{"id":"https://openalex.org/W4285173424","doi":"https://doi.org/10.1515/jisys-2022-0028","title":"A hybrid particle swarm optimization with multi-objective clustering for dermatologic diseases diagnosis","display_name":"A hybrid particle swarm optimization with multi-objective clustering for dermatologic diseases diagnosis","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4285173424","doi":"https://doi.org/10.1515/jisys-2022-0028"},"language":"en","primary_location":{"id":"doi:10.1515/jisys-2022-0028","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0028","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0028/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0028/pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072468505","display_name":"Ravinder Reddy Baireddy","orcid":"https://orcid.org/0000-0003-1491-9918"},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Ravinder Reddy Baireddy","raw_affiliation_strings":["Department of ISE, Bangalore Institute of Technology , Bangalore , Karnataka , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ISE, Bangalore Institute of Technology , Bangalore , Karnataka , India","institution_ids":["https://openalex.org/I181514455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038001339","display_name":"R. Nagaraja","orcid":null},"institutions":[{"id":"https://openalex.org/I181514455","display_name":"International Institute of Information Technology Bangalore","ror":"https://ror.org/05h9eqy10","country_code":"IN","type":"education","lineage":["https://openalex.org/I181514455"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R. Nagaraja","raw_affiliation_strings":["Department of ISE, Bangalore Institute of Technology , Bangalore , Karnataka , India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of ISE, Bangalore Institute of Technology , Bangalore , Karnataka , India","institution_ids":["https://openalex.org/I181514455"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5072468505"],"corresponding_institution_ids":["https://openalex.org/I181514455"],"apc_list":{"value":1000,"currency":"EUR","value_usd":1078},"apc_paid":{"value":1000,"currency":"EUR","value_usd":1078},"fwci":0.1402,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.45778146,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"31","issue":"1","first_page":"876","last_page":"890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10877","display_name":"Allergic Rhinitis and Sensitization","score":0.9546999931335449,"subfield":{"id":"https://openalex.org/subfields/2723","display_name":"Immunology and Allergy"},"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/T10877","display_name":"Allergic Rhinitis and Sensitization","score":0.9546999931335449,"subfield":{"id":"https://openalex.org/subfields/2723","display_name":"Immunology and Allergy"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/particle-swarm-optimization","display_name":"Particle swarm optimization","score":0.8143827319145203},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7911986112594604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.67843097448349},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5583399534225464},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.5246860384941101},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43919622898101807},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.435375839471817},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4253954291343689},{"id":"https://openalex.org/keywords/swarm-behaviour","display_name":"Swarm behaviour","score":0.4248011112213135}],"concepts":[{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.8143827319145203},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7911986112594604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.67843097448349},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5583399534225464},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.5246860384941101},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43919622898101807},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.435375839471817},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4253954291343689},{"id":"https://openalex.org/C181335050","wikidata":"https://www.wikidata.org/wiki/Q14915018","display_name":"Swarm behaviour","level":2,"score":0.4248011112213135},{"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:10.1515/jisys-2022-0028","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0028","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0028/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:eaac045754024fe7aec6c12acaec6a75","is_oa":true,"landing_page_url":"https://doaj.org/article/eaac045754024fe7aec6c12acaec6a75","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":"Journal of Intelligent Systems, Vol 31, Iss 1, Pp 876-890 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1515/jisys-2022-0028","is_oa":true,"landing_page_url":"https://doi.org/10.1515/jisys-2022-0028","pdf_url":"https://www.degruyter.com/document/doi/10.1515/jisys-2022-0028/pdf","source":{"id":"https://openalex.org/S2764846071","display_name":"Journal of Intelligent Systems","issn_l":"0334-1860","issn":["0334-1860","2191-026X"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310315148","host_organization_name":"IlmuKomputer.Com","host_organization_lineage":["https://openalex.org/P4310315148"],"host_organization_lineage_names":["IlmuKomputer.Com"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.5199999809265137,"display_name":"No poverty"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4285173424.pdf","grobid_xml":"https://content.openalex.org/works/W4285173424.grobid-xml"},"referenced_works_count":26,"referenced_works":["https://openalex.org/W883434633","https://openalex.org/W1786686177","https://openalex.org/W2118427059","https://openalex.org/W2529449873","https://openalex.org/W2532790315","https://openalex.org/W2553596529","https://openalex.org/W2593873773","https://openalex.org/W2607873404","https://openalex.org/W2610895543","https://openalex.org/W2740243983","https://openalex.org/W2791121032","https://openalex.org/W2792501983","https://openalex.org/W2797700545","https://openalex.org/W2899439071","https://openalex.org/W2903784948","https://openalex.org/W2955224916","https://openalex.org/W2960187325","https://openalex.org/W2966570680","https://openalex.org/W2999716169","https://openalex.org/W3005021926","https://openalex.org/W3014983221","https://openalex.org/W3046634781","https://openalex.org/W3128242404","https://openalex.org/W3175031205","https://openalex.org/W3196062297","https://openalex.org/W4251471477"],"related_works":["https://openalex.org/W4288714711","https://openalex.org/W3200708550","https://openalex.org/W2736680465","https://openalex.org/W2771637876","https://openalex.org/W4294093918","https://openalex.org/W4240853094","https://openalex.org/W2810496283","https://openalex.org/W2170656329","https://openalex.org/W3131977017","https://openalex.org/W3205823858"],"abstract_inverted_index":{"Abstract":[0],"Effective":[1],"and":[2,66,101,148,167],"personalized":[3],"treatment":[4],"relies":[5],"heavily":[6],"on":[7,40],"skin":[8,15,47],"disease":[9],"categorization.":[10],"In":[11],"the":[12,22,44,77,88,118,161,176,181,187,191,201,212,217],"stratification":[13,45],"of":[14,24,46,64,79,90,130,211],"disorders,":[16],"it":[17,122],"is":[18,97,107,123,141,153],"crucial":[19],"to":[20,26,70,99,126,179,199],"identify":[21,180],"subtypes":[23],"illnesses":[25],"provide":[27],"an":[28,209],"efficient":[29],"therapy.":[30],"To":[31],"attain":[32],"this":[33],"aim,":[34],"researchers":[35],"have":[36,55],"focused":[37],"their":[38],"attention":[39],"cluster":[41,53,134,157,183,218],"algorithms":[42,54],"for":[43,103,137,184],"disorders":[48],"in":[49,74,87,117],"recent":[50],"decades.":[51],"But,":[52],"real-world":[56],"drawbacks,":[57],"including":[58,160],"experimental":[59],"noises,":[60],"a":[61,67,82,108,144],"large":[62],"number":[63],"dimensions,":[65],"poor":[68],"ability":[69],"comprehend.":[71],"Cluster":[72],"algorithms,":[73],"particular,":[75],"determine":[76],"quality":[78],"clusters":[80],"using":[81,143,216],"single":[83,93],"internal":[84,94],"evaluation":[85,210,219],"operation":[86],"majority":[89],"cases.":[91],"A":[92],"assessment":[95],"procedure":[96],"difficult":[98],"design":[100],"robust":[102],"all":[104,128],"datasets,":[105],"which":[106],"problem.":[109],"The":[110],"multi-objective":[111,177],"particle":[112,146],"swarm":[113,147],"obtained":[114],"high":[115],"sensitivity":[116],"existing":[119],"work,":[120],"but":[121],"not":[124],"able":[125],"anticipate":[127],"kinds":[129],"classes.":[131],"An":[132],"optimized":[133],"distance":[135],"parameter":[136],"K":[138,162],"-means":[139,163],"clustering":[140,164],"determined":[142],"hybrid":[145],"moth":[149],"flame":[150],"optimization.":[151],"Multi-objective":[152],"guided":[154],"by":[155,208],"two":[156],"value":[158],"indices,":[159],"misclassification":[165],"rate":[166],"neural":[168],"network":[169],"classification":[170],"rate.":[171],"Hybrid":[172],"PSO":[173],"will":[174,196,205],"solve":[175],"problem":[178],"optimal":[182],"clustering.":[185],"On":[186],"dermatological":[188],"dataset":[189],"from":[190],"UCI":[192],"repository,":[193],"MATLAB":[194],"R2020a":[195],"be":[197,206],"used":[198],"evaluate":[200],"proposed":[202,213],"method.":[203],"This":[204],"followed":[207],"method\u2019s":[214],"performance":[215],"indices.":[220]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2022-07-14T00:00:00"}
