{"id":"https://openalex.org/W4396879108","doi":"https://doi.org/10.1145/3647444.3647834","title":"An Empirical Study of Machine Learning Methods for Analyzing Cardiovascular Disease","display_name":"An Empirical Study of Machine Learning Methods for Analyzing Cardiovascular Disease","publication_year":2023,"publication_date":"2023-11-23","ids":{"openalex":"https://openalex.org/W4396879108","doi":"https://doi.org/10.1145/3647444.3647834"},"language":"en","primary_location":{"id":"doi:10.1145/3647444.3647834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","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/A5094055453","display_name":"Charanjeet Gaba","orcid":"https://orcid.org/0009-0006-1124-6497"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Charanjeet Gaba","raw_affiliation_strings":["Computer Science, Chandigarh University, India"],"affiliations":[{"raw_affiliation_string":"Computer Science, Chandigarh University, India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020300650","display_name":"Sonam Khattar","orcid":"https://orcid.org/0000-0002-5444-4358"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sonam Khattar","raw_affiliation_strings":["Computer Science, Chandigarh University, India"],"affiliations":[{"raw_affiliation_string":"Computer Science, Chandigarh University, India","institution_ids":["https://openalex.org/I101407740"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067219965","display_name":"Sheenam Middha","orcid":"https://orcid.org/0000-0002-0639-5539"},"institutions":[{"id":"https://openalex.org/I101407740","display_name":"Chandigarh University","ror":"https://ror.org/05t4pvx35","country_code":"IN","type":"education","lineage":["https://openalex.org/I101407740"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sheenam Middha","raw_affiliation_strings":["computer science , chandigarh university, India"],"affiliations":[{"raw_affiliation_string":"computer science , chandigarh university, India","institution_ids":["https://openalex.org/I101407740"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5094055453"],"corresponding_institution_ids":["https://openalex.org/I101407740"],"apc_list":null,"apc_paid":null,"fwci":1.124,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.85459321,"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":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9923999905586243,"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":0.9923999905586243,"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/T10745","display_name":"Heart Rate Variability and Autonomic Control","score":0.9311000108718872,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/T10144","display_name":"Blood Pressure and Hypertension Studies","score":0.9151999950408936,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/computer-science","display_name":"Computer science","score":0.6562433838844299},{"id":"https://openalex.org/keywords/empirical-research","display_name":"Empirical research","score":0.5018668174743652},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.4779479503631592},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4541444778442383},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4268518388271332},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.36992549896240234},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18371257185935974},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.11912915110588074},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10781654715538025},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09135183691978455}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6562433838844299},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.5018668174743652},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.4779479503631592},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4541444778442383},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4268518388271332},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36992549896240234},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18371257185935974},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.11912915110588074},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10781654715538025},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09135183691978455}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3647444.3647834","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3647444.3647834","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 5th International Conference on Information Management &amp; Machine Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.4300000071525574,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2020703194","https://openalex.org/W2765435434","https://openalex.org/W2891207990","https://openalex.org/W2900184860","https://openalex.org/W2913705661","https://openalex.org/W3177781640","https://openalex.org/W3185271498","https://openalex.org/W3192890575","https://openalex.org/W3213038192","https://openalex.org/W4206242867","https://openalex.org/W4212812840","https://openalex.org/W4221021152","https://openalex.org/W4221059823","https://openalex.org/W4223422764","https://openalex.org/W4308529562","https://openalex.org/W4319440851","https://openalex.org/W4321369284","https://openalex.org/W4381884597","https://openalex.org/W6751772368"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"The":[0],"entire":[1],"body":[2],"depends":[3],"on":[4],"the":[5,106,133,138],"heart":[6],"to":[7,10,54,84,104],"supply":[8],"plasma":[9],"every":[11],"part":[12],"of":[13,39,74,108,120,126],"it.":[14],"Heart":[15],"disease":[16,95],"is":[17],"diagnosed":[18],"using":[19,78],"conventional":[20],"medical":[21],"procedures":[22],"(like":[23],"angiography),":[24],"which":[25],"come":[26],"with":[27],"a":[28,37,55,67,72,118],"greater":[29],"price":[30],"tag":[31],"and":[32,44,89,130],"serious":[33],"health":[34],"hazards.":[35],"Previously,":[36],"range":[38],"information":[40,42],"collection,":[41],"sources,":[43],"machine":[45,79],"learning":[46,80],"techniques":[47],"were":[48],"applied.":[49],"Several":[50],"study":[51],"articles":[52],"dedicated":[53],"specific":[56],"data":[57],"standard":[58],"have":[59,70],"been":[60],"published":[61],"in":[62,82],"multiple":[63],"previous":[64],"evaluations.":[65],"As":[66],"result,":[68],"scientists":[69],"created":[71],"variety":[73,119],"robotic":[75],"detection":[76],"systems":[77],"algorithms":[81],"addition":[83],"discovery":[85],"methodologies.":[86,121],"Simple,":[87],"reliable,":[88],"efficient":[90],"methods":[91],"for":[92],"detecting":[93],"cardiovascular":[94,109],"are":[96],"provided":[97],"by":[98],"ML-based":[99],"computer-aided":[100],"diagnostics.":[101],"In":[102],"order":[103],"assess":[105],"prognosis":[107],"illness,":[110],"this":[111],"effort":[112],"will":[113],"analyze":[114],"computerized":[115],"diagnostics":[116],"utilizing":[117],"With":[122],"an":[123],"F-1":[124],"score":[125],"98.52,":[127],"99.25%":[128],"precision,":[129],"98.53%":[131],"accuracy,":[132],"Random":[134],"Forest":[135],"model":[136],"outperforms":[137],"other":[139],"models.":[140]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
