{"id":"https://openalex.org/W2972390400","doi":"https://doi.org/10.26438/ijcse/v7i5.861866","title":"Prediction of Heart Disease by Clustering and Classification Techniques","display_name":"Prediction of Heart Disease by Clustering and Classification Techniques","publication_year":2019,"publication_date":"2019-05-31","ids":{"openalex":"https://openalex.org/W2972390400","doi":"https://doi.org/10.26438/ijcse/v7i5.861866","mag":"2972390400"},"language":"en","primary_location":{"id":"doi:10.26438/ijcse/v7i5.861866","doi":"https://doi.org/10.26438/ijcse/v7i5.861866","is_oa":true,"landing_page_url":"https://doi.org/10.26438/ijcse/v7i5.861866","pdf_url":"http://www.isroset.org/pub_paper/139-IJCSE-06937.pdf","source":{"id":"https://openalex.org/S4210169770","display_name":"International Journal of Computer Sciences and Engineering","issn_l":"2347-2693","issn":["2347-2693"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323862652","host_organization_name":"ISROSET","host_organization_lineage":["https://openalex.org/P4323862652"],"host_organization_lineage_names":["ISROSET"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Sciences and Engineering","raw_type":"journal-article"},"parent_works":[],"lineage":["https://openalex.org/W2972390400"],"child_works_count":0,"type":"article","is_traditional":true,"indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"http://www.isroset.org/pub_paper/139-IJCSE-06937.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5065898625","display_name":"Reetu Singh","orcid":"https://orcid.org/0000-0002-5640-1669","observed_orcids":["https://orcid.org/0000-0002-5640-1669"]},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Reetu Singh","raw_affiliation_strings":["Department of Computing Science and Engineering , Galgotias University , Greater Noida , India","Department of Computing Science and Engineering, Galgotias University, Greater Noida, India (India)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science and Engineering , Galgotias University , Greater Noida , India","institution_ids":["https://openalex.org/I155125381"]},{"raw_affiliation_string":"Department of Computing Science and Engineering, Galgotias University, Greater Noida, India (India)","institution_ids":["https://openalex.org/I155125381"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042864901","display_name":"E. Rajesh","orcid":"https://orcid.org/0000-0002-9738-2484","observed_orcids":["https://orcid.org/0000-0002-9738-2484"]},"institutions":[{"id":"https://openalex.org/I155125381","display_name":"Galgotias University","ror":"https://ror.org/02w8ba206","country_code":"IN","type":"education","lineage":["https://openalex.org/I155125381"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"E. Rajesh","raw_affiliation_strings":["Department of Computing Science and Engineering, Galgotias University, Greater Noida, India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computing Science and Engineering, Galgotias University, Greater Noida, India","institution_ids":["https://openalex.org/I155125381"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I155125381"],"apc_list":null,"apc_paid":null,"fwci":3.1976,"has_fulltext":true,"cited_by_count":35,"citation_normalized_percentile":{"value":0.91851599,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":88,"max":99},"biblio":{"volume":"7","issue":"5","first_page":"861","last_page":"866"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9965999722480774,"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":0.9965999722480774,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.003000000026077032,"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"}},{"id":"https://openalex.org/T10637","display_name":"Advanced Clustering Algorithms Research","score":0.00019999999494757503,"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/heart-disease-prediction","display_name":"heart disease prediction","score":0.9990000128746033},{"id":"https://openalex.org/keywords/k-means-clustering","display_name":"K-means clustering","score":0.9599999785423279},{"id":"https://openalex.org/keywords/classification","display_name":"classification","score":0.7799999713897705},{"id":"https://openalex.org/keywords/logistic-regression","display_name":"logistic regression","score":0.8759999871253967},{"id":"https://openalex.org/keywords/data-preprocessing","display_name":"data preprocessing","score":0.6830000281333923},{"id":"https://openalex.org/keywords/normalization","display_name":"normalization","score":0.9240000247955322},{"id":"https://openalex.org/keywords/euclidean-distance","display_name":"Euclidean distance","score":0.7710000276565552},{"id":"https://openalex.org/keywords/initial-centroid-selection","display_name":"initial centroid selection","score":0.6600000262260437},{"id":"https://openalex.org/keywords/medical-data-mining","display_name":"medical data mining","score":0.45500001311302185},{"id":"https://openalex.org/keywords/classifier-comparison","display_name":"classifier comparison","score":0.48100000619888306}],"concepts":[{"id":"https://openalex.org/C41458344","wikidata":"https://www.wikidata.org/wiki/Q732577","display_name":"Publication","level":2,"score":0.6998867988586426},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.6018186807632446},{"id":"https://openalex.org/C151719136","wikidata":"https://www.wikidata.org/wiki/Q3972943","display_name":"Publishing","level":2,"score":0.5904856324195862},{"id":"https://openalex.org/C101780184","wikidata":"https://www.wikidata.org/wiki/Q840576","display_name":"Dissemination","level":2,"score":0.5223713517189026},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.48709678649902344},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.4754205048084259},{"id":"https://openalex.org/C513874922","wikidata":"https://www.wikidata.org/wiki/Q212805","display_name":"Digital library","level":3,"score":0.45864158868789673},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4574510455131531},{"id":"https://openalex.org/C178315738","wikidata":"https://www.wikidata.org/wiki/Q603441","display_name":"Bibliometrics","level":2,"score":0.422555148601532},{"id":"https://openalex.org/C161191863","wikidata":"https://www.wikidata.org/wiki/Q199655","display_name":"Library science","level":1,"score":0.3971303105354309},{"id":"https://openalex.org/C55587333","wikidata":"https://www.wikidata.org/wiki/Q1133029","display_name":"Engineering ethics","level":1,"score":0.36763980984687805},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.3613828122615814},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.1846606433391571},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12128227949142456},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09938907623291016},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.0},{"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/C164913051","wikidata":"https://www.wikidata.org/wiki/Q482","display_name":"Poetry","level":2,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.26438/ijcse/v7i5.861866","doi":"https://doi.org/10.26438/ijcse/v7i5.861866","is_oa":true,"landing_page_url":"https://doi.org/10.26438/ijcse/v7i5.861866","pdf_url":"http://www.isroset.org/pub_paper/139-IJCSE-06937.pdf","source":{"id":"https://openalex.org/S4210169770","display_name":"International Journal of Computer Sciences and Engineering","issn_l":"2347-2693","issn":["2347-2693"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323862652","host_organization_name":"ISROSET","host_organization_lineage":["https://openalex.org/P4323862652"],"host_organization_lineage_names":["ISROSET"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Sciences and Engineering","raw_type":"journal-article"},{"id":"pmh:oai:oai.ijcseonline.org:article/5323","doi":null,"is_oa":true,"landing_page_url":"https://ijcseonline.org/index.php/j/article/view/5323","pdf_url":"https://ijcseonline.org/index.php/j/article/download/5323/5307","source":{"id":"https://openalex.org/S4210169770","display_name":"International Journal of Computer Sciences and Engineering","issn_l":"2347-2693","issn":["2347-2693"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323862652","host_organization_name":"ISROSET","host_organization_lineage":["https://openalex.org/P4323862652"],"host_organization_lineage_names":["ISROSET"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2347-2693","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:HAL:hal-02161535v1","doi":null,"is_oa":true,"landing_page_url":"https://hal.science/hal-02161535","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I4405252976","host_organization_name":"Centre pour la Communication Scientifique Directe","host_organization_lineage":["https://openalex.org/I4405252976"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"International Journal of Computer Sciences and Engineering, 2019, ⟨10.26438/ijcse/v7i5.861866⟩","raw_type":"info:eu-repo/semantics/article"},{"id":"mag:2952010710","doi":null,"is_oa":false,"landing_page_url":"https://hal.archives-ouvertes.fr/hal-02161535","pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"doi:10.26438/ijcse/v7i5.861866","doi":"https://doi.org/10.26438/ijcse/v7i5.861866","is_oa":true,"landing_page_url":"https://doi.org/10.26438/ijcse/v7i5.861866","pdf_url":"http://www.isroset.org/pub_paper/139-IJCSE-06937.pdf","source":{"id":"https://openalex.org/S4210169770","display_name":"International Journal of Computer Sciences and Engineering","issn_l":"2347-2693","issn":["2347-2693"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/P4323862652","host_organization_name":"ISROSET","host_organization_lineage":["https://openalex.org/P4323862652"],"host_organization_lineage_names":["ISROSET"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Computer Sciences and Engineering","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.9763000011444092,"display_name":"Good health and well-being"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2972390400.pdf","grobid_xml":"https://content.openalex.org/works/W2972390400.grobid-xml"},"referenced_works_count":27,"referenced_works":["https://openalex.org/W208128215","https://openalex.org/W1570448133","https://openalex.org/W2020176002","https://openalex.org/W2020643828","https://openalex.org/W2023556043","https://openalex.org/W2036190841","https://openalex.org/W2057923756","https://openalex.org/W2066732431","https://openalex.org/W2078824636","https://openalex.org/W2106728628","https://openalex.org/W2140190241","https://openalex.org/W2331217855","https://openalex.org/W2530017723","https://openalex.org/W2535423247","https://openalex.org/W2545371501","https://openalex.org/W2559976729","https://openalex.org/W2599545132","https://openalex.org/W2603612084","https://openalex.org/W2612801070","https://openalex.org/W2626985817","https://openalex.org/W2654097460","https://openalex.org/W2765378731","https://openalex.org/W2772465132","https://openalex.org/W2789638108","https://openalex.org/W3166079209","https://openalex.org/W4252348620","https://openalex.org/W4254513478"],"related_works":["https://openalex.org/W4251957845","https://openalex.org/W3016033536","https://openalex.org/W4400212222","https://openalex.org/W2726205467","https://openalex.org/W3158363245","https://openalex.org/W4289553444","https://openalex.org/W3005786739","https://openalex.org/W2337994551","https://openalex.org/W4235453712"],"abstract_inverted_index":{"Every":[0],"year":[1],"19":[2],"million":[3],"people":[4],"approximately":[5],"die":[6],"from":[7,44],"heart":[8,11,26],"disease":[9,27,33],"worldwide.A":[10],"patient":[12],"shows":[13],"several":[14],"symptoms":[15],"and":[16,85,103,107,129,147],"it":[17],"is":[18,80,160,164],"very":[19],"tough":[20],"to":[21,24,39,50,63,66,132,151,166,192,227],"attribute":[22],"them":[23],"the":[25,45,68,73,76,78,95,111,117,120,124,134,140,153,157,168,187,195,204,213],"in":[28,53,58,123,178,212,220],"so":[29],"many":[30],"steps":[31],"of":[32,75,97,119,126,142,155,182,215,222],"progression.Data":[34],"mining,":[35],"as":[36,190],"an":[37],"answer":[38],"extract":[40],"a":[41,51,161,179],"hidden":[42],"pattern":[43],"clinical":[46],"dataset,":[47],"are":[48,61,92,105,138,149,197],"applied":[49],"database":[52],"this":[54],"analysis.All":[55],"available":[56],"algorithms":[57],"classification":[59,223],"technique":[60],"compared":[62,191,226],"each":[64],"other":[65],"achieve":[67],"highest":[69],"accuracy.To":[70],"further":[71],"increase":[72],"correctness":[74],"solution,":[77],"dataset":[79],"preprocessed":[81],"by":[82,171,202,207],"different":[83],"unsupervised":[84],"supervised":[86],"algorithms.The":[87],"two":[88],"important":[89],"tasks":[90],"which":[91,159,176,184],"needed":[93],"for":[94],"development":[96],"classifier":[98,216],"come":[99],"under":[100],"data":[101,205],"mining":[102],"they":[104],"clustering":[106,110,136,228],"classification.In":[108],"K-means":[109],"initial":[112],"point":[113],"selection":[114],"effects":[115],"on":[116],"results":[118,224],"algorithm,":[121],"both":[122],"number":[125,181],"clusters":[127,156],"found":[128],"their":[130],"centroids.Methods":[131],"enhance":[133,167],"k-means":[135,193],"algorithm":[137],"discussed.With":[139],"help":[141],"these":[143],"methods":[144],"efficiency,":[145],"accuracy":[146],"performance":[148,154],"improved.So,":[150],"improve":[152],"Normalization":[158],"preprocessing":[162],"stage":[163],"used":[165],"Euclidean":[169],"distance":[170],"calculating":[172],"more":[173],"nearer":[174],"centers,":[175],"result":[177],"reduced":[180],"iterations":[183],"will":[185],"reduce":[186],"computational":[188],"time":[189],"clustering.Finally,":[194],"classifiers":[196],"developed":[198],"with":[199],"Logistic":[200],"regression":[201],"using":[203],"extracted":[206],"K-Means":[208],"Clustering.The":[209],"techniques":[210],"adopted":[211],"design":[214],"perform":[217],"relatively":[218],"well":[219],"terms":[221],"better":[225],"techniques.":[229]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":1}],"updated_date":"2026-11-14T11:04:58.165337","created_date":"2019-09-19T00:00:00"}