{"id":"https://openalex.org/W4406417427","doi":"https://doi.org/10.1109/ic3i61595.2024.10828728","title":"AI-Powered Prediction Models for Cardiovascular Disease Risk Assessment","display_name":"AI-Powered Prediction Models for Cardiovascular Disease Risk Assessment","publication_year":2024,"publication_date":"2024-09-18","ids":{"openalex":"https://openalex.org/W4406417427","doi":"https://doi.org/10.1109/ic3i61595.2024.10828728"},"language":"en","primary_location":{"id":"doi:10.1109/ic3i61595.2024.10828728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10828728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","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/A5018611575","display_name":"S. Vaishali","orcid":"https://orcid.org/0000-0002-8414-9755"},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"S Vaishali","raw_affiliation_strings":["Saveetha Engineering College,Department of Electronics and Communication Engineering,Thandalam,Tamilnadu,India"],"affiliations":[{"raw_affiliation_string":"Saveetha Engineering College,Department of Electronics and Communication Engineering,Thandalam,Tamilnadu,India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046643071","display_name":"Tharishini Mohan","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"T Mohan","raw_affiliation_strings":["Saveetha Engineering College,Department of Electronics and Communication Engineering,Thandalam,Tamilnadu,India"],"affiliations":[{"raw_affiliation_string":"Saveetha Engineering College,Department of Electronics and Communication Engineering,Thandalam,Tamilnadu,India","institution_ids":["https://openalex.org/I85461943"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044786065","display_name":"S. Navaneethan","orcid":null},"institutions":[{"id":"https://openalex.org/I85461943","display_name":"Saveetha University","ror":"https://ror.org/0034me914","country_code":"IN","type":"education","lineage":["https://openalex.org/I85461943"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Navaneethan","raw_affiliation_strings":["Saveetha Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India"],"affiliations":[{"raw_affiliation_string":"Saveetha Engineering College,Department of Electronics and Communication Engineering,Chennai,Tamil Nadu,India","institution_ids":["https://openalex.org/I85461943"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5018611575"],"corresponding_institution_ids":["https://openalex.org/I85461943"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.36262631,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"350","last_page":"355"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9987000226974487,"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":0.9987000226974487,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9739000201225281,"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"}},{"id":"https://openalex.org/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9592000246047974,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"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":0.6127318143844604},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5137261152267456},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3935270309448242},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2328224778175354},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.12589135766029358}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6127318143844604},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5137261152267456},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3935270309448242},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2328224778175354},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.12589135766029358}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ic3i61595.2024.10828728","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ic3i61595.2024.10828728","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 7th International Conference on Contemporary Computing and Informatics (IC3I)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.550000011920929,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W2182131007","https://openalex.org/W2903099708","https://openalex.org/W2912143357","https://openalex.org/W2912218772","https://openalex.org/W2963842925","https://openalex.org/W2979343283","https://openalex.org/W3092745004","https://openalex.org/W3097729966","https://openalex.org/W3135118210","https://openalex.org/W3163813640","https://openalex.org/W3176565095","https://openalex.org/W4200194057","https://openalex.org/W4212980161","https://openalex.org/W4387444927","https://openalex.org/W4387712818","https://openalex.org/W6686143063"],"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":{"More":[0],"precise":[1],"and":[2,36,56,89,124,136,164],"personalized":[3,137,161],"risk":[4,40,66,127],"assessments":[5],"for":[6,133,151],"cardiovascular":[7,68,155],"disease":[8],"(CVD)":[9],"have":[10],"been":[11],"achieved":[12],"because":[13,96],"of":[14,38,67,87,97,104,109,145],"recent":[15],"advancements":[16],"in":[17,159],"artificial":[18],"intelligence":[19],"(AI).":[20],"This":[21],"work":[22],"introduces":[23],"a":[24,43,65,101],"novel":[25],"AI-powered":[26],"prediction":[27],"model":[28,71],"that":[29,52,63,131],"is":[30],"designed":[31],"to":[32,59,153],"improve":[33],"the":[34,47,81,107,116,120,149],"accuracy":[35],"reliability":[37],"CVD":[39],"assessments.":[41],"Using":[42],"deep":[44],"learning":[45],"framework,":[46],"program":[48],"analyzes":[49],"extensive":[50],"datasets":[51],"include":[53],"demographic,":[54],"clinical,":[55],"lifestyle":[57],"data":[58],"identify":[60],"complex":[61],"patterns":[62],"indicate":[64],"disease.":[69],"The":[70,143],"demonstrates":[72],"exceptional":[73],"performance":[74],"metrics,":[75],"including":[76],"an":[77,90],"extraordinary":[78],"Area":[79],"Under":[80],"Receiver":[82],"Operating":[83],"Characteristic":[84],"Curve":[85],"(AUC-ROC)":[86],"0.95":[88],"impressive":[91],"$\\mathbf{9":[92],"2":[93],"\\%}$":[94],"accuracy,":[95],"rigorous":[98],"validation":[99],"on":[100],"diverse":[102],"array":[103],"datasets.":[105],"In":[106],"identification":[108],"patients":[110],"who":[111],"are":[112],"at":[113],"high":[114],"risk,":[115],"AI":[117,152],"algorithm":[118],"surpasses":[119],"Framingham":[121],"Risk":[122],"Score":[123],"other":[125],"well-established":[126],"ratings.":[128],"Consequently,":[129],"programs":[130],"advocate":[132],"early":[134],"intervention":[135],"treatment":[138],"may":[139],"receive":[140],"additional":[141],"funding.":[142],"results":[144],"this":[146],"study":[147],"demonstrate":[148],"potential":[150],"transform":[154],"health":[156],"care,":[157],"resulting":[158],"more":[160],"prevention":[162],"measures":[163],"enhanced":[165],"patient":[166],"outcomes.":[167]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}