{"id":"https://openalex.org/W7124439155","doi":"https://doi.org/10.1007/s10586-025-05892-y","title":"A novel hybrid metaheuristic for optimizing deep CNN hyperparameters to enhance heart disease prediction on a comprehensive merged dataset","display_name":"A novel hybrid metaheuristic for optimizing deep CNN hyperparameters to enhance heart disease prediction on a comprehensive merged dataset","publication_year":2026,"publication_date":"2026-01-16","ids":{"openalex":"https://openalex.org/W7124439155","doi":"https://doi.org/10.1007/s10586-025-05892-y"},"language":"en","primary_location":{"id":"doi:10.1007/s10586-025-05892-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05892-y","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-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/A5123192704","display_name":"Timur Lale","orcid":null},"institutions":[{"id":"https://openalex.org/I32481161","display_name":"Batman University","ror":"https://ror.org/051tsqh55","country_code":"TR","type":"education","lineage":["https://openalex.org/I32481161"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Timur Lale","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Batman University, Batman, 72100, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6958-5057","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Batman University, Batman, 72100, Turkey","institution_ids":["https://openalex.org/I32481161"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123227907","display_name":"G\u00f6khan Y\u00fcksek","orcid":null},"institutions":[{"id":"https://openalex.org/I32481161","display_name":"Batman University","ror":"https://ror.org/051tsqh55","country_code":"TR","type":"education","lineage":["https://openalex.org/I32481161"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"G\u00f6khan Y\u00fcksek","raw_affiliation_strings":["Department of Electrical and Electronics Engineering, Batman University, Batman, 72100, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-6832-8622","affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronics Engineering, Batman University, Batman, 72100, Turkey","institution_ids":["https://openalex.org/I32481161"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050669633","display_name":"R\u0131dvan F\u0131rat \u00c7\u0131nar","orcid":"https://orcid.org/0000-0002-0904-2165"},"institutions":[{"id":"https://openalex.org/I32481161","display_name":"Batman University","ror":"https://ror.org/051tsqh55","country_code":"TR","type":"education","lineage":["https://openalex.org/I32481161"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"R\u0131dvan F\u0131rat \u00c7\u0131nar","raw_affiliation_strings":["Department of Computer Engineering, Batman University, Batman, 72100, Turkey"],"raw_orcid":"https://orcid.org/0000-0002-0904-2165","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering, Batman University, Batman, 72100, Turkey","institution_ids":["https://openalex.org/I32481161"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5123192704"],"corresponding_institution_ids":["https://openalex.org/I32481161"],"apc_list":{"value":2190,"currency":"EUR","value_usd":2790},"apc_paid":null,"fwci":421.9608,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.99988382,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":99,"max":100},"biblio":{"volume":"29","issue":"2","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.7233999967575073,"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":0.7233999967575073,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.04919999837875366,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14413","display_name":"Advanced Technologies in Various Fields","score":0.02800000086426735,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/hyperparameter","display_name":"Hyperparameter","score":0.868399977684021},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6492999792098999},{"id":"https://openalex.org/keywords/hyperparameter-optimization","display_name":"Hyperparameter optimization","score":0.614300012588501},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.5770999789237976},{"id":"https://openalex.org/keywords/dropout","display_name":"Dropout (neural networks)","score":0.5654000043869019},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4968999922275543},{"id":"https://openalex.org/keywords/metaheuristic","display_name":"Metaheuristic","score":0.4235000014305115},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.41609999537467957},{"id":"https://openalex.org/keywords/heuristic","display_name":"Heuristic","score":0.40849998593330383}],"concepts":[{"id":"https://openalex.org/C8642999","wikidata":"https://www.wikidata.org/wiki/Q4171168","display_name":"Hyperparameter","level":2,"score":0.868399977684021},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8579000234603882},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6588000059127808},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6492999792098999},{"id":"https://openalex.org/C10485038","wikidata":"https://www.wikidata.org/wiki/Q48996162","display_name":"Hyperparameter optimization","level":3,"score":0.614300012588501},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.5770999789237976},{"id":"https://openalex.org/C2776145597","wikidata":"https://www.wikidata.org/wiki/Q25339462","display_name":"Dropout (neural networks)","level":2,"score":0.5654000043869019},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5443000197410583},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4968999922275543},{"id":"https://openalex.org/C109718341","wikidata":"https://www.wikidata.org/wiki/Q1385229","display_name":"Metaheuristic","level":2,"score":0.4235000014305115},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.41609999537467957},{"id":"https://openalex.org/C173801870","wikidata":"https://www.wikidata.org/wiki/Q201413","display_name":"Heuristic","level":2,"score":0.40849998593330383},{"id":"https://openalex.org/C74193536","wikidata":"https://www.wikidata.org/wiki/Q574844","display_name":"Kernel (algebra)","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3628999888896942},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.35190001130104065},{"id":"https://openalex.org/C206041023","wikidata":"https://www.wikidata.org/wiki/Q1751970","display_name":"Wilcoxon signed-rank test","level":3,"score":0.34940001368522644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34929999709129333},{"id":"https://openalex.org/C2778049539","wikidata":"https://www.wikidata.org/wiki/Q17002908","display_name":"Bayesian optimization","level":2,"score":0.3458000123500824},{"id":"https://openalex.org/C97385483","wikidata":"https://www.wikidata.org/wiki/Q16954980","display_name":"Deep belief network","level":3,"score":0.33730000257492065},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.3118000030517578},{"id":"https://openalex.org/C204323151","wikidata":"https://www.wikidata.org/wiki/Q905424","display_name":"Range (aeronautics)","level":2,"score":0.3052999973297119},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.302700012922287},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.29989999532699585},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.2867000102996826},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.2630000114440918}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10586-025-05892-y","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10586-025-05892-y","pdf_url":null,"source":{"id":"https://openalex.org/S106148199","display_name":"Cluster Computing","issn_l":"1386-7857","issn":["1386-7857","1573-7543"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Cluster Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","score":0.5793153047561646,"display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2061438946","https://openalex.org/W2158963591","https://openalex.org/W2290883490","https://openalex.org/W2345827752","https://openalex.org/W2515502085","https://openalex.org/W2551011523","https://openalex.org/W2553852618","https://openalex.org/W2571359466","https://openalex.org/W2767768852","https://openalex.org/W2770073247","https://openalex.org/W2778726590","https://openalex.org/W2782513934","https://openalex.org/W2795340004","https://openalex.org/W2905810301","https://openalex.org/W2934399013","https://openalex.org/W2967039041","https://openalex.org/W3007212997","https://openalex.org/W3090507198","https://openalex.org/W3092302756","https://openalex.org/W3113178943","https://openalex.org/W3119051141","https://openalex.org/W3203616261","https://openalex.org/W4214817333","https://openalex.org/W4221059823","https://openalex.org/W4224317767","https://openalex.org/W4225586937","https://openalex.org/W4310858798","https://openalex.org/W4317212880","https://openalex.org/W4320487090","https://openalex.org/W4388331658","https://openalex.org/W4389395442","https://openalex.org/W4391821278","https://openalex.org/W4392129349","https://openalex.org/W4393034803","https://openalex.org/W4393081195","https://openalex.org/W4398225251","https://openalex.org/W4400416066","https://openalex.org/W4405073114","https://openalex.org/W4407633889"],"related_works":[],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":5}],"updated_date":"2026-05-02T08:42:23.175194","created_date":"2026-01-17T00:00:00"}