{"id":"https://openalex.org/W4411098662","doi":"https://doi.org/10.1145/3723178.3723240","title":"Predicting Heart Disease Risk with Lifestyle Factors: Uncovering Vital Predictors via Feature Selection and Machine Learning Techniques","display_name":"Predicting Heart Disease Risk with Lifestyle Factors: Uncovering Vital Predictors via Feature Selection and Machine Learning Techniques","publication_year":2024,"publication_date":"2024-10-17","ids":{"openalex":"https://openalex.org/W4411098662","doi":"https://doi.org/10.1145/3723178.3723240"},"language":"en","primary_location":{"id":"doi:10.1145/3723178.3723240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723240","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723240","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5117857219","display_name":"Sadia Tuly","orcid":null},"institutions":[{"id":"https://openalex.org/I4403386777","display_name":"Bangladesh Army International University of Science and Technology","ror":"https://ror.org/03zzmvm93","country_code":null,"type":"education","lineage":["https://openalex.org/I4403386777"]}],"countries":["BD"],"is_corresponding":true,"raw_author_name":"Sadia Tuly","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh Army International University of Science and Technology, Cumilla, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0003-3010-3203","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh Army International University of Science and Technology, Cumilla, Bangladesh","institution_ids":["https://openalex.org/I4403386777"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Shatabdi Majumder","orcid":"https://orcid.org/0009-0008-0439-7005"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shatabdi Majumder","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh Army International University of Science &amp; Technology, Cumilla, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0008-0439-7005","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh Army International University of Science &amp; Technology, Cumilla, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":null,"display_name":"Atoshi Chowdhury","orcid":"https://orcid.org/0009-0002-0088-3045"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Atoshi Chowdhury","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh Army International University of Science &amp; Technology, Cumilla, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0002-0088-3045","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh Army International University of Science &amp; Technology, Cumilla, Bangladesh","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113988171","display_name":"A K M Rubaiyat Reza Habib","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ahosan Habib","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh Army International University of Science &amp; Technology, Cumilla, Bangladesh"],"raw_orcid":"https://orcid.org/0009-0009-7088-1556","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh Army International University of Science &amp; Technology, Cumilla, Bangladesh","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074129552","display_name":"Sayma Alam Suha","orcid":"https://orcid.org/0000-0002-7935-3698"},"institutions":[{"id":"https://openalex.org/I96426537","display_name":"Bangladesh University of Professionals","ror":"https://ror.org/01zphyp78","country_code":"BD","type":"education","lineage":["https://openalex.org/I96426537"]}],"countries":["BD"],"is_corresponding":false,"raw_author_name":"Sayma Alam Suha","raw_affiliation_strings":["Department of Computer Science and Engineering, Bangladesh University of Professionals, Dhaka, Bangladesh"],"raw_orcid":"https://orcid.org/0000-0002-7935-3698","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Bangladesh University of Professionals, Dhaka, Bangladesh","institution_ids":["https://openalex.org/I96426537"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5117857219"],"corresponding_institution_ids":["https://openalex.org/I4403386777"],"apc_list":null,"apc_paid":null,"fwci":0.6751,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.82516456,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"466","last_page":"473"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9943000078201294,"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":0.9943000078201294,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.8203846216201782},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6786614656448364},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6118341088294983},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5996646285057068},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5580579042434692},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5468480587005615},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5237027406692505},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2408609390258789},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.10416391491889954}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.8203846216201782},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6786614656448364},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6118341088294983},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5996646285057068},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5580579042434692},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5468480587005615},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5237027406692505},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2408609390258789},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.10416391491889954},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3723178.3723240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723240","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3723178.3723240","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3723178.3723240","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3723178.3723240","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Conference on Computing Advancements","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4411098662.pdf","grobid_xml":"https://content.openalex.org/works/W4411098662.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2961085424","https://openalex.org/W3009464829","https://openalex.org/W3013783227","https://openalex.org/W3022199624","https://openalex.org/W3088053597","https://openalex.org/W3096794104","https://openalex.org/W3112161335","https://openalex.org/W3119797572","https://openalex.org/W3121452223","https://openalex.org/W3198994498","https://openalex.org/W3205138716","https://openalex.org/W4205090046","https://openalex.org/W4206407393","https://openalex.org/W4225434098","https://openalex.org/W4293869062","https://openalex.org/W4304701250","https://openalex.org/W4317434425","https://openalex.org/W4317538583","https://openalex.org/W4323060085","https://openalex.org/W4327567140","https://openalex.org/W4382896016","https://openalex.org/W4392943175"],"related_works":["https://openalex.org/W4205762803","https://openalex.org/W2535856026","https://openalex.org/W2265065644","https://openalex.org/W3147584709","https://openalex.org/W2134699697","https://openalex.org/W3017188156","https://openalex.org/W2322875716","https://openalex.org/W2961085424","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"High":[0],"incidence":[1],"and":[2,89,103,144,179,208],"mortality":[3],"rates":[4],"of":[5,13,31,38,44,73,129,138,157,175,197],"cardiovascular":[6],"diseases":[7],"elevated":[8],"them":[9],"to":[10,78,117,190,199],"the":[11,41,49,71,101,108,127,149,155,166,181],"position":[12],"a":[14,36,66,82,93,112,134],"major":[15,203],"global":[16],"public":[17],"health":[18,191],"challenge.Machine":[19],"learning":[20,76,141,184],"in":[21,56,62,154],"predictive":[22,83],"modeling":[23],"became":[24],"imperative":[25],"for":[26,122,205],"identifying":[27],"those":[28,188],"at":[29],"risk":[30,178],"cardiac":[32],"disease":[33,59,124,159,177],"based":[34],"on":[35,48,214],"host":[37],"factors,":[39],"given":[40],"recent":[42],"emergence":[43],"data-driven":[45],"methodologies.It":[46],"focuses":[47],"role":[50],"that":[51,85,168,180],"lifestyle":[52,120,170],"variables":[53],"can":[54,161,185],"play":[55],"predicting":[57],"heart":[58,123,158,176],"risk.The":[60],"authors,":[61],"this":[63],"paper,":[64],"present":[65],"stacking":[67],"ensemble":[68,98],"method":[69,116],"combining":[70],"strengths":[72,153],"various":[74],"machine":[75,140,183],"models":[77,106,142],"come":[79],"up":[80,198],"with":[81,143,194],"model":[84,99],"would":[86],"prove":[87],"resilient":[88],"accurate.The":[90],"methodology":[91],"utilizes":[92],"single":[94],"bagging":[95],"or":[96],"boosting":[97],"as":[100,107],"meta-learner":[102],"numerous":[104],"traditional":[105],"base-learner.Furthermore,":[109],"we":[110],"implement":[111],"voting":[113],"feature":[114,147],"selection":[115],"identify":[118],"influential":[119],"predictors":[121,174],"by":[125,211],"aggregating":[126],"results":[128,164],"five":[130],"distinct":[131],"techniques.By":[132],"conducting":[133],"comprehensive":[135],"comparative":[136],"analysis":[137],"other":[139],"without":[145],"reduced":[146],"sets,":[148],"proposed":[150,182],"ML":[151],"technique's":[152],"context":[156],"prediction":[160],"be":[162],"revealed.The":[163],"support":[165],"hypothesis":[167],"key":[169],"elements":[171],"are":[172],"important":[173],"effectively":[186],"apply":[187],"features":[189],"outcome":[192],"predictions":[193],"an":[195],"accuracy":[196],"93.7%.This":[200],"research":[201],"contributes":[202],"knowledge":[204],"healthcare":[206],"professionals":[207],"patients":[209],"alike":[210],"putting":[212],"emphasis":[213]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
