","display_name":"Database","score":0.18573302030563354},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.0847092866897583}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.8613255620002747},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7138177156448364},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.6437263488769531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6399883031845093},{"id":"https://openalex.org/C2781215313","wikidata":"https://www.wikidata.org/wiki/Q3493345","display_name":"SPARK (programming language)","level":2,"score":0.6076368093490601},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5187285542488098},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5128927230834961},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4837051033973694},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.45377546548843384},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.43321770429611206},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4253087043762207},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3575940430164337},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.32927292585372925},{"id":"https://openalex.org/C77088390","wikidata":"https://www.wikidata.org/wiki/Q8513","display_name":"Database","level":1,"score":0.18573302030563354},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0847092866897583},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt54827.2022.9984486","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984486","pdf_url":null,"source":{"id":"https://openalex.org/S4363607876","display_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 13th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1981766419","https://openalex.org/W1981883771","https://openalex.org/W2155487617","https://openalex.org/W2342295631","https://openalex.org/W2344887191","https://openalex.org/W2537675719","https://openalex.org/W2758771713","https://openalex.org/W2791187255","https://openalex.org/W2800017313","https://openalex.org/W2802444330","https://openalex.org/W2808601429","https://openalex.org/W2810094411","https://openalex.org/W2889482216","https://openalex.org/W2892743949","https://openalex.org/W2902930318","https://openalex.org/W2903150666","https://openalex.org/W2903232884","https://openalex.org/W2940487144","https://openalex.org/W2981534530","https://openalex.org/W2997919088","https://openalex.org/W3011387630","https://openalex.org/W3100355572","https://openalex.org/W4362703743","https://openalex.org/W6754369519"],"related_works":["https://openalex.org/W2766461310","https://openalex.org/W4247566972","https://openalex.org/W4388692845","https://openalex.org/W3202731209","https://openalex.org/W3211874991","https://openalex.org/W2747895175","https://openalex.org/W2614669534","https://openalex.org/W2104406636","https://openalex.org/W2123014508","https://openalex.org/W2105512057"],"abstract_inverted_index":{"With":[0],"the":[1,34,97,102,134,146],"fast":[2],"pace":[3],"in":[4,96,105],"collating":[5],"big":[6],"data":[7,90],"healthcare":[8],"framework,":[9],"a":[10,40,129],"streamlining":[11],"of":[12,26,30,42,89,99,136,149],"machine":[13],"learning":[14],"algorithms":[15],"together":[16],"with":[17,48,58,62,110,121],"apache":[18],"spark":[19],"has":[20],"been":[21],"designed":[22],"for":[23,83],"effective":[24],"classification":[25,44,55,100,118,151],"images":[27,95],"and":[28,53,74,85,140],"stages":[29,135],"lung":[31],"cancer":[32],"to":[33,66,132,144],"greatest":[35],"extent.":[36],"We":[37,80],"experiment":[38],"on":[39],"combination":[41],"binary":[43],"(SVM-non":[45],"linear":[46],"SVM":[47],"Radial":[49],"Basis":[50],"Function":[51],"RBF)":[52],"Multi-class":[54,122],"(WTA-SVM":[56],"winner-takes-all":[57],"support":[59],"vector":[60],"machine)":[61],"threshold":[63],"technique":[64],"(T-BMSVM)":[65],"classify":[67],"nodules":[68,73],"into":[69],"malignant":[70],"or":[71],"benign":[72],"also":[75],"their":[76],"malignancy":[77],"levels":[78],"respectively.":[79],"have":[81],"argued":[82],"handling":[84],"processing":[86],"large":[87],"sizes":[88],"sets":[91],"as":[92,128],"sputum":[93],"cell":[94],"field":[98],"using":[101],"map-reduce":[103],"framework":[104],"Pyspark,":[106],"which":[107],"works":[108,119],"better":[109,120],"Apache":[111],"spark.":[112],"The":[113],"outsourced":[114],"outcomes":[115],"reveal":[116],"that":[117],"SVM,":[123],"therefore,":[124],"may":[125],"be":[126],"considered":[127],"promising":[130],"tool":[131],"diagnose":[133],"nodules.":[137],"Also,":[138],"Scalability":[139],"convergence":[141],"analysis":[142],"embed":[143],"prove":[145],"improving":[147],"results":[148],"multi-class":[150],"than":[152],"SVM.":[153]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}