{"id":"https://openalex.org/W4387422232","doi":"https://doi.org/10.3390/technologies11050138","title":"Heuristic Weight Initialization for Diagnosing Heart Diseases Using Feature Ranking","display_name":"Heuristic Weight Initialization for Diagnosing Heart Diseases Using Feature Ranking","publication_year":2023,"publication_date":"2023-10-06","ids":{"openalex":"https://openalex.org/W4387422232","doi":"https://doi.org/10.3390/technologies11050138"},"language":"en","primary_location":{"id":"doi:10.3390/technologies11050138","doi":"https://doi.org/10.3390/technologies11050138","is_oa":true,"landing_page_url":"https://doi.org/10.3390/technologies11050138","pdf_url":"https://www.mdpi.com/2227-7080/11/5/138/pdf?version=1696609424","source":{"id":"https://openalex.org/S2738348041","display_name":"Technologies","issn_l":"2227-7080","issn":["2227-7080"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technologies","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2227-7080/11/5/138/pdf?version=1696609424","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5084033136","display_name":"Musulmon Lolaev","orcid":"https://orcid.org/0000-0001-5026-3640","observed_orcids":["https://orcid.org/0000-0001-5026-3640"]},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Musulmon Lolaev","raw_affiliation_strings":["The School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-5026-3640","affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030736016","display_name":"Shraddha M. Naik","orcid":"https://orcid.org/0000-0001-8139-5013","observed_orcids":["https://orcid.org/0000-0001-8139-5013"]},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shraddha M. Naik","raw_affiliation_strings":["The School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0001-8139-5013","affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103095309","display_name":"Anand Paul","orcid":"https://orcid.org/0000-0002-0737-2021","observed_orcids":["https://orcid.org/0000-0002-0737-2021"]},"institutions":[{"id":"https://openalex.org/I31419693","display_name":"Kyungpook National University","ror":"https://ror.org/040c17130","country_code":"KR","type":"education","lineage":["https://openalex.org/I31419693"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Anand Paul","raw_affiliation_strings":["The School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea"],"raw_orcid":"https://orcid.org/0000-0002-0737-2021","affiliations":[{"raw_affiliation_string":"The School of Computer Science and Engineering, Kyungpook National University, Daegu 41566, Republic of Korea","institution_ids":["https://openalex.org/I31419693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007232302","display_name":"Abdellah Chehri","orcid":"https://orcid.org/0000-0002-4193-6062","observed_orcids":["https://orcid.org/0000-0002-4193-6062"]},"institutions":[{"id":"https://openalex.org/I51768193","display_name":"Royal Military College of Canada","ror":"https://ror.org/04yr71909","country_code":"CA","type":"education","lineage":["https://openalex.org/I51768193"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Abdellah Chehri","raw_affiliation_strings":["Department of Mathematics and Computer Science, Royal Military College of Canada, Kingston, ON 17000, Canada"],"raw_orcid":"https://orcid.org/0000-0002-4193-6062","affiliations":[{"raw_affiliation_string":"Department of Mathematics and Computer Science, Royal Military College of Canada, Kingston, ON 17000, Canada","institution_ids":["https://openalex.org/I51768193"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5103095309"],"corresponding_institution_ids":["https://openalex.org/I31419693"],"apc_list":{"value":1400,"currency":"CHF","value_usd":1557},"apc_paid":{"value":1400,"currency":"CHF","value_usd":1557},"fwci":0.141,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.48426172,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"11","issue":"5","first_page":"138","last_page":"138"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9994999766349792,"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":0.9994999766349792,"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/T11021","display_name":"ECG Monitoring and Analysis","score":9.999999747378752e-05,"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/T13373","display_name":"Data Mining and Machine Learning Applications","score":0.0,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/heart-disease-diagnosis","display_name":"heart disease diagnosis","score":0.890999972820282},{"id":"https://openalex.org/keywords/heart-failure","display_name":"heart failure","score":0.7450000047683716},{"id":"https://openalex.org/keywords/feature-ranking","display_name":"feature ranking","score":0.9769999980926514},{"id":"https://openalex.org/keywords/linear-classifiers","display_name":"linear classifiers","score":0.6700000166893005},{"id":"https://openalex.org/keywords/derivative-free-optimization","display_name":"derivative-free optimization","score":0.6100000143051147},{"id":"https://openalex.org/keywords/human-augmentation","display_name":"human augmentation","score":0.7429999709129333},{"id":"https://openalex.org/keywords/wearable-health-monitoring","display_name":"wearable health monitoring","score":0.6520000100135803}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939961314201355},{"id":"https://openalex.org/C114466953","wikidata":"https://www.wikidata.org/wiki/Q6034165","display_name":"Initialization","level":2,"score":0.6704325675964355},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6556691527366638},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.6104589104652405},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5579525828361511},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.5352863073348999},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.43000829219818115},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.4239575266838074},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.20524173974990845},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3390/technologies11050138","doi":"https://doi.org/10.3390/technologies11050138","is_oa":true,"landing_page_url":"https://doi.org/10.3390/technologies11050138","pdf_url":"https://www.mdpi.com/2227-7080/11/5/138/pdf?version=1696609424","source":{"id":"https://openalex.org/S2738348041","display_name":"Technologies","issn_l":"2227-7080","issn":["2227-7080"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technologies","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:8db9e06a58934a0491adb74ef292eebf","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/8db9e06a58934a0491adb74ef292eebf","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Technologies, Vol 11, Iss 5, p 138 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/technologies11050138","doi":"https://doi.org/10.3390/technologies11050138","is_oa":true,"landing_page_url":"https://doi.org/10.3390/technologies11050138","pdf_url":"https://www.mdpi.com/2227-7080/11/5/138/pdf?version=1696609424","source":{"id":"https://openalex.org/S2738348041","display_name":"Technologies","issn_l":"2227-7080","issn":["2227-7080"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-20","russia-white-list-2"],"host_organization":"https://openalex.org/P4310310987","host_organization_name":"Multidisciplinary Digital Publishing Institute","host_organization_lineage":["https://openalex.org/P4310310987"],"host_organization_lineage_names":["Multidisciplinary Digital Publishing Institute"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Technologies","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.9537000060081482,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G5691133571","display_name":null,"funder_award_id":"4199990214394","funder_id":"https://openalex.org/F4320322120","funder_display_name":"National Research Foundation of Korea"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320322120","display_name":"National Research Foundation of Korea","ror":"https://ror.org/013aysd81"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387422232.pdf","grobid_xml":"https://content.openalex.org/works/W4387422232.grobid-xml"},"referenced_works_count":16,"referenced_works":["https://openalex.org/W1821665499","https://openalex.org/W2020349008","https://openalex.org/W2098859405","https://openalex.org/W2101234009","https://openalex.org/W2334305536","https://openalex.org/W2739315321","https://openalex.org/W2904915834","https://openalex.org/W2945813221","https://openalex.org/W2971382582","https://openalex.org/W3012665221","https://openalex.org/W3116527125","https://openalex.org/W3136212466","https://openalex.org/W3172824704","https://openalex.org/W3177425839","https://openalex.org/W4211191293","https://openalex.org/W4308333983"],"related_works":["https://openalex.org/W4408862183","https://openalex.org/W7125111477","https://openalex.org/W7211967883","https://openalex.org/W4415708869","https://openalex.org/W4405725321","https://openalex.org/W4408669886","https://openalex.org/W70629753","https://openalex.org/W4414610660","https://openalex.org/W7203455727","https://openalex.org/W7170344145"],"abstract_inverted_index":{"The":[0,116],"advent":[1],"of":[2,67,93,138,144,154,160],"Artificial":[3],"Intelligence":[4],"(AI)":[5],"has":[6],"had":[7],"a":[8,27,100,129,139],"broad":[9],"impact":[10],"on":[11],"life":[12],"to":[13,51,105,133,189],"solve":[14],"various":[15],"tasks.":[16],"Building":[17],"AI":[18],"models":[19,123],"and":[20,36,41,91,156,176],"integrating":[21],"them":[22],"with":[23,58,162],"modern":[24,86],"technologies":[25,33],"is":[26,44,70,119,131,174,180,185],"central":[28],"challenge":[29],"for":[30,169],"researchers.":[31],"These":[32],"include":[34],"wearables":[35],"implants":[37],"in":[38,75,88],"living":[39],"beings,":[40],"their":[42,76,94],"use":[43,95],"known":[45],"as":[46,125],"human":[47,53,56],"augmentation,":[48],"using":[49],"technology":[50],"enhance":[52],"abilities.":[54],"Combining":[55],"augmentation":[57],"artificial":[59],"intelligence":[60],"(AI),":[61],"especially":[62],"after":[63],"the":[64,68,71,79,135,145,171,177,183],"recent":[65],"successes":[66],"latter,":[69],"most":[72],"significant":[73],"advancement":[74],"applicability.":[77],"In":[78],"first":[80],"section,":[81],"we":[82,98],"briefly":[83],"introduce":[84],"these":[85],"applications":[87],"health":[89],"care":[90],"examples":[92],"cases.":[96],"Then,":[97],"present":[99],"computationally":[101],"efficient":[102],"AI-driven":[103],"method":[104],"diagnose":[106],"heart":[107,113],"failure":[108,114],"events":[109],"by":[110],"leveraging":[111],"actual":[112],"data.":[115],"classifier":[117],"model":[118,147,184],"designed":[120],"without":[121],"conventional":[122],"such":[124],"gradient":[126],"descent.":[127],"Instead,":[128],"heuristic":[130],"used":[132],"discover":[134],"optimal":[136],"parameters":[137],"linear":[140],"model.":[141],"An":[142],"analysis":[143],"proposed":[146],"shows":[148],"that":[149],"it":[150],"achieves":[151],"an":[152,157],"accuracy":[153,172],"84%":[155],"F1":[158,178],"score":[159,179],"0.72":[161],"only":[163],"one":[164],"feature.":[165],"With":[166],"five":[167],"features":[168],"diagnosis,":[170],"achieved":[173],"83%,":[175],"0.74.":[181],"Moreover,":[182],"flexible,":[186],"allowing":[187],"experts":[188],"determine":[190],"which":[191],"variables":[192],"are":[193],"more":[194],"important":[195],"than":[196],"others":[197],"when":[198],"implementing":[199],"diagnostic":[200],"systems.":[201]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2023-10-08T00:00:00"}