{"id":"https://openalex.org/W4388654367","doi":"https://doi.org/10.3390/diagnostics13223441","title":"Predicting Thalassemia Using Feature Selection Techniques: A Comparative Analysis","display_name":"Predicting Thalassemia Using Feature Selection Techniques: A Comparative Analysis","publication_year":2023,"publication_date":"2023-11-14","ids":{"openalex":"https://openalex.org/W4388654367","doi":"https://doi.org/10.3390/diagnostics13223441","pmid":"https://pubmed.ncbi.nlm.nih.gov/37998577","pmcid":"https://www.ncbi.nlm.nih.gov/pmc/articles/10670018"},"language":"en","primary_location":{"id":"doi:10.3390/diagnostics13223441","doi":"https://doi.org/10.3390/diagnostics13223441","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics13223441","pdf_url":"https://www.mdpi.com/2075-4418/13/22/3441/pdf?version=1699950839","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"Diagnostics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.mdpi.com/2075-4418/13/22/3441/pdf?version=1699950839","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Muniba Saleem","orcid":"https://orcid.org/0009-0006-0525-0553","observed_orcids":["https://orcid.org/0009-0006-0525-0553"]},"institutions":[{"id":"https://openalex.org/I2800060998","display_name":"Government Sadiq College Women University","ror":"https://ror.org/01zp49f50","country_code":"PK","type":"education","lineage":["https://openalex.org/I2800060998"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muniba Saleem","raw_affiliation_strings":["Department of Computer Science & Information Technology, The Government Sadiq College Women University Bahawalpur, Bahawalpur 63100, Pakistan"],"raw_orcid":"https://orcid.org/0009-0006-0525-0553","affiliations":[{"raw_affiliation_string":"Department of Computer Science & Information Technology, The Government Sadiq College Women University Bahawalpur, Bahawalpur 63100, Pakistan","institution_ids":["https://openalex.org/I2800060998"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077224122","display_name":"Waqar Aslam","orcid":"https://orcid.org/0000-0002-8780-0240","observed_orcids":["https://orcid.org/0000-0002-8780-0240"]},"institutions":[{"id":"https://openalex.org/I174731842","display_name":"Islamia University of Bahawalpur","ror":"https://ror.org/002rc4w13","country_code":"PK","type":"education","lineage":["https://openalex.org/I174731842"]}],"countries":["PK"],"is_corresponding":true,"raw_author_name":"Waqar Aslam","raw_affiliation_strings":["Department of Information Security, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan"],"raw_orcid":"https://orcid.org/0000-0002-8780-0240","affiliations":[{"raw_affiliation_string":"Department of Information Security, The Islamia University of Bahawalpur, Bahawalpur 63100, Pakistan","institution_ids":["https://openalex.org/I174731842"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027030046","display_name":"M. Ikram Ullah Lali","orcid":"https://orcid.org/0000-0003-2208-5853","observed_orcids":["https://orcid.org/0000-0003-2208-5853"]},"institutions":[{"id":"https://openalex.org/I5100685","display_name":"University of Education","ror":"https://ror.org/052z7nw84","country_code":"PK","type":"education","lineage":["https://openalex.org/I5100685"]}],"countries":["PK"],"is_corresponding":false,"raw_author_name":"Muhammad Ikram Ullah Lali","raw_affiliation_strings":["Department of Information Sciences, University of Education Lahore, Lahore 54770, Pakistan"],"raw_orcid":"https://orcid.org/0000-0003-2208-5853","affiliations":[{"raw_affiliation_string":"Department of Information Sciences, University of Education Lahore, Lahore 54770, Pakistan","institution_ids":["https://openalex.org/I5100685"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5070901131","display_name":"Hafiz Tayyab Rauf","orcid":"https://orcid.org/0000-0002-1515-3187","observed_orcids":["https://orcid.org/0000-0002-1515-3187"]},"institutions":[{"id":"https://openalex.org/I198012923","display_name":"University of Staffordshire","ror":"https://ror.org/00d6k8y35","country_code":"GB","type":"education","lineage":["https://openalex.org/I198012923"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hafiz Tayyab Rauf","raw_affiliation_strings":["Centre for Smart Systems, AI and Cybersecurity, Staffordshire University, Stoke-on-Trent ST4 2DE, UK"],"raw_orcid":"https://orcid.org/0000-0002-1515-3187","affiliations":[{"raw_affiliation_string":"Centre for Smart Systems, AI and Cybersecurity, Staffordshire University, Stoke-on-Trent ST4 2DE, UK","institution_ids":["https://openalex.org/I198012923"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088907972","display_name":"Emad Abouel Nasr","orcid":"https://orcid.org/0000-0001-6967-7747","observed_orcids":["https://orcid.org/0000-0001-6967-7747"]},"institutions":[{"id":"https://openalex.org/I28022161","display_name":"King Saud University","ror":"https://ror.org/02f81g417","country_code":"SA","type":"education","lineage":["https://openalex.org/I28022161"]}],"countries":["SA"],"is_corresponding":false,"raw_author_name":"Emad Abouel Nasr","raw_affiliation_strings":["Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia"],"raw_orcid":"https://orcid.org/0000-0001-6967-7747","affiliations":[{"raw_affiliation_string":"Industrial Engineering Department, College of Engineering, King Saud University, Riyadh 11421, Saudi Arabia","institution_ids":["https://openalex.org/I28022161"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5077224122"],"corresponding_institution_ids":["https://openalex.org/I174731842"],"apc_list":{"value":2000,"currency":"CHF","value_usd":2224},"apc_paid":{"value":2000,"currency":"CHF","value_usd":2224},"fwci":5.2832,"has_fulltext":true,"cited_by_count":38,"citation_normalized_percentile":{"value":0.96078972,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"13","issue":"22","first_page":"3441","last_page":"3441"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9175000190734863,"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":0.9175000190734863,"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/T10554","display_name":"Hemoglobinopathies and Related Disorders","score":0.05130000039935112,"subfield":{"id":"https://openalex.org/subfields/2716","display_name":"Genetics (clinical)"},"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/T12874","display_name":"Digital Imaging for Blood Diseases","score":0.010200000368058681,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/thalassemia","display_name":"thalassemia","score":0.9670000076293945},{"id":"https://openalex.org/keywords/feature-selection","display_name":"feature selection","score":0.9599999785423279},{"id":"https://openalex.org/keywords/chi-square-feature-selection","display_name":"chi-square feature selection","score":0.8009999990463257},{"id":"https://openalex.org/keywords/recursive-feature-elimination","display_name":"recursive feature elimination","score":0.9929999709129333},{"id":"https://openalex.org/keywords/smote-oversampling","display_name":"SMOTE oversampling","score":0.703000009059906},{"id":"https://openalex.org/keywords/gradient-boosting-classifier","display_name":"gradient boosting classifier","score":0.765999972820282},{"id":"https://openalex.org/keywords/random-forest","display_name":"random forest","score":0.6959999799728394},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"support vector machine","score":0.6869999766349792},{"id":"https://openalex.org/keywords/k-nearest-neighbors","display_name":"k-nearest neighbors","score":0.7329999804496765},{"id":"https://openalex.org/keywords/decision-tree","display_name":"decision tree","score":0.5360000133514404},{"id":"https://openalex.org/keywords/extreme-gradient-boosting","display_name":"extreme gradient boosting","score":0.6890000104904175},{"id":"https://openalex.org/keywords/lightgbm","display_name":"LightGBM","score":0.9350000023841858},{"id":"https://openalex.org/keywords/alpha-thalassemia","display_name":"alpha-thalassemia","score":0.7559999823570251},{"id":"https://openalex.org/keywords/hemoglobinopathies","display_name":"hemoglobinopathies","score":0.6050000190734863},{"id":"https://openalex.org/keywords/genetic-disorder-diagnosis","display_name":"genetic disorder diagnosis","score":0.45899999141693115}],"concepts":[{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.773762583732605},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7136964797973633},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6795060634613037},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6051552295684814},{"id":"https://openalex.org/C141404830","wikidata":"https://www.wikidata.org/wiki/Q2823869","display_name":"AdaBoost","level":3,"score":0.5545974373817444},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.5535132884979248},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5347347259521484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5306552648544312},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5078995823860168},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4977300465106964},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44654136896133423},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.42256516218185425}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.3390/diagnostics13223441","doi":"https://doi.org/10.3390/diagnostics13223441","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics13223441","pdf_url":"https://www.mdpi.com/2075-4418/13/22/3441/pdf?version=1699950839","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"Diagnostics","raw_type":"journal-article"},{"id":"pmid:37998577","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37998577","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics (Basel, Switzerland)","raw_type":"Journal Article"},{"id":"pmh:oai:pubmedcentral.nih.gov:10670018","doi":null,"is_oa":true,"landing_page_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10670018/","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Diagnostics (Basel)","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:962dd384b5de48ecb7355cce978323f9","doi":null,"is_oa":true,"landing_page_url":"https://doaj.org/article/962dd384b5de48ecb7355cce978323f9","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":"Diagnostics, Vol 13, Iss 22, p 3441 (2023)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.3390/diagnostics13223441","doi":"https://doi.org/10.3390/diagnostics13223441","is_oa":true,"landing_page_url":"https://doi.org/10.3390/diagnostics13223441","pdf_url":"https://www.mdpi.com/2075-4418/13/22/3441/pdf?version=1699950839","source":{"id":"https://openalex.org/S4210172076","display_name":"Diagnostics","issn_l":"2075-4418","issn":["2075-4418"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1","poland-70","russia-white-list-1","vabb-shw"],"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":"Diagnostics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.98580002784729,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G5454572839","display_name":null,"funder_award_id":"RSP 2023R164","funder_id":"https://openalex.org/F4320321145","funder_display_name":"King Saud University"}],"funders":[{"id":"https://openalex.org/F4320321145","display_name":"King Saud University","ror":"https://ror.org/02f81g417"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4388654367.pdf","grobid_xml":"https://content.openalex.org/works/W4388654367.grobid-xml"},"referenced_works_count":83,"referenced_works":["https://openalex.org/W36670911","https://openalex.org/W58261973","https://openalex.org/W1508363294","https://openalex.org/W2053724458","https://openalex.org/W2105229522","https://openalex.org/W2109293916","https://openalex.org/W2109769448","https://openalex.org/W2118978333","https://openalex.org/W2125290890","https://openalex.org/W2147209510","https://openalex.org/W2148143831","https://openalex.org/W2162479834","https://openalex.org/W2167101736","https://openalex.org/W2334028018","https://openalex.org/W2606065510","https://openalex.org/W2802914282","https://openalex.org/W2902207938","https://openalex.org/W2910064959","https://openalex.org/W2944954104","https://openalex.org/W2950191351","https://openalex.org/W2953541089","https://openalex.org/W2955612236","https://openalex.org/W2971878394","https://openalex.org/W2974901572","https://openalex.org/W2982945214","https://openalex.org/W2984187091","https://openalex.org/W2992964808","https://openalex.org/W2994940538","https://openalex.org/W3004363493","https://openalex.org/W3013930300","https://openalex.org/W3018147550","https://openalex.org/W3023714464","https://openalex.org/W3028309985","https://openalex.org/W3034961696","https://openalex.org/W3036080765","https://openalex.org/W3039156183","https://openalex.org/W3082822303","https://openalex.org/W3097287774","https://openalex.org/W3121370147","https://openalex.org/W3123019652","https://openalex.org/W3124854089","https://openalex.org/W3128449883","https://openalex.org/W3132454514","https://openalex.org/W3132793228","https://openalex.org/W3137994415","https://openalex.org/W3143747358","https://openalex.org/W3147572741","https://openalex.org/W3185065208","https://openalex.org/W3187534068","https://openalex.org/W3194030669","https://openalex.org/W3201291511","https://openalex.org/W3208267473","https://openalex.org/W3209743817","https://openalex.org/W3210646921","https://openalex.org/W3213647809","https://openalex.org/W3213823659","https://openalex.org/W4200447300","https://openalex.org/W4200570293","https://openalex.org/W4210721979","https://openalex.org/W4210970197","https://openalex.org/W4211090357","https://openalex.org/W4211214940","https://openalex.org/W4221139564","https://openalex.org/W4223476247","https://openalex.org/W4224132102","https://openalex.org/W4280581048","https://openalex.org/W4281614053","https://openalex.org/W4283028137","https://openalex.org/W4289597580","https://openalex.org/W4293114475","https://openalex.org/W4294723765","https://openalex.org/W4303629093","https://openalex.org/W4303946572","https://openalex.org/W4307264930","https://openalex.org/W4307291891","https://openalex.org/W4308254094","https://openalex.org/W4309495846","https://openalex.org/W4313316025","https://openalex.org/W4318499705","https://openalex.org/W4362584978","https://openalex.org/W4367396889","https://openalex.org/W4368227426","https://openalex.org/W7099161128"],"related_works":["https://openalex.org/W7214346852","https://openalex.org/W4399525976","https://openalex.org/W4412506687","https://openalex.org/W4415376502","https://openalex.org/W7163079846","https://openalex.org/W4396235005","https://openalex.org/W7153218540","https://openalex.org/W4391936545","https://openalex.org/W4309495846","https://openalex.org/W7222594815"],"abstract_inverted_index":{"Thalassemia":[0],"represents":[1],"one":[2,23],"of":[3,22,26,80,90],"the":[4,27,39,49,69,78,88,126,168,186,190,208,215],"most":[5],"common":[6],"genetic":[7],"disorders":[8],"worldwide,":[9],"characterized":[10],"by":[11,52],"defects":[12],"in":[13,38,61],"hemoglobin":[14,40],"synthesis.":[15],"The":[16,170],"affected":[17],"individuals":[18],"suffer":[19],"from":[20],"malfunctioning":[21],"or":[24],"more":[25],"four":[28],"globin":[29],"genes,":[30],"leading":[31],"to":[32,124,166],"chronic":[33],"hemolytic":[34],"anemia,":[35],"an":[36],"imbalance":[37],"chain":[41],"ratio,":[42],"iron":[43],"overload,":[44],"and":[45,64,86,118,159,180,203,225],"ineffective":[46],"erythropoiesis.":[47],"Despite":[48],"challenges":[50],"posed":[51],"this":[53],"condition,":[54],"recent":[55],"years":[56],"have":[57],"witnessed":[58],"significant":[59],"advancements":[60],"diagnosis,":[62],"therapy,":[63],"transfusion":[65],"support,":[66],"significantly":[67],"improving":[68],"prognosis":[70],"for":[71,211],"thalassemia":[72],"patients.":[73,213],"This":[74],"research":[75],"empirically":[76],"evaluates":[77],"efficacy":[79],"models":[81],"constructed":[82],"using":[83,96],"classification":[84],"methods":[85],"explores":[87],"effectiveness":[89],"relevant":[91],"features":[92],"that":[93,193],"are":[94],"derived":[95],"various":[97],"machine-learning":[98],"techniques.":[99],"Five":[100],"feature":[101,128],"selection":[102],"approaches,":[103],"namely":[104,132],"Chi-Square":[105],"(\u03c72),":[106],"Exploratory":[107],"Factor":[108],"Score":[109],"(EFS),":[110],"tree-based":[111],"Recursive":[112],"Feature":[113],"Elimination":[114],"(RFE),":[115],"gradient-based":[116],"RFE,":[117,202],"Linear":[119,143],"Regression":[120,144],"Coefficient,":[121],"were":[122,164],"employed":[123],"determine":[125],"optimal":[127],"set.":[129],"Nine":[130],"classifiers,":[131],"K-Nearest":[133],"Neighbors":[134],"(KNN),":[135],"Decision":[136],"Trees":[137],"(DT),":[138],"Gradient":[139,148,155,216],"Boosting":[140,149,156,217],"Classifier":[141,218],"(GBC),":[142],"(LR),":[145],"AdaBoost,":[146],"Extreme":[147],"(XGB),":[150],"Random":[151],"Forest":[152],"(RF),":[153],"Light":[154],"Machine":[157,162],"(LGBM),":[158],"Support":[160],"Vector":[161],"(SVM),":[163],"utilized":[165],"evaluate":[167],"performance.":[169],"\u03c72":[171],"method":[172],"achieved":[173],"accuracy,":[174,222],"registering":[175],"91.56%":[176],"precision,":[177],"91.04%":[178],"recall,":[179,224],"92.65%":[181],"f-score":[182],"when":[183],"aligned":[184],"with":[185,196],"LR":[187],"classifier.":[188],"Moreover,":[189],"results":[191],"underscore":[192],"amalgamating":[194],"over-sampling":[195],"Synthetic":[197],"Minority":[198],"Over-sampling":[199],"Technique":[200],"(SMOTE),":[201],"10-fold":[204],"cross-validation":[205],"markedly":[206],"elevates":[207],"detection":[209],"accuracy":[210],"\u03b1T":[212],"Notably,":[214],"(GBC)":[219],"achieves":[220],"93.46%":[221],"93.89%":[223],"92.72%":[226],"F1":[227],"score.":[228]},"counts_by_year":[{"year":2026,"cited_by_count":16},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":6}],"updated_date":"2026-11-10T11:39:43.021295","created_date":"2023-11-15T00:00:00"}