{"id":"https://openalex.org/W4401732982","doi":"https://doi.org/10.1145/3670085.3670091","title":"Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques","display_name":"Predicting Mitral Valve mTEER Surgery Outcomes Using Machine Learning and Deep Learning Techniques","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4401732982","doi":"https://doi.org/10.1145/3670085.3670091"},"language":"en","primary_location":{"id":"doi:10.1145/3670085.3670091","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670085.3670091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"},"type":"conference-paper","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/A5106661703","display_name":"Tejas Vyas","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Tejas Vyas","raw_affiliation_strings":["Department of Computer Science, Toronto Metropolitan University, Canada"],"raw_orcid":"https://orcid.org/0009-0008-7292-185X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Toronto Metropolitan University, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104237443","display_name":"Mohsena Chowdhury","orcid":"https://orcid.org/0009-0005-1526-2171"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mohsena Chowdhury","raw_affiliation_strings":["Department of Computer Science, Toronto Metropolitan University, Canada"],"raw_orcid":"https://orcid.org/0009-0005-1526-2171","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Toronto Metropolitan University, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026726294","display_name":"Xiaojiao Xiao","orcid":"https://orcid.org/0000-0002-5977-9405"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaojiao Xiao","raw_affiliation_strings":["Deapartment of Computer Science, Toronto Metropolitan University, Canada"],"raw_orcid":"https://orcid.org/0000-0003-2444-4004","affiliations":[{"raw_affiliation_string":"Deapartment of Computer Science, Toronto Metropolitan University, Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044640723","display_name":"Mathias Claeys","orcid":"https://orcid.org/0000-0002-3998-5340"},"institutions":[{"id":"https://openalex.org/I1297363086","display_name":"St. Michael's Hospital","ror":"https://ror.org/04skqfp25","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1297363086","https://openalex.org/I4399598460"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Mathias Claeys","raw_affiliation_strings":["St. Michael's Hospital, University of Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0002-3998-5340","affiliations":[{"raw_affiliation_string":"St. Michael's Hospital, University of Toronto, Canada","institution_ids":["https://openalex.org/I1297363086","https://openalex.org/I185261750"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113396212","display_name":"Geraldine Ong","orcid":null},"institutions":[{"id":"https://openalex.org/I1297363086","display_name":"St. Michael's Hospital","ror":"https://ror.org/04skqfp25","country_code":"CA","type":"healthcare","lineage":["https://openalex.org/I1297363086","https://openalex.org/I4399598460"]},{"id":"https://openalex.org/I185261750","display_name":"University of Toronto","ror":"https://ror.org/03dbr7087","country_code":"CA","type":"education","lineage":["https://openalex.org/I185261750"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Geraldine Ong","raw_affiliation_strings":["St. Michael's Hospital, University of Toronto, Canada"],"raw_orcid":"https://orcid.org/0000-0002-0176-6628","affiliations":[{"raw_affiliation_string":"St. Michael's Hospital, University of Toronto, Canada","institution_ids":["https://openalex.org/I1297363086","https://openalex.org/I185261750"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100399485","display_name":"Guanghui Wang","orcid":"https://orcid.org/0000-0003-3182-104X"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Guanghui Wang","raw_affiliation_strings":["Department of Computer Science, Toronto Metropolitan University, Canada"],"raw_orcid":"https://orcid.org/0000-0003-3182-104X","affiliations":[{"raw_affiliation_string":"Department of Computer Science, Toronto Metropolitan University, Canada","institution_ids":["https://openalex.org/I530967"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.6672,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.88059241,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"24","last_page":"28"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9937000274658203,"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/T10172","display_name":"Cardiac Valve Diseases and Treatments","score":0.9937000274658203,"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/T10372","display_name":"Cardiac Imaging and Diagnostics","score":0.9872999787330627,"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"}},{"id":"https://openalex.org/T12386","display_name":"Advanced X-ray and CT Imaging","score":0.9628000259399414,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6079254746437073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5439456105232239},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5129311084747314},{"id":"https://openalex.org/keywords/mitral-valve","display_name":"Mitral valve","score":0.4432033598423004},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38224300742149353},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.24355602264404297},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.24292856454849243}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6079254746437073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5439456105232239},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5129311084747314},{"id":"https://openalex.org/C2777543888","wikidata":"https://www.wikidata.org/wiki/Q369939","display_name":"Mitral valve","level":2,"score":0.4432033598423004},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38224300742149353},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.24355602264404297},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.24292856454849243}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3670085.3670091","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670085.3670091","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 9th International Conference on Mathematics and Artificial Intelligence","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":10,"referenced_works":["https://openalex.org/W2795981973","https://openalex.org/W2997591727","https://openalex.org/W3195814479","https://openalex.org/W4200061105","https://openalex.org/W4200539997","https://openalex.org/W4224220959","https://openalex.org/W4317376766","https://openalex.org/W4378715199","https://openalex.org/W4387211178","https://openalex.org/W4389313267"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W2961085424","https://openalex.org/W3215138031","https://openalex.org/W4306674287","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3046775127","https://openalex.org/W3082895349"],"abstract_inverted_index":{"Mitral":[0,75],"Transcatheter":[1],"Edge-to-Edge":[2],"Repair":[3,77],"(mTEER)":[4],"is":[5],"a":[6,25,57,86],"medical":[7],"procedure":[8,23],"utilized":[9],"for":[10,45,113],"the":[11,19,22,31,100],"treatment":[12,79],"of":[13,21,89,102],"mitral":[14,47],"valve":[15,48],"disorders.":[16],"However,":[17],"predicting":[18,46,107],"outcome":[20],"poses":[24],"significant":[26],"challenge.":[27],"This":[28],"paper":[29],"makes":[30],"first":[32],"attempt":[33],"to":[34],"harness":[35],"classical":[36],"machine":[37],"learning":[38,42],"(ML)":[39],"and":[40,66,93,104,116],"deep":[41],"(DL)":[43],"techniques":[44],"mTEER":[49,108],"surgery":[50,109],"outcomes.":[51,80],"To":[52],"achieve":[53],"this,":[54],"we":[55,84],"compiled":[56],"dataset":[58],"from":[59],"467":[60],"patients,":[61],"encompassing":[62],"labeled":[63],"echocardiogram":[64],"videos":[65],"patient":[67],"reports":[68],"containing":[69],"Transesophageal":[70],"Echocardiography":[71],"(TEE)":[72],"measurements":[73],"detailing":[74],"Valve":[76],"(MVR)":[78],"Leveraging":[81],"this":[82,119],"dataset,":[83],"conducted":[85],"benchmark":[87],"evaluation":[88],"six":[90],"ML":[91,103],"algorithms":[92],"two":[94],"DL":[95,105],"models.":[96],"The":[97],"results":[98],"underscore":[99],"potential":[101],"in":[106,118],"outcomes,":[110],"providing":[111],"insight":[112],"future":[114],"investigation":[115],"advancements":[117],"domain.":[120]},"counts_by_year":[{"year":2024,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}