{"id":"https://openalex.org/W4405270358","doi":"https://doi.org/10.1109/cvmi61877.2024.10781823","title":"A Novel Multimodal Framework for Early Detection of Congestive Heart Failure using Ensemble Learning based Fusion Approach","display_name":"A Novel Multimodal Framework for Early Detection of Congestive Heart Failure using Ensemble Learning based Fusion Approach","publication_year":2024,"publication_date":"2024-10-19","ids":{"openalex":"https://openalex.org/W4405270358","doi":"https://doi.org/10.1109/cvmi61877.2024.10781823"},"language":"en","primary_location":{"id":"doi:10.1109/cvmi61877.2024.10781823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10781823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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":null,"display_name":"Aditya Oza","orcid":null},"institutions":[{"id":"https://openalex.org/I4387155265","display_name":"International Institute of Information Technology","ror":"https://ror.org/016kfyg29","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387155265"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Aditya Oza","raw_affiliation_strings":["IIIT Naya Raipur,Dept. of DSAI,Raipur,India"],"affiliations":[{"raw_affiliation_string":"IIIT Naya Raipur,Dept. of DSAI,Raipur,India","institution_ids":["https://openalex.org/I4387155265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020338828","display_name":"Sanskriti Patel","orcid":"https://orcid.org/0009-0000-7718-9671"},"institutions":[{"id":"https://openalex.org/I4387155265","display_name":"International Institute of Information Technology","ror":"https://ror.org/016kfyg29","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387155265"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sanskriti Patel","raw_affiliation_strings":["IIIT Naya Raipur,Dept. of CSE,Raipur,India"],"affiliations":[{"raw_affiliation_string":"IIIT Naya Raipur,Dept. of CSE,Raipur,India","institution_ids":["https://openalex.org/I4387155265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114942785","display_name":"Bhavesh Gyanchandani","orcid":null},"institutions":[{"id":"https://openalex.org/I4387155265","display_name":"International Institute of Information Technology","ror":"https://ror.org/016kfyg29","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387155265"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bhavesh S. Gyanchandani","raw_affiliation_strings":["IIIT Naya Raipur,Dept. of DSAI,Raipur,India"],"affiliations":[{"raw_affiliation_string":"IIIT Naya Raipur,Dept. of DSAI,Raipur,India","institution_ids":["https://openalex.org/I4387155265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102935108","display_name":"Jyoti Sahu","orcid":"https://orcid.org/0000-0003-4156-5465"},"institutions":[{"id":"https://openalex.org/I4387155265","display_name":"International Institute of Information Technology","ror":"https://ror.org/016kfyg29","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387155265"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jyoti Sahu","raw_affiliation_strings":["IIIT Naya Raipur,Dept. of DSAI,Raipur,India"],"affiliations":[{"raw_affiliation_string":"IIIT Naya Raipur,Dept. of DSAI,Raipur,India","institution_ids":["https://openalex.org/I4387155265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114371815","display_name":"Abhinav Roy","orcid":"https://orcid.org/0009-0000-6854-1274"},"institutions":[{"id":"https://openalex.org/I4387155265","display_name":"International Institute of Information Technology","ror":"https://ror.org/016kfyg29","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387155265"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhinav Roy","raw_affiliation_strings":["IIIT Naya Raipur,Dept. of DSAI,Raipur,India"],"affiliations":[{"raw_affiliation_string":"IIIT Naya Raipur,Dept. of DSAI,Raipur,India","institution_ids":["https://openalex.org/I4387155265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5091411662","display_name":"Santosh Kumar","orcid":"https://orcid.org/0000-0003-2264-9014"},"institutions":[{"id":"https://openalex.org/I4387155265","display_name":"International Institute of Information Technology","ror":"https://ror.org/016kfyg29","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387155265"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Santosh Kumar","raw_affiliation_strings":["IIIT Naya Raipur,Dept. of CSE,Raipur,India"],"affiliations":[{"raw_affiliation_string":"IIIT Naya Raipur,Dept. of CSE,Raipur,India","institution_ids":["https://openalex.org/I4387155265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003247355","display_name":"Abhishek Shrivastava","orcid":"https://orcid.org/0009-0007-7101-496X"},"institutions":[{"id":"https://openalex.org/I4387155265","display_name":"International Institute of Information Technology","ror":"https://ror.org/016kfyg29","country_code":null,"type":"facility","lineage":["https://openalex.org/I4387155265"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Abhishek Shrivastava","raw_affiliation_strings":["IIIT Naya Raipur,Dept. of CSE,Raipur,India"],"affiliations":[{"raw_affiliation_string":"IIIT Naya Raipur,Dept. of CSE,Raipur,India","institution_ids":["https://openalex.org/I4387155265"]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4387155265"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.31335008,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9503999948501587,"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":0.9503999948501587,"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/heart-failure","display_name":"Heart failure","score":0.6683547496795654},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.651646077632904},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.47841769456863403},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46736666560173035},{"id":"https://openalex.org/keywords/ensemble-learning","display_name":"Ensemble learning","score":0.4601834714412689},{"id":"https://openalex.org/keywords/cardiology","display_name":"Cardiology","score":0.179926335811615},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.14637351036071777}],"concepts":[{"id":"https://openalex.org/C2778198053","wikidata":"https://www.wikidata.org/wiki/Q181754","display_name":"Heart failure","level":2,"score":0.6683547496795654},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.651646077632904},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.47841769456863403},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46736666560173035},{"id":"https://openalex.org/C45942800","wikidata":"https://www.wikidata.org/wiki/Q245652","display_name":"Ensemble learning","level":2,"score":0.4601834714412689},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"score":0.179926335811615},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.14637351036071777},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi61877.2024.10781823","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi61877.2024.10781823","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.5899999737739563}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2790478351","https://openalex.org/W2998211747","https://openalex.org/W3085682112","https://openalex.org/W3183647693","https://openalex.org/W4210937888","https://openalex.org/W4296620531","https://openalex.org/W4312298503","https://openalex.org/W4312939334","https://openalex.org/W4319069018","https://openalex.org/W4389038120","https://openalex.org/W4391408914","https://openalex.org/W4391936585","https://openalex.org/W4392347871","https://openalex.org/W4392551415"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W588655279","https://openalex.org/W2383994333","https://openalex.org/W642714463","https://openalex.org/W2099628268","https://openalex.org/W2390279801","https://openalex.org/W44894489","https://openalex.org/W2164703220"],"abstract_inverted_index":{"In":[0,105],"recent":[1],"years,":[2],"critical":[3],"heart":[4,11,60],"conditions":[5],"like":[6,82],"myocardial":[7],"infarction":[8],"(MI),":[9],"congestive":[10],"failure":[12,61],"(CHF),":[13],"pulmonary":[14],"diseases,":[15],"and":[16,77,93,102,130,159,165],"non-communicable":[17],"diseases":[18],"have":[19,54],"become":[20],"increasingly":[21],"prevalent.":[22],"CHF,":[23],"in":[24,100,178],"particular,":[25],"poses":[26],"a":[27,113],"significant":[28],"threat":[29],"with":[30],"high":[31],"mortality":[32],"rates.":[33],"It":[34],"is":[35],"defined":[36],"by":[37],"the":[38,47,132],"heart\u2019s":[39],"incapacity":[40],"to":[41,49,107,161],"pump":[42],"blood":[43],"effectively,":[44],"which":[45],"causes":[46],"body":[48],"retain":[50],"fluid.":[51],"Various":[52],"studies":[53],"focused":[55],"on":[56,90],"early":[57],"diagnosis":[58],"of":[59,96,134],"using":[62,119],"machine":[63],"learning":[64,136,168],"(ML)":[65],"algorithms":[66],"such":[67],"as":[68],"Random":[69],"Forest":[70],"(RF),":[71],"Support":[72],"Vector":[73],"Machine":[74],"(SVM),":[75],"XGBoost,":[76],"Deep":[78],"Learning":[79],"(DL)":[80],"models":[81],"Tiny":[83],"Unet.":[84],"However,":[85],"these":[86,109],"methods":[87],"heavily":[88],"rely":[89],"signal":[91],"processing":[92],"manual":[94],"analysis":[95],"ECG":[97,120],"data,":[98],"resulting":[99],"complexity":[101],"reduced":[103],"accuracy.":[104],"order":[106],"tackle":[108],"challenges,":[110],"we":[111],"suggest":[112],"multimodal":[114],"framework":[115,123],"for":[116,150,169],"CHF":[117],"classification":[118],"data.":[121],"This":[122],"extracts":[124],"discriminatory":[125],"features":[126,158],"from":[127],"pre-processed":[128],"data":[129],"integrates":[131],"accuracy":[133],"ensemble":[135,167],"models.":[137],"Our":[138],"approach":[139],"achieves":[140],"${9":[141],"8.":[142],"5":[143],"2":[144],"\\%}$":[145],"accuracy,":[146],"indicating":[147],"its":[148],"potential":[149],"clinical":[151,179],"use.":[152],"Future":[153],"research":[154],"should":[155],"explore":[156],"additional":[157],"modalities":[160],"enhance":[162],"predictive":[163],"modeling":[164],"extend":[166],"better":[170],"MI":[171],"detection,":[172],"thereby":[173],"improving":[174],"cardiovascular":[175],"health":[176],"monitoring":[177],"settings.":[180]},"counts_by_year":[],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
