{"id":"https://openalex.org/W2945721002","doi":"https://doi.org/10.1145/3318299.3318343","title":"Machine Learning Techniques for Heart Disease Datasets","display_name":"Machine Learning Techniques for Heart Disease Datasets","publication_year":2019,"publication_date":"2019-02-22","ids":{"openalex":"https://openalex.org/W2945721002","doi":"https://doi.org/10.1145/3318299.3318343","mag":"2945721002"},"language":"en","primary_location":{"id":"doi:10.1145/3318299.3318343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","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/A5050925587","display_name":"Younas Khan","orcid":"https://orcid.org/0000-0002-3764-3259"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Younas Khan","raw_affiliation_strings":["Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050012170","display_name":"Usman Qamar","orcid":"https://orcid.org/0000-0003-2361-2061"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Usman Qamar","raw_affiliation_strings":["Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027268980","display_name":"Nazish Yousaf","orcid":null},"institutions":[{"id":"https://openalex.org/I192891849","display_name":"University of Wah","ror":"https://ror.org/020we4134","country_code":"PK","type":"education","lineage":["https://openalex.org/I192891849"]},{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Nazish Yousaf","raw_affiliation_strings":["Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan and Department of Computer Sciences, University of Wah, Wah Cantt, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan and Department of Computer Sciences, University of Wah, Wah Cantt, Pakistan","institution_ids":["https://openalex.org/I192891849","https://openalex.org/I929597975"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068349526","display_name":"Aimal Khan","orcid":"https://orcid.org/0000-0001-7895-5251"},"institutions":[{"id":"https://openalex.org/I929597975","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17","country_code":"PK","type":"education","lineage":["https://openalex.org/I929597975"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Aimal Khan","raw_affiliation_strings":["Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer and Software Engineering, College of Electrical and Mechanical Engineering, National University of Sciences and Technology, Islamabad, Pakistan","institution_ids":["https://openalex.org/I929597975"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":8.5402,"has_fulltext":false,"cited_by_count":50,"citation_normalized_percentile":{"value":0.97458751,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"27","last_page":"35"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9643999934196472,"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"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9380000233650208,"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/machine-learning","display_name":"Machine learning","score":0.8090364933013916},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7276440858840942},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7163521647453308},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.7120425701141357},{"id":"https://openalex.org/keywords/heart-disease","display_name":"Heart disease","score":0.5559614896774292},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5116458535194397},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15348660945892334}],"concepts":[{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.8090364933013916},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7276440858840942},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7163521647453308},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7120425701141357},{"id":"https://openalex.org/C2780074459","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Heart disease","level":2,"score":0.5559614896774292},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5116458535194397},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15348660945892334},{"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:10.1145/3318299.3318343","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3318299.3318343","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2019 11th International Conference on Machine Learning and Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","score":0.6700000166893005,"id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320324282","display_name":"National University of Sciences and Technology","ror":"https://ror.org/03w2j5y17"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W177539302","https://openalex.org/W1130077638","https://openalex.org/W1643655047","https://openalex.org/W1975250652","https://openalex.org/W1981145348","https://openalex.org/W1992701648","https://openalex.org/W2035510150","https://openalex.org/W2072377830","https://openalex.org/W2113603414","https://openalex.org/W2160986881","https://openalex.org/W2204950599","https://openalex.org/W2205836001","https://openalex.org/W2285678238","https://openalex.org/W2290062026","https://openalex.org/W2302877473","https://openalex.org/W2505975774","https://openalex.org/W2508496315","https://openalex.org/W2514745320","https://openalex.org/W2531733772","https://openalex.org/W2532144455","https://openalex.org/W2579725890","https://openalex.org/W2585385891","https://openalex.org/W2586172422","https://openalex.org/W2616438357","https://openalex.org/W2750664433","https://openalex.org/W2753724272","https://openalex.org/W2754527560","https://openalex.org/W2755507768","https://openalex.org/W2758244442","https://openalex.org/W2766297643","https://openalex.org/W2766777146","https://openalex.org/W2773900733","https://openalex.org/W2781924583","https://openalex.org/W2782364997","https://openalex.org/W2784168210","https://openalex.org/W2808379857","https://openalex.org/W2811161392","https://openalex.org/W2894715962","https://openalex.org/W2899067514","https://openalex.org/W2900794383","https://openalex.org/W3143727907","https://openalex.org/W4250343614"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3209574120","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"Heart":[0],"Failure":[1],"(HF)":[2],"has":[3,52],"been":[4,62,96],"proven":[5],"one":[6],"of":[7,11,21,39,88],"the":[8,33,65,89,106,113,140],"leading":[9],"causes":[10],"death":[12],"that":[13,45,139],"is":[14,24,32,47,117],"why":[15],"an":[16],"accurate":[17],"and":[18,35,109,116,151],"timely":[19],"prediction":[20],"HF":[22],"risks":[23],"extremely":[25],"essential.":[26],"Clinical":[27],"methods,":[28],"for":[29,64,119],"instance,":[30],"angiography":[31],"best":[34],"most":[36,141],"effective":[37],"way":[38],"diagnosing":[40],"HF,":[41],"however,":[42],"studies":[43],"show":[44],"it":[46],"not":[48],"only":[49],"costly":[50],"but":[51],"side":[53],"effects":[54],"as":[55],"well.":[56],"Lately,":[57],"machine":[58,91,125],"learning":[59,92,126],"techniques":[60,94,144],"have":[61,95],"used":[63],"stated":[66],"purpose.":[67],"This":[68,102],"survey":[69,136],"paper":[70],"aims":[71],"to":[72,123],"present":[73],"a":[74],"systematic":[75],"literature":[76,115],"review":[77],"based":[78],"on":[79,98,131],"35":[80],"journal":[81],"articles":[82],"published":[83],"since":[84],"2012,":[85],"where":[86],"state":[87],"art":[90],"classification":[93,143],"implemented":[97],"heart":[99,132],"disease":[100,133],"datasets.":[101,134],"study":[103],"critically":[104],"analyzes":[105],"selected":[107],"papers":[108],"finds":[110,137],"gaps":[111],"in":[112,127],"existing":[114],"assistive":[118],"researchers":[120],"who":[121],"intend":[122],"apply":[124],"medical":[128],"domains,":[129],"particularly":[130],"The":[135],"out":[138],"popular":[142],"are":[145],"Support":[146],"Vector":[147],"Machine,":[148],"Neural":[149],"Networks,":[150],"ensemble":[152],"classifiers.":[153]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}