{"id":"https://openalex.org/W4313158877","doi":"https://doi.org/10.1109/icccnt54827.2022.9984555","title":"Prediction of Heart Disease Using an Approach Based on Machine Learning","display_name":"Prediction of Heart Disease Using an Approach Based on Machine Learning","publication_year":2022,"publication_date":"2022-10-03","ids":{"openalex":"https://openalex.org/W4313158877","doi":"https://doi.org/10.1109/icccnt54827.2022.9984555"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt54827.2022.9984555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984555","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/A5068930183","display_name":"Animesh Kumar Basak","orcid":"https://orcid.org/0000-0003-2301-4758"},"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":"Animesh Basak","raw_affiliation_strings":["Daffodil International University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057624857","display_name":"Md. Solaimanur Rahman","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":"Md. Solaimanur Rahman","raw_affiliation_strings":["Daffodil International University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5026021683","display_name":"Mushfiqur Rahman","orcid":"https://orcid.org/0000-0003-2350-8707"},"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":"Mushfiqur Rahman","raw_affiliation_strings":["Daffodil International University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh"],"affiliations":[{"raw_affiliation_string":"Daffodil International University,Dept. of Computer Science & Engineering,Dhaka,Bangladesh","institution_ids":["https://openalex.org/I200606013"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5068930183"],"corresponding_institution_ids":["https://openalex.org/I200606013"],"apc_list":null,"apc_paid":null,"fwci":2.0768,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.87484036,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9993000030517578,"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":0.9993000030517578,"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/T13690","display_name":"Quality and Safety in Healthcare","score":0.92330002784729,"subfield":{"id":"https://openalex.org/subfields/3607","display_name":"Medical Laboratory Technology"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7855532169342041},{"id":"https://openalex.org/keywords/random-forest","display_name":"Random forest","score":0.7701035141944885},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7538607716560364},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.7116493582725525},{"id":"https://openalex.org/keywords/naive-bayes-classifier","display_name":"Naive Bayes classifier","score":0.6598232984542847},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5919137597084045},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.46770355105400085},{"id":"https://openalex.org/keywords/bayes-theorem","display_name":"Bayes' theorem","score":0.4371858239173889},{"id":"https://openalex.org/keywords/statement","display_name":"Statement (logic)","score":0.42200767993927},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4076002836227417},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.1126263439655304},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07085368037223816}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7855532169342041},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.7701035141944885},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7538607716560364},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.7116493582725525},{"id":"https://openalex.org/C52001869","wikidata":"https://www.wikidata.org/wiki/Q812530","display_name":"Naive Bayes classifier","level":3,"score":0.6598232984542847},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5919137597084045},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.46770355105400085},{"id":"https://openalex.org/C207201462","wikidata":"https://www.wikidata.org/wiki/Q182505","display_name":"Bayes' theorem","level":3,"score":0.4371858239173889},{"id":"https://openalex.org/C2777026412","wikidata":"https://www.wikidata.org/wiki/Q2684591","display_name":"Statement (logic)","level":2,"score":0.42200767993927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4076002836227417},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.1126263439655304},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07085368037223816},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt54827.2022.9984555","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt54827.2022.9984555","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":[{"score":0.6000000238418579,"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":14,"referenced_works":["https://openalex.org/W2485540933","https://openalex.org/W2801105167","https://openalex.org/W2891207990","https://openalex.org/W2914956382","https://openalex.org/W2915269621","https://openalex.org/W2941615534","https://openalex.org/W2941826184","https://openalex.org/W3037622357","https://openalex.org/W3091262047","https://openalex.org/W3134840015","https://openalex.org/W3152721692","https://openalex.org/W3174617586","https://openalex.org/W4229830609","https://openalex.org/W6687101513"],"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":{"Heart":[0],"disease":[1],"is":[2],"one":[3],"of":[4,12,16,30,73],"the":[5,13,28,66,83,96,102],"most":[6,67,97],"consequential":[7],"illnesses":[8],"currently":[9],"understood.":[10],"Because":[11],"widespread":[14],"dissemination":[15],"information,":[17],"numerous":[18],"techniques":[19,93],"and":[20,61],"algorithms":[21,78],"have":[22],"been":[23],"developed":[24],"to":[25,94,100],"better":[26],"predict":[27],"prognosis":[29],"patients":[31],"with":[32,70],"cardiac":[33],"disease.":[34],"Using":[35],"a":[36],"dataset":[37],"provided":[38],"by":[39,51],"Kaggle,":[40],"this":[41],"paper":[42],"describes":[43],"13":[44],"crucial":[45],"processes.":[46],"This":[47,87],"work":[48],"was":[49],"done":[50],"Support":[52],"Vector":[53],"Machine":[54],"(SVM),":[55],"K-Nearest":[56],"Neighbor":[57],"(KNN),":[58],"Na\u00efve":[59],"Bayes,":[60],"Random":[62],"Forest,":[63],"which":[64],"produced":[65],"accurate":[68],"findings":[69],"an":[71],"accuracy":[72],"93%.":[74],"Everyone\u2019s":[75],"comparative":[76],"statement":[77],"are":[79],"also":[80,89],"presented":[81],"in":[82],"implementation":[84],"section":[85],"paper.":[86],"study":[88],"uses":[90],"model":[91,99],"validation":[92],"design":[95],"appropriate":[98],"fit":[101],"current":[103],"situation.":[104]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":5}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}