{"id":"https://openalex.org/W3210812214","doi":"https://doi.org/10.1109/icccnt51525.2021.9579825","title":"Data Mining Technique for Prediction System of Heart Disease Using Associative Classifications","display_name":"Data Mining Technique for Prediction System of Heart Disease Using Associative Classifications","publication_year":2021,"publication_date":"2021-07-06","ids":{"openalex":"https://openalex.org/W3210812214","doi":"https://doi.org/10.1109/icccnt51525.2021.9579825","mag":"3210812214"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt51525.2021.9579825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th 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/A5008005879","display_name":"Md. Sadeki Salman","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Md. Sadeki Salman","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077086560","display_name":"Nazmun Naher Shila","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Nazmun Naher Shila","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032501418","display_name":"Khalid Hasan","orcid":"https://orcid.org/0000-0001-5012-4712"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Khalid Hasan","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076869232","display_name":"Piash Ahmed","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Piash Ahmed","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012807511","display_name":"Mumenunnessa Keya","orcid":null},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Mumenunnessa Keya","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052865748","display_name":"Sharun Akter Khushbu","orcid":"https://orcid.org/0000-0002-8900-8580"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sharun Akter Khushbu","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026451933","display_name":"Sheak Rashed Haider Noori","orcid":"https://orcid.org/0000-0001-6937-6039"},"institutions":[{"id":"https://openalex.org/I200606013","display_name":"Daffodil International University","ror":"https://ror.org/052t4a858","country_code":"BD","type":"education","lineage":["https://openalex.org/I200606013"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sheak Rashed Haider Noori","raw_affiliation_strings":["Daffodil International University,Dept. of CSE,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of CSE,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5008005879"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":1.5175,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.87353946,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9984999895095825,"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":0.9984999895095825,"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":0.9448000192642212,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9174000024795532,"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":0.5939887762069702},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"Logistic regression","score":0.5939071774482727},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5802602767944336},{"id":"https://openalex.org/keywords/mindset","display_name":"Mindset","score":0.5320348143577576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4958253800868988},{"id":"https://openalex.org/keywords/cirrhosis","display_name":"Cirrhosis","score":0.4518910050392151},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.4238434135913849},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3083627223968506},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.24155333638191223},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.12421637773513794},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.11867156624794006}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5939887762069702},{"id":"https://openalex.org/C151956035","wikidata":"https://www.wikidata.org/wiki/Q1132755","display_name":"Logistic regression","level":2,"score":0.5939071774482727},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5802602767944336},{"id":"https://openalex.org/C2778491294","wikidata":"https://www.wikidata.org/wiki/Q1339824","display_name":"Mindset","level":2,"score":0.5320348143577576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4958253800868988},{"id":"https://openalex.org/C2777214474","wikidata":"https://www.wikidata.org/wiki/Q147778","display_name":"Cirrhosis","level":2,"score":0.4518910050392151},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.4238434135913849},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3083627223968506},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.24155333638191223},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.12421637773513794},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.11867156624794006}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt51525.2021.9579825","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt51525.2021.9579825","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 12th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8899999856948853,"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":18,"referenced_works":["https://openalex.org/W185950618","https://openalex.org/W2012545205","https://openalex.org/W2062302861","https://openalex.org/W2103069675","https://openalex.org/W2114260241","https://openalex.org/W2172197152","https://openalex.org/W2182233718","https://openalex.org/W2289299143","https://openalex.org/W2314574737","https://openalex.org/W2545952006","https://openalex.org/W2786760387","https://openalex.org/W2810889632","https://openalex.org/W3145511514","https://openalex.org/W4319156734","https://openalex.org/W6607570044","https://openalex.org/W6685910759","https://openalex.org/W6696279670","https://openalex.org/W6712770252"],"related_works":["https://openalex.org/W4281773849","https://openalex.org/W4239175313","https://openalex.org/W2908046332","https://openalex.org/W4386786145","https://openalex.org/W4232834483","https://openalex.org/W3009062738","https://openalex.org/W3192666801","https://openalex.org/W3163116104","https://openalex.org/W4389580136","https://openalex.org/W3211735916"],"abstract_inverted_index":{"In":[0],"this":[1],"study,":[2],"several":[3],"aspects":[4],"of":[5,29,37,49,94,99,103],"the":[6,34,46,62,71,96,115,125,130,137,140,149,151,161],"human":[7,25],"body":[8],"have":[9],"been":[10,77],"focused":[11],"upon.":[12],"This":[13],"paper":[14,32],"attempts":[15],"to":[16,113],"cast":[17],"light":[18],"on":[19],"pre-and":[20],"post-pathological":[21],"conditions,":[22],"man-machine":[23],"interactions,":[24],"mindset,":[26],"and":[27,41,67,82],"ethics":[28],"AI.":[30],"The":[31],"emphasizes":[33],"cultural":[35],"impacts":[36],"overeating,":[38],"profuse":[39],"drinking,":[40],"smoking":[42],"habits.":[43],"It":[44],"uplifts":[45],"basic":[47],"necessity":[48],"growing":[50],"awareness":[51],"schemes.":[52],"Patients":[53],"are":[54],"seeking":[55],"treatment":[56],"in":[57],"health":[58],"care":[59],"centers":[60],"with":[61],"following":[63],"serious":[64],"pathological":[65],"conditions":[66],"complications":[68],"(We":[69],"exclude":[70],"COVID-19":[72],"pandemic":[73],"because":[74],"it":[75,145],"has":[76],"adequately":[78],"publicized":[79],"by":[80],"media":[81],"press):":[83],"Heart":[84],"Attack,":[85],"Stroke":[86],"Cancer,":[87],"Fatty":[88],"liver":[89,91],"&":[90],"cirrhosis.":[92],"Because":[93],"being":[95],"leading":[97],"causes":[98],"sudden":[100],"death":[101],"prediction":[102],"heart":[104,131],"attack":[105],"is":[106,112],"very":[107],"important.":[108],"Our":[109],"main":[110],"focus":[111],"determine":[114],"best":[116],"machine":[117],"learning":[118],"method.":[119],"With":[120],"optimal":[121],"parameters,":[122],"we":[123],"evaluate":[124],"Dataset.":[126],"Model":[127,135,156],"Accuracy":[128],"for":[129,139,153],"Attack":[132],"Machine":[133],"Learning":[134],"was":[136,146,157,160],"highest":[138],"Logistic":[141],"Regression":[142,155],"mode":[143],"land":[144],"93.41%.":[147],"On":[148],"contrary,":[150],"accuracy":[152],"Linear":[154],"60.10%":[158],"which":[159],"least.":[162]},"counts_by_year":[{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}