{"id":"https://openalex.org/W4312290245","doi":"https://doi.org/10.1145/3570773.3570855","title":"Identification of Cardiovascular Diseases Based on Machine Learning","display_name":"Identification of Cardiovascular Diseases Based on Machine Learning","publication_year":2022,"publication_date":"2022-10-13","ids":{"openalex":"https://openalex.org/W4312290245","doi":"https://doi.org/10.1145/3570773.3570855"},"language":"en","primary_location":{"id":"doi:10.1145/3570773.3570855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","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/A5069721670","display_name":"Yubin Wang","orcid":"https://orcid.org/0000-0001-8095-6771"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yubin Wang","raw_affiliation_strings":["Donghua University, China"],"affiliations":[{"raw_affiliation_string":"Donghua University, China","institution_ids":["https://openalex.org/I181326427"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5069721670"],"corresponding_institution_ids":["https://openalex.org/I181326427"],"apc_list":null,"apc_paid":null,"fwci":0.6526,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.71559343,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"531","last_page":"536"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13522","display_name":"Cardiovascular Health and Risk Factors","score":0.9916999936103821,"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/T13522","display_name":"Cardiovascular Health and Risk Factors","score":0.9916999936103821,"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/T10924","display_name":"Cardiovascular Health and Disease Prevention","score":0.9718999862670898,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9706000089645386,"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/blood-pressure","display_name":"Blood pressure","score":0.774198055267334},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.6452690362930298},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5221909880638123},{"id":"https://openalex.org/keywords/cardiovascular-health","display_name":"Cardiovascular health","score":0.4614594578742981},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4227471351623535},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41765809059143066},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4101518988609314},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.40992236137390137},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.32117217779159546}],"concepts":[{"id":"https://openalex.org/C84393581","wikidata":"https://www.wikidata.org/wiki/Q82642","display_name":"Blood pressure","level":2,"score":0.774198055267334},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.6452690362930298},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5221909880638123},{"id":"https://openalex.org/C3018284874","wikidata":"https://www.wikidata.org/wiki/Q389735","display_name":"Cardiovascular health","level":3,"score":0.4614594578742981},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4227471351623535},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41765809059143066},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4101518988609314},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.40992236137390137},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.32117217779159546}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3570773.3570855","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3570773.3570855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 3rd International Symposium on Artificial Intelligence for Medicine Sciences","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":0.6600000262260437}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W163035856","https://openalex.org/W2005417625","https://openalex.org/W2089760288","https://openalex.org/W2145513113","https://openalex.org/W2754591458","https://openalex.org/W2963942467","https://openalex.org/W2965615338","https://openalex.org/W3080409186","https://openalex.org/W3093030774","https://openalex.org/W3111698685","https://openalex.org/W4293068774"],"related_works":["https://openalex.org/W2008493941","https://openalex.org/W4242805080","https://openalex.org/W2004598647","https://openalex.org/W2387699627","https://openalex.org/W2417315314","https://openalex.org/W2333496323","https://openalex.org/W2374236384","https://openalex.org/W2186328009","https://openalex.org/W2969596767","https://openalex.org/W2999017747"],"abstract_inverted_index":{"Cardiovascular":[0],"disease":[1],"has":[2],"been":[3],"a":[4,46],"major":[5],"killer":[6],"threatening":[7],"human":[8],"life":[9],"and":[10,25,40,81,89],"health.":[11],"This":[12],"paper":[13],"is":[14,34,42],"devoted":[15],"to":[16,36,44],"studying":[17],"the":[18,38,52,96],"characteristics":[19,39],"of":[20,51,98],"patients":[21,68],"with":[22,65,69],"cardiovascular":[23,70,99],"diseases":[24,71],"classifying":[26],"them":[27],"by":[28,56],"physical":[29],"examination":[30],"indicators.":[31],"K-means":[32],"algorithm":[33],"uesd":[35],"analyze":[37],"xgboost":[41],"used":[43],"form":[45],"better":[47],"classifier.":[48],"The":[49,59],"effect":[50],"models":[53],"are":[54,91],"evaluated":[55],"relevant":[57],"indexes.":[58],"experimental":[60],"results":[61],"show":[62],"that,":[63],"compared":[64],"normal":[66],"people,":[67],"have":[72],"three":[73,92],"characteristics:":[74],"an":[75],"older":[76],"age,":[77],"higher":[78],"blood":[79,86],"pressure,":[80,87],"heavier":[82],"weight.":[83],"Meanwhile,":[84],"systolic":[85],"cholesterol,":[88],"age":[90],"important":[93],"indicators":[94],"for":[95],"classification":[97],"diseases.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
