{"id":"https://openalex.org/W3109674842","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263528","title":"A Machine Learning Approach to Heart Murmur Detection and Classification","display_name":"A Machine Learning Approach to Heart Murmur Detection and Classification","publication_year":2020,"publication_date":"2020-10-17","ids":{"openalex":"https://openalex.org/W3109674842","doi":"https://doi.org/10.1109/cisp-bmei51763.2020.9263528","mag":"3109674842"},"language":"en","primary_location":{"id":"doi:10.1109/cisp-bmei51763.2020.9263528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","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/A5021175264","display_name":"Alisa D. Levin","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726811","display_name":"Hartford Financial Services (United States)","ror":"https://ror.org/00mwq1g96","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726811"]},{"id":"https://openalex.org/I56722557","display_name":"Trinity College","ror":"https://ror.org/03j3dbz94","country_code":"US","type":"education","lineage":["https://openalex.org/I56722557"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Alisa D. Levin","raw_affiliation_strings":["Trinity College Hartford,Department of Engineering,Connecticut,USA"],"affiliations":[{"raw_affiliation_string":"Trinity College Hartford,Department of Engineering,Connecticut,USA","institution_ids":["https://openalex.org/I56722557","https://openalex.org/I4401726811"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068567392","display_name":"Anthony Ragazzi","orcid":"https://orcid.org/0009-0005-3688-7488"},"institutions":[{"id":"https://openalex.org/I56722557","display_name":"Trinity College","ror":"https://ror.org/03j3dbz94","country_code":"US","type":"education","lineage":["https://openalex.org/I56722557"]},{"id":"https://openalex.org/I4401726811","display_name":"Hartford Financial Services (United States)","ror":"https://ror.org/00mwq1g96","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726811"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anthony Ragazzi","raw_affiliation_strings":["Trinity College Hartford,Department of Engineering,Connecticut,USA"],"affiliations":[{"raw_affiliation_string":"Trinity College Hartford,Department of Engineering,Connecticut,USA","institution_ids":["https://openalex.org/I56722557","https://openalex.org/I4401726811"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056873148","display_name":"Skyler L. Szot","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726811","display_name":"Hartford Financial Services (United States)","ror":"https://ror.org/00mwq1g96","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726811"]},{"id":"https://openalex.org/I56722557","display_name":"Trinity College","ror":"https://ror.org/03j3dbz94","country_code":"US","type":"education","lineage":["https://openalex.org/I56722557"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Skyler L. Szot","raw_affiliation_strings":["Trinity College Hartford,Department of Engineering,Connecticut,USA"],"affiliations":[{"raw_affiliation_string":"Trinity College Hartford,Department of Engineering,Connecticut,USA","institution_ids":["https://openalex.org/I56722557","https://openalex.org/I4401726811"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5109047535","display_name":"Taikang Ning","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726811","display_name":"Hartford Financial Services (United States)","ror":"https://ror.org/00mwq1g96","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726811"]},{"id":"https://openalex.org/I56722557","display_name":"Trinity College","ror":"https://ror.org/03j3dbz94","country_code":"US","type":"education","lineage":["https://openalex.org/I56722557"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Taikang Ning","raw_affiliation_strings":["Trinity College Hartford,Department of Engineering,Connecticut,USA"],"affiliations":[{"raw_affiliation_string":"Trinity College Hartford,Department of Engineering,Connecticut,USA","institution_ids":["https://openalex.org/I56722557","https://openalex.org/I4401726811"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021175264"],"corresponding_institution_ids":["https://openalex.org/I4401726811","https://openalex.org/I56722557"],"apc_list":null,"apc_paid":null,"fwci":0.378,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.67297288,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"525"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T12419","display_name":"Phonocardiography and Auscultation Techniques","score":0.9998999834060669,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/T11021","display_name":"ECG Monitoring and Analysis","score":0.9722999930381775,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9661999940872192,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/support-vector-machine","display_name":"Support vector machine","score":0.7888230085372925},{"id":"https://openalex.org/keywords/heart-murmur","display_name":"Heart murmur","score":0.7141538262367249},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6793158054351807},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6656181812286377},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4875487685203552},{"id":"https://openalex.org/keywords/statistical-classification","display_name":"Statistical classification","score":0.4843674600124359},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48253485560417175},{"id":"https://openalex.org/keywords/one-class-classification","display_name":"One-class classification","score":0.4630316495895386},{"id":"https://openalex.org/keywords/test-set","display_name":"Test set","score":0.42639273405075073},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42196816205978394},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.05328550934791565}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.7888230085372925},{"id":"https://openalex.org/C2780379053","wikidata":"https://www.wikidata.org/wiki/Q1060911","display_name":"Heart murmur","level":2,"score":0.7141538262367249},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6793158054351807},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6656181812286377},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4875487685203552},{"id":"https://openalex.org/C110083411","wikidata":"https://www.wikidata.org/wiki/Q1744628","display_name":"Statistical classification","level":2,"score":0.4843674600124359},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48253485560417175},{"id":"https://openalex.org/C34872919","wikidata":"https://www.wikidata.org/wiki/Q7092302","display_name":"One-class classification","level":3,"score":0.4630316495895386},{"id":"https://openalex.org/C169903167","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Test set","level":2,"score":0.42639273405075073},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42196816205978394},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.05328550934791565},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cisp-bmei51763.2020.9263528","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cisp-bmei51763.2020.9263528","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 13th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6000000238418579,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W1983429352","https://openalex.org/W2096188505","https://openalex.org/W2123189179","https://openalex.org/W2135366095","https://openalex.org/W2575592338","https://openalex.org/W2596818854","https://openalex.org/W2799149040","https://openalex.org/W2808866466","https://openalex.org/W2894692871","https://openalex.org/W2901976219","https://openalex.org/W2902500627","https://openalex.org/W2918845407","https://openalex.org/W2920639077","https://openalex.org/W2970061430","https://openalex.org/W4237805639","https://openalex.org/W4294236058"],"related_works":["https://openalex.org/W4292814203","https://openalex.org/W2171206798","https://openalex.org/W2116045975","https://openalex.org/W3178993871","https://openalex.org/W4390778193","https://openalex.org/W3174749472","https://openalex.org/W2565151897","https://openalex.org/W3109674842","https://openalex.org/W4281776617","https://openalex.org/W4365421262"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,69],"heart":[4,15,76],"murmur":[5,18,42,79,86],"detection":[6],"and":[7,17,25,47,60,78,92],"classification":[8,43,50,87,113],"approach":[9],"via":[10],"machine":[11,54,63],"learning.":[12],"We":[13,45,66],"extracted":[14],"sound":[16,77],"features":[19,29,105],"that":[20,30],"are":[21,31,38],"of":[22,52,85,90,104],"diagnostic":[23],"importance":[24],"developed":[26],"additional":[27],"16":[28],"not":[32],"perceivable":[33],"by":[34],"human":[35],"ears":[36],"but":[37],"valuable":[39],"to":[40,81],"improve":[41],"accuracy.":[44],"examined":[46],"compared":[48],"the":[49,83,101],"performance":[51,84],"supervised":[53],"learning":[55],"with":[56],"k-nearest":[57],"neighbor":[58],"(KNN)":[59],"support":[61],"vector":[62],"(SVM)":[64],"algorithms.":[65],"put":[67],"together":[68],"test":[70],"repertoire":[71],"having":[72],"more":[73],"than":[74],"450":[75],"episodes":[80],"evaluate":[82],"using":[88],"cross-validation":[89],"80-20":[91],"90-10":[93],"splits.":[94],"As":[95],"clearly":[96],"demonstrated":[97],"in":[98,107,111],"our":[99,108],"evaluation,":[100],"specific":[102],"set":[103],"chosen":[106],"study":[109],"resulted":[110],"accurate":[112],"consistently":[114],"exceeding":[115],"90%":[116],"for":[117],"both":[118],"classifiers.":[119]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
