{"id":"https://openalex.org/W4390692602","doi":"https://doi.org/10.1007/s00521-023-09379-y","title":"Classification of anemia using Harris hawks optimization method and multivariate adaptive regression spline","display_name":"Classification of anemia using Harris hawks optimization method and multivariate adaptive regression spline","publication_year":2024,"publication_date":"2024-01-10","ids":{"openalex":"https://openalex.org/W4390692602","doi":"https://doi.org/10.1007/s00521-023-09379-y"},"language":"en","primary_location":{"id":"doi:10.1007/s00521-023-09379-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-09379-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09379-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09379-y.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082638377","display_name":"Nagihan Ya\u011fmur","orcid":"https://orcid.org/0000-0002-6407-4338"},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":true,"raw_author_name":"Nagihan Yagmur","raw_affiliation_strings":["M\u00fchendislik Mimarl\u0131k Fak\u00fcltesi, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, Turkey"],"affiliations":[{"raw_affiliation_string":"M\u00fchendislik Mimarl\u0131k Fak\u00fcltesi, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112004328","display_name":"\u0130diris Da\u011f","orcid":null},"institutions":[{"id":"https://openalex.org/I51209816","display_name":"Eski\u015fehir Osmangazi University","ror":"https://ror.org/01dzjez04","country_code":"TR","type":"education","lineage":["https://openalex.org/I51209816"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"\u0130diris Dag","raw_affiliation_strings":["M\u00fchendislik Mimarl\u0131k Fak\u00fcltesi, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, Turkey"],"affiliations":[{"raw_affiliation_string":"M\u00fchendislik Mimarl\u0131k Fak\u00fcltesi, Eski\u015fehir Osmangazi \u00dcniversitesi, Eski\u015fehir, Turkey","institution_ids":["https://openalex.org/I51209816"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015015050","display_name":"Hasan Temurta\u015f","orcid":"https://orcid.org/0000-0001-6738-3024"},"institutions":[{"id":"https://openalex.org/I3018710136","display_name":"Dumlupinar University","ror":"https://ror.org/03jtrja12","country_code":"TR","type":"education","lineage":["https://openalex.org/I3018710136"]}],"countries":["TR"],"is_corresponding":false,"raw_author_name":"Hasan Temurtas","raw_affiliation_strings":["M\u00fchendislik Fak\u00fcltesi, K\u00fctahya Dumlup\u0131nar \u00dcniversitesi, K\u00fctahya, Turkey"],"affiliations":[{"raw_affiliation_string":"M\u00fchendislik Fak\u00fcltesi, K\u00fctahya Dumlup\u0131nar \u00dcniversitesi, K\u00fctahya, Turkey","institution_ids":["https://openalex.org/I3018710136"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5082638377"],"corresponding_institution_ids":["https://openalex.org/I51209816"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":{"value":2390,"currency":"EUR","value_usd":2990},"fwci":2.5554,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.89976549,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":"36","issue":"11","first_page":"5653","last_page":"5672"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9961000084877014,"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"}},"topics":[{"id":"https://openalex.org/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9961000084877014,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9907000064849854,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9902999997138977,"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/multivariate-adaptive-regression-splines","display_name":"Multivariate adaptive regression splines","score":0.9109805822372437},{"id":"https://openalex.org/keywords/mars-exploration-program","display_name":"Mars Exploration Program","score":0.7740991115570068},{"id":"https://openalex.org/keywords/multilinear-map","display_name":"Multilinear map","score":0.7455862164497375},{"id":"https://openalex.org/keywords/multivariate-statistics","display_name":"Multivariate statistics","score":0.7039800882339478},{"id":"https://openalex.org/keywords/spline","display_name":"Spline (mechanical)","score":0.597563624382019},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5882429480552673},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.573411762714386},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.5090265274047852},{"id":"https://openalex.org/keywords/anemia","display_name":"Anemia","score":0.46398451924324036},{"id":"https://openalex.org/keywords/quadratic-equation","display_name":"Quadratic equation","score":0.4422532618045807},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.42659521102905273},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4003804624080658},{"id":"https://openalex.org/keywords/bayesian-multivariate-linear-regression","display_name":"Bayesian multivariate linear regression","score":0.3961539566516876},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.3614690899848938},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3035082221031189},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2824462652206421},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2656208872795105},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20500323176383972},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.106782466173172}],"concepts":[{"id":"https://openalex.org/C44882253","wikidata":"https://www.wikidata.org/wiki/Q3455882","display_name":"Multivariate adaptive regression splines","level":4,"score":0.9109805822372437},{"id":"https://openalex.org/C83260615","wikidata":"https://www.wikidata.org/wiki/Q6773121","display_name":"Mars Exploration Program","level":2,"score":0.7740991115570068},{"id":"https://openalex.org/C84392682","wikidata":"https://www.wikidata.org/wiki/Q1952404","display_name":"Multilinear map","level":2,"score":0.7455862164497375},{"id":"https://openalex.org/C161584116","wikidata":"https://www.wikidata.org/wiki/Q1952580","display_name":"Multivariate statistics","level":2,"score":0.7039800882339478},{"id":"https://openalex.org/C10390562","wikidata":"https://www.wikidata.org/wiki/Q581809","display_name":"Spline (mechanical)","level":2,"score":0.597563624382019},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5882429480552673},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.573411762714386},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.5090265274047852},{"id":"https://openalex.org/C2778248108","wikidata":"https://www.wikidata.org/wiki/Q5445","display_name":"Anemia","level":2,"score":0.46398451924324036},{"id":"https://openalex.org/C129844170","wikidata":"https://www.wikidata.org/wiki/Q41299","display_name":"Quadratic equation","level":2,"score":0.4422532618045807},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.42659521102905273},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4003804624080658},{"id":"https://openalex.org/C64946054","wikidata":"https://www.wikidata.org/wiki/Q4874476","display_name":"Bayesian multivariate linear regression","level":3,"score":0.3961539566516876},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.3614690899848938},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3035082221031189},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2824462652206421},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2656208872795105},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20500323176383972},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.106782466173172},{"id":"https://openalex.org/C66938386","wikidata":"https://www.wikidata.org/wiki/Q633538","display_name":"Structural engineering","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s00521-023-09379-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-09379-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09379-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.1007/s00521-023-09379-y","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s00521-023-09379-y","pdf_url":"https://link.springer.com/content/pdf/10.1007/s00521-023-09379-y.pdf","source":{"id":"https://openalex.org/S147897268","display_name":"Neural Computing and Applications","issn_l":"0941-0643","issn":["0941-0643","1433-3058"],"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Neural Computing and Applications","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320323691","display_name":"Eski\u015fehir Osmangazi \u00dcniversitesi","ror":"https://ror.org/01dzjez04"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4390692602.pdf"},"referenced_works_count":51,"referenced_works":["https://openalex.org/W124405788","https://openalex.org/W1765359963","https://openalex.org/W1966326965","https://openalex.org/W2033982782","https://openalex.org/W2034317530","https://openalex.org/W2041976578","https://openalex.org/W2064939904","https://openalex.org/W2079589085","https://openalex.org/W2082508905","https://openalex.org/W2087476857","https://openalex.org/W2104960492","https://openalex.org/W2140102659","https://openalex.org/W2143155680","https://openalex.org/W2143730236","https://openalex.org/W2462401346","https://openalex.org/W2536008880","https://openalex.org/W2618999993","https://openalex.org/W2729385620","https://openalex.org/W2743094963","https://openalex.org/W2770156338","https://openalex.org/W2799949160","https://openalex.org/W2807027008","https://openalex.org/W2889024616","https://openalex.org/W2904782971","https://openalex.org/W2914033837","https://openalex.org/W2919979744","https://openalex.org/W2921907376","https://openalex.org/W2945322985","https://openalex.org/W2946020082","https://openalex.org/W2964480609","https://openalex.org/W2965647294","https://openalex.org/W2969647557","https://openalex.org/W2974573017","https://openalex.org/W2985142719","https://openalex.org/W2992177290","https://openalex.org/W2995098893","https://openalex.org/W3028480794","https://openalex.org/W3090132388","https://openalex.org/W3092439297","https://openalex.org/W3127287554","https://openalex.org/W3134994883","https://openalex.org/W3181251094","https://openalex.org/W3198900476","https://openalex.org/W4206352673","https://openalex.org/W4207011256","https://openalex.org/W4221059721","https://openalex.org/W4281772828","https://openalex.org/W4285105741","https://openalex.org/W4296218719","https://openalex.org/W4385345713","https://openalex.org/W6601795639"],"related_works":["https://openalex.org/W2003087713","https://openalex.org/W2055800560","https://openalex.org/W2185815019","https://openalex.org/W2186535538","https://openalex.org/W3006349334","https://openalex.org/W2122127011","https://openalex.org/W2074089485","https://openalex.org/W4320843431","https://openalex.org/W1991715599","https://openalex.org/W2797811495"],"abstract_inverted_index":{"Abstract":[0],"Data":[1],"mining":[2],"methods":[3,25],"are":[4],"important":[5],"for":[6,21],"the":[7,30,38,68,74,93,109,112,135,143,156,160],"diagnosis":[8,16],"and":[9,14,51,53,73,99,134,150],"prediction":[10],"of":[11,17,41,56,89,96,111,142],"diseases.":[12],"Early":[13],"accurate":[15],"patients":[18,91,97],"is":[19],"vital":[20],"their":[22],"treatment.":[23],"Various":[24],"have":[26],"been":[27,148],"used":[28,81],"in":[29,45,159],"literature":[31],"to":[32,37,63,82,107,152],"classify":[33,83],"anemia.":[34,101],"However,":[35],"due":[36],"different":[39,48,54,103],"characteristics":[40],"patient":[42,57],"datasets,":[43],"changes":[44],"dataset":[46],"sizes,":[47],"parameter":[49],"numbers":[50,55],"features,":[52],"records,":[58],"algorithm":[59,71],"performances":[60],"vary":[61],"according":[62],"datasets.":[64],"In":[65],"this":[66],"study,":[67],"Harris":[69],"hawks":[70],"(HHA)":[72],"multivariate":[75],"adaptive":[76],"regression":[77],"spline":[78],"(MARS)":[79],"were":[80,105],"anemia":[84,114],"based":[85],"on":[86],"blood":[87],"data":[88],"1732":[90],"from":[92],"Kaggle":[94],"database":[95],"with":[98],"without":[100],"Six":[102],"algorithms":[104,146],"proposed":[106,145],"determine":[108],"parameters":[110],"linear":[113],"approximation,":[115],"namely":[116],"multilinear":[117,120,124],"form":[118,122,126],"HHA,":[119,123,127],"quadratic":[121],"exponential":[125],"first-order":[128],"MARS":[129,132,138],"model,":[130,133],"second-order":[131],"best":[136],"performing":[137],"model.":[139],"The":[140],"performance":[141],"six":[144],"has":[147],"analyzed":[149],"found":[151],"be":[153],"better":[154],"than":[155],"previous":[157],"studies":[158],"literature.":[161]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":4}],"updated_date":"2026-01-20T17:24:06.736184","created_date":"2025-10-10T00:00:00"}
