{"id":"https://openalex.org/W4412387850","doi":"https://doi.org/10.32604/cmc.2025.063832","title":"A Federated Learning Approach for Cardiovascular Health Analysis and Detection","display_name":"A Federated Learning Approach for Cardiovascular Health Analysis and Detection","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4412387850","doi":"https://doi.org/10.32604/cmc.2025.063832"},"language":"en","primary_location":{"id":"doi:10.32604/cmc.2025.063832","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063832","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.32604/cmc.2025.063832","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5118974244","display_name":"Farhan Sarwar","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Farhan Sarwar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108009389","display_name":"Muhammad Shoaib Farooq","orcid":"https://orcid.org/0000-0002-4095-8868"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Muhammad Shoaib Farooq","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002227806","display_name":"Nagwan Abdel Samee","orcid":"https://orcid.org/0000-0001-5957-1383"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagwan Abdel Samee","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051158911","display_name":"Mona Jamjoom","orcid":"https://orcid.org/0000-0001-9149-2810"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mona M. Jamjoom","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5074629800","display_name":"Imran Ashraf","orcid":"https://orcid.org/0000-0002-8271-6496"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Imran Ashraf","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5118974244"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.33776761,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"84","issue":"3","first_page":"5897","last_page":"5914"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.7918000221252441,"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"}},"topics":[{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.7918000221252441,"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":0.528030514717102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.528030514717102}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.32604/cmc.2025.063832","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063832","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.32604/cmc.2025.063832","is_oa":true,"landing_page_url":"https://doi.org/10.32604/cmc.2025.063832","pdf_url":null,"source":{"id":"https://openalex.org/S4210191605","display_name":"Computers, materials & continua/Computers, materials & continua (Print)","issn_l":"1546-2218","issn":["1546-2218","1546-2226"],"is_oa":true,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computers, Materials &amp; Continua","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5199999809265137,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1992644002","https://openalex.org/W2093607580","https://openalex.org/W2150751323","https://openalex.org/W2521029800","https://openalex.org/W2787894218","https://openalex.org/W2995022099","https://openalex.org/W3121555817","https://openalex.org/W3171009737","https://openalex.org/W4200506429","https://openalex.org/W4212812840","https://openalex.org/W4213010368","https://openalex.org/W4223948761","https://openalex.org/W4281623088","https://openalex.org/W4303709772","https://openalex.org/W4306362420","https://openalex.org/W4323338469","https://openalex.org/W4391250688","https://openalex.org/W4392405463","https://openalex.org/W4400188157"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Environmental":[0],"transition":[1,12],"can":[2,161],"potentially":[3],"influence":[4],"cardiovascular":[5],"health.":[6],"Investigating":[7],"the":[8,30,141],"relationship":[9],"between":[10,32],"such":[11,69],"and":[13,28,35,43,66,84,114,136,151,156],"heart":[14,36,51,93,112,148],"disease":[15,94,149],"has":[16],"important":[17],"applications.":[18],"This":[19,138],"study":[20,139],"uses":[21],"federated":[22,71],"learning":[23,60],"(FL)":[24],"in":[25,131,154],"this":[26],"context":[27],"investigates":[29],"link":[31],"climate":[33],"change":[34],"disease.":[37],"The":[38,120],"dataset":[39],"containing":[40],"environmental,":[41],"meteorological,":[42],"health-related":[44],"factors":[45],"like":[46],"blood":[47],"sugar,":[48],"cholesterol,":[49],"maximum":[50],"rate,":[52],"fasting":[53],"ECG,":[54],"etc.,":[55],"is":[56,95],"used":[57],"with":[58,100,165],"machine":[59],"models":[61],"to":[62,125,128],"identify":[63],"hidden":[64],"patterns":[65],"relationships.":[67],"Algorithms":[68],"as":[70],"learning,":[72],"XGBoost,":[73],"random":[74],"forest,":[75],"support":[76],"vector":[77],"classifier,":[78,81],"extra":[79],"tree":[80],"k-nearest":[82],"neighbor,":[83],"logistic":[85],"regression":[86],"are":[87,111],"used.":[88],"A":[89],"framework":[90,123],"for":[91,143,146],"diagnosing":[92],"designed":[96],"using":[97],"FL":[98],"along":[99],"other":[101],"models.":[102],"Experiments":[103],"involve":[104],"discriminating":[105],"healthy":[106],"subjects":[107],"from":[108],"those":[109],"who":[110],"patients":[113],"obtain":[115],"an":[116],"accuracy":[117],"of":[118,133],"94.03%.":[119],"proposed":[121],"FL-based":[122],"proves":[124],"be":[126,163],"superior":[127],"existing":[129],"techniques":[130],"terms":[132],"usability,":[134],"dependability,":[135],"accuracy.":[137],"paves":[140],"way":[142],"screening":[144],"people":[145],"early":[147],"detection":[150],"continuous":[152],"monitoring":[153],"telemedicine":[155],"remote":[157],"care.":[158],"Personalized":[159],"treatment":[160],"also":[162],"planned":[164],"customized":[166],"therapies.":[167]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
