{"id":"https://openalex.org/W4294691580","doi":"https://doi.org/10.1109/access.2022.3203400","title":"An Enhanced Binary Multiobjective Hybrid Filter-Wrapper Chimp Optimization Based Feature Selection Method for COVID-19 Patient Health Prediction","display_name":"An Enhanced Binary Multiobjective Hybrid Filter-Wrapper Chimp Optimization Based Feature Selection Method for COVID-19 Patient Health Prediction","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4294691580","doi":"https://doi.org/10.1109/access.2022.3203400"},"language":"en","primary_location":{"id":"doi:10.1109/access.2022.3203400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3203400","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09877848.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09877848.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037359050","display_name":"Jayashree Piri","orcid":"https://orcid.org/0000-0003-0360-0426"},"institutions":[{"id":"https://openalex.org/I4210097016","display_name":"International Institute of Information Technology","ror":"https://ror.org/00qryer39","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210097016"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Jayashree Piri","raw_affiliation_strings":["Department of CSE, International Institute of Information Technology Bhubaneswar, Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0003-0360-0426","affiliations":[{"raw_affiliation_string":"Department of CSE, International Institute of Information Technology Bhubaneswar, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210097016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042253646","display_name":"Puspanjali Mohapatra","orcid":"https://orcid.org/0000-0002-1718-1640"},"institutions":[{"id":"https://openalex.org/I4210097016","display_name":"International Institute of Information Technology","ror":"https://ror.org/00qryer39","country_code":"IN","type":"education","lineage":["https://openalex.org/I4210097016"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Puspanjali Mohapatra","raw_affiliation_strings":["Department of CSE, International Institute of Information Technology Bhubaneswar, Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0002-1718-1640","affiliations":[{"raw_affiliation_string":"Department of CSE, International Institute of Information Technology Bhubaneswar, Bhubaneswar, India","institution_ids":["https://openalex.org/I4210097016"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064797305","display_name":"Harprith Kaur Rajinder Singh","orcid":"https://orcid.org/0000-0002-0337-7909"},"institutions":[{"id":"https://openalex.org/I12649496","display_name":"INTI International University","ror":"https://ror.org/03fj82m46","country_code":"MY","type":"education","lineage":["https://openalex.org/I12649496"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Harprith Kaur Rajinder Singh","raw_affiliation_strings":["Department of Data Science and Information Technology, INTI International University, Nilai, Malaysia"],"raw_orcid":"https://orcid.org/0000-0002-0337-7909","affiliations":[{"raw_affiliation_string":"Department of Data Science and Information Technology, INTI International University, Nilai, Malaysia","institution_ids":["https://openalex.org/I12649496"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031377837","display_name":"Biswaranjan Acharya","orcid":"https://orcid.org/0000-0002-6506-9207"},"institutions":[{"id":"https://openalex.org/I3132999081","display_name":"Marwadi University","ror":"https://ror.org/030dn1812","country_code":"IN","type":"education","lineage":["https://openalex.org/I3132999081"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Biswaranjan Acharya","raw_affiliation_strings":["Department of Computer Engineering-AI, Marwadi University, Rajkot, Gujarat, India"],"raw_orcid":"https://orcid.org/0000-0002-6506-9207","affiliations":[{"raw_affiliation_string":"Department of Computer Engineering-AI, Marwadi University, Rajkot, Gujarat, India","institution_ids":["https://openalex.org/I3132999081"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067088218","display_name":"Tapas Kumar Patra","orcid":"https://orcid.org/0000-0002-7293-9733"},"institutions":[{"id":"https://openalex.org/I4400600923","display_name":"Odisha University of Technology and Research","ror":"https://ror.org/031jmyr19","country_code":null,"type":"education","lineage":["https://openalex.org/I4400600923"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Tapas Kumar Patra","raw_affiliation_strings":["Department of Electronics and Instrumentation Engineering, Odisha University of Technology and Research, Bhubaneswar, India"],"raw_orcid":"https://orcid.org/0000-0002-7293-9733","affiliations":[{"raw_affiliation_string":"Department of Electronics and Instrumentation Engineering, Odisha University of Technology and Research, Bhubaneswar, India","institution_ids":["https://openalex.org/I4400600923"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":1.5614,"has_fulltext":true,"cited_by_count":14,"citation_normalized_percentile":{"value":0.82014012,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"10","issue":null,"first_page":"100376","last_page":"100396"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T11775","display_name":"COVID-19 diagnosis using AI","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10100","display_name":"Metaheuristic Optimization Algorithms Research","score":0.992900013923645,"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/T10410","display_name":"COVID-19 epidemiological studies","score":0.9861000180244446,"subfield":{"id":"https://openalex.org/subfields/2611","display_name":"Modeling and Simulation"},"field":{"id":"https://openalex.org/fields/26","display_name":"Mathematics"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7249824404716492},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6497713327407837},{"id":"https://openalex.org/keywords/filter","display_name":"Filter (signal processing)","score":0.5690693855285645},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.553648829460144},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5298908352851868},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.5190961360931396},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.5060004591941833},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4869266748428345},{"id":"https://openalex.org/keywords/coronavirus-disease-2019","display_name":"Coronavirus disease 2019 (COVID-19)","score":0.4781123995780945},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4745897948741913},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4336169958114624},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4200384318828583},{"id":"https://openalex.org/keywords/curse-of-dimensionality","display_name":"Curse of dimensionality","score":0.4130586087703705},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.41286394000053406},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3873433470726013},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33656251430511475},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.23283100128173828},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.07825139164924622},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.07070976495742798},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.07049855589866638}],"concepts":[{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7249824404716492},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6497713327407837},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.5690693855285645},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.553648829460144},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5298908352851868},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.5190961360931396},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.5060004591941833},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4869266748428345},{"id":"https://openalex.org/C3008058167","wikidata":"https://www.wikidata.org/wiki/Q84263196","display_name":"Coronavirus disease 2019 (COVID-19)","level":4,"score":0.4781123995780945},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4745897948741913},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4336169958114624},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4200384318828583},{"id":"https://openalex.org/C111030470","wikidata":"https://www.wikidata.org/wiki/Q1430460","display_name":"Curse of dimensionality","level":2,"score":0.4130586087703705},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.41286394000053406},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3873433470726013},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33656251430511475},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.23283100128173828},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.07825139164924622},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.07070976495742798},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.07049855589866638},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C524204448","wikidata":"https://www.wikidata.org/wiki/Q788926","display_name":"Infectious disease (medical specialty)","level":3,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2022.3203400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3203400","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09877848.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:53b15d9518b843008a30c13a34f0cc63","is_oa":true,"landing_page_url":"https://doaj.org/article/53b15d9518b843008a30c13a34f0cc63","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,"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":"IEEE Access, Vol 10, Pp 100376-100396 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2022.3203400","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2022.3203400","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/6514899/09877848.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294691580.pdf","grobid_xml":"https://content.openalex.org/works/W4294691580.grobid-xml"},"referenced_works_count":73,"referenced_works":["https://openalex.org/W53564293","https://openalex.org/W1538713840","https://openalex.org/W1607660464","https://openalex.org/W1972208891","https://openalex.org/W2014732030","https://openalex.org/W2019683663","https://openalex.org/W2039667767","https://openalex.org/W2091638274","https://openalex.org/W2114456019","https://openalex.org/W2151554678","https://openalex.org/W2153004548","https://openalex.org/W2165171393","https://openalex.org/W2196983891","https://openalex.org/W2528103328","https://openalex.org/W2736583283","https://openalex.org/W2746914601","https://openalex.org/W2765508852","https://openalex.org/W2802761309","https://openalex.org/W2883440102","https://openalex.org/W2885770227","https://openalex.org/W2892079407","https://openalex.org/W2905412754","https://openalex.org/W2909568655","https://openalex.org/W2919979744","https://openalex.org/W2924610876","https://openalex.org/W2942060393","https://openalex.org/W2950731991","https://openalex.org/W2964927547","https://openalex.org/W2977905330","https://openalex.org/W2979370854","https://openalex.org/W2991234881","https://openalex.org/W2991490332","https://openalex.org/W2996850699","https://openalex.org/W2997282513","https://openalex.org/W3001216822","https://openalex.org/W3006097138","https://openalex.org/W3007040893","https://openalex.org/W3009325618","https://openalex.org/W3013632036","https://openalex.org/W3015353830","https://openalex.org/W3016544281","https://openalex.org/W3020025139","https://openalex.org/W3025826476","https://openalex.org/W3033046285","https://openalex.org/W3036044602","https://openalex.org/W3038780555","https://openalex.org/W3041463877","https://openalex.org/W3047250006","https://openalex.org/W3081925433","https://openalex.org/W3084017646","https://openalex.org/W3087000505","https://openalex.org/W3087224093","https://openalex.org/W3091723385","https://openalex.org/W3091988152","https://openalex.org/W3096229121","https://openalex.org/W3131836387","https://openalex.org/W3133482888","https://openalex.org/W3135435311","https://openalex.org/W3147468181","https://openalex.org/W3167375140","https://openalex.org/W3170484221","https://openalex.org/W3171003012","https://openalex.org/W3183483061","https://openalex.org/W3196141744","https://openalex.org/W3199075348","https://openalex.org/W3199967553","https://openalex.org/W3202199433","https://openalex.org/W3204109827","https://openalex.org/W3207849004","https://openalex.org/W3207993568","https://openalex.org/W4205873402","https://openalex.org/W4206105705","https://openalex.org/W6798435876"],"related_works":["https://openalex.org/W4296209631","https://openalex.org/W2561617217","https://openalex.org/W4294811468","https://openalex.org/W2355801475","https://openalex.org/W4206659427","https://openalex.org/W2170062176","https://openalex.org/W2148135840","https://openalex.org/W106004901","https://openalex.org/W2973622563","https://openalex.org/W4281664374"],"abstract_inverted_index":{"This":[0,85],"work":[1],"aims":[2],"to":[3,8,57,145,174,183,212,227,232],"discover":[4],"the":[5,10,59,97,104,113,120,136,142,147,153,161,170,190,194,205,234],"relevant":[6],"factors":[7],"predict":[9,233],"health":[11,235],"condition":[12,236],"of":[13,61,99,196,204,237],"COVID-19":[14,230,238],"patients":[15],"by":[16,134,209],"employing":[17],"a":[18,36,124,126],"fresh":[19],"and":[20,101,151,185,188,199],"enhanced":[21],"binary":[22,90],"multi-objective":[23,91],"hybrid":[24,180],"filter-wrapper":[25],"chimp":[26,92],"optimization":[27,93],"(EBMOChOA-FW)":[28],"based":[29,95],"feature":[30],"selection":[31],"(FS)":[32],"approach.":[33],"FS":[34,105],"is":[35,131,164,207],"preprocessing":[37],"approach":[38],"that":[39],"has":[40],"been":[41],"highly":[42],"fruitful":[43],"in":[44,160,193],"medical":[45],"applications,":[46],"as":[47,77],"it":[48,211],"not":[49],"only":[50],"reduces":[51],"dimensionality":[52],"but":[53,68],"also":[54],"allows":[55],"us":[56],"understand":[58],"origins":[60],"an":[62,88,176],"illness.":[63],"Wrappers":[64],"are":[65,75,82,225],"computationally":[66],"expensive":[67],"have":[69],"excellent":[70],"classification":[71],"performance,":[72],"whereas":[73],"filters":[74],"recognized":[76],"quick":[78],"techniques,":[79],"although":[80],"they":[81],"less":[83],"accurate.":[84],"study":[86],"presents":[87],"advanced":[89],"method":[94],"on":[96,217],"hybridization":[98],"filter":[100],"wrapper":[102],"for":[103],"task":[106],"using":[107,172],"two":[108],"archives.":[109],"In":[110],"exceptional":[111],"instances,":[112],"initial":[114],"ChOA":[115,128,144,162],"version":[116],"becomes":[117],"stuck":[118],"at":[119],"local":[121],"optima.":[122],"As":[123],"result,":[125],"novel":[127],"termed":[129],"EBMOChOA":[130],"developed":[132],"here":[133],"integrating":[135],"Harris":[137],"Hawk":[138],"Optimization":[139],"(HHO)":[140],"into":[141,166],"original":[143],"improve":[146],"optimizer\u2019s":[148],"search":[149,191],"capabilities":[150],"broaden":[152],"usage":[154],"sectors.":[155],"The":[156,202],"location":[157],"change":[158],"step":[159],"optimizer":[163],"separated":[165],"three":[167,228],"parts:":[168],"modifying":[169],"population":[171],"HHO":[173],"produce":[175],"HHO-based":[177,184],"population;":[178],"creating":[179],"entities":[181],"according":[182],"ChOA-based":[186],"individuals;":[187],"altering":[189],"agent":[192],"light":[195],"greedy":[197],"technique":[198],"ChOA\u2019s":[200],"tools.":[201],"effectiveness":[203],"EBMOChOA-FW":[206],"proven":[208],"comparing":[210],"five":[213],"other":[214],"well-known":[215],"algorithms":[216],"nine":[218],"different":[219],"benchmark":[220],"datasets.":[221],"Then":[222],"its":[223],"strengths":[224],"applied":[226],"real-world":[229],"datasets":[231],"patients.":[239]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}