{"id":"https://openalex.org/W4411950832","doi":"https://doi.org/10.1109/icit64950.2025.11049260","title":"AI-Driven Feature Selection for Enhanced Heart Disease Prediction","display_name":"AI-Driven Feature Selection for Enhanced Heart Disease Prediction","publication_year":2025,"publication_date":"2025-05-27","ids":{"openalex":"https://openalex.org/W4411950832","doi":"https://doi.org/10.1109/icit64950.2025.11049260"},"language":"en","primary_location":{"id":"doi:10.1109/icit64950.2025.11049260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit64950.2025.11049260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Information Technology (ICIT)","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/A5064630000","display_name":"Ameera Jaradat","orcid":"https://orcid.org/0000-0002-4150-2360"},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Ameera Jaradat","raw_affiliation_strings":["Yarmouk University,Dept. of Computer Sciences,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Dept. of Computer Sciences,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5115798973","display_name":"Salem Alhatamleh","orcid":null},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Salem Alhatamleh","raw_affiliation_strings":["Yarmouk University,Dept. of Computer Sciences,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Dept. of Computer Sciences,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067119172","display_name":"Mohammad Amin","orcid":null},"institutions":[{"id":"https://openalex.org/I85507684","display_name":"Yarmouk University","ror":"https://ror.org/004mbaj56","country_code":"JO","type":"education","lineage":["https://openalex.org/I85507684"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Mohammad Amin","raw_affiliation_strings":["Yarmouk University,Dept. of Computer Sciences,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yarmouk University,Dept. of Computer Sciences,Irbid,Jordan","institution_ids":["https://openalex.org/I85507684"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5057457399","display_name":"Hanan I. Malkawi","orcid":"https://orcid.org/0000-0001-7024-4789"},"institutions":[{"id":"https://openalex.org/I156983542","display_name":"Jordan University of Science and Technology","ror":"https://ror.org/03y8mtb59","country_code":"JO","type":"education","lineage":["https://openalex.org/I156983542"]}],"countries":["JO"],"is_corresponding":false,"raw_author_name":"Hatem Malkawi","raw_affiliation_strings":["Jordan University of Science and Technology,Dept. Faculty of Medicine,Irbid,Jordan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Jordan University of Science and Technology,Dept. Faculty of Medicine,Irbid,Jordan","institution_ids":["https://openalex.org/I156983542"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.0987,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89748181,"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":"285","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.8733999729156494,"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":0.8733999729156494,"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":0.7327913045883179},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6336192488670349},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.6208602786064148},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.578564465045929},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4457443952560425},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.41354307532310486},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3627007007598877}],"concepts":[{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.7327913045883179},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6336192488670349},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.6208602786064148},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.578564465045929},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4457443952560425},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.41354307532310486},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3627007007598877},{"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:10.1109/icit64950.2025.11049260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icit64950.2025.11049260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 12th International Conference on Information Technology (ICIT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"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":{"Heart":[0],"disease":[1,41,168],"continues":[2],"to":[3,34,59,103],"be":[4],"a":[5,82,131],"leading":[6],"cause":[7],"of":[8,39,67,107,116,154,163],"premature":[9],"death":[10],"globally,":[11],"underlining":[12],"the":[13,36,61,69,105,113,122,126,136,161],"need":[14],"for":[15,147],"early,":[16],"highly":[17],"dependable":[18],"diagnostics.":[19],"This":[20],"study":[21],"shows":[22,130],"how":[23],"advanced":[24],"feature":[25,55,109],"selection":[26,56,110,162,172],"methods":[27,80,90,158],"integrate":[28],"with":[29],"machine-learning":[30],"models":[31],"as":[32],"tools":[33],"improve":[35],"predictive":[37],"accuracy":[38],"heart":[40,167],"classification.":[42],"ANOVA":[43,123],"F-test,":[44],"principal":[45],"component":[46],"analysis":[47],"(PCA),":[48],"chi-square,":[49],"and":[50,99,176,180],"mutual":[51],"information":[52],"are":[53],"four":[54],"techniques":[57],"used":[58,91],"identify":[60],"most":[62],"important":[63],"predictors.":[64],"The":[65,85],"outcomes":[66],"capturing":[68],"same":[70],"number":[71],"15":[72],"features":[73,164],"reduced":[74],"well":[75],"by":[76],"almost":[77],"all":[78],"these":[79,117],"reveal":[81],"distinct":[83],"pattern.":[84],"other":[86],"three":[87],"machine":[88],"learning":[89],"were":[92],"Random":[93,127],"Forest":[94,128],"(RF),":[95],"Decision":[96],"Tree":[97],"(DT),":[98],"K-nearest":[100],"neighbors":[101],"(KNN)":[102],"check":[104],"impact":[106],"different":[108],"results":[111],"on":[112,174],"classification":[114,134],"performance":[115],"models.":[118],"Results":[119],"demonstrate":[120],"that":[121],"F-test":[124],"in":[125],"model":[129],"significantly":[132],"improved":[133],"at":[135],"maximum:":[137],"92.93%":[138],"accuracy.":[139],"PCA":[140],"has":[141],"also":[142],"presented":[143],"huge":[144],"improvements,":[145],"especially":[146],"KNN,":[148],"which":[149],"showed":[150],"an":[151],"F1":[152],"score":[153],"89.58%.":[155],"These":[156],"two":[157],"enhance":[159],"classification,":[160],"generates":[165],"optimal":[166],"prediction":[169],"models,":[170],"basing":[171],"approaches":[173],"data":[175],"making":[177],"early":[178],"detection":[179],"clinical":[181],"decision-making":[182],"efficient.":[183]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
