{"id":"https://openalex.org/W2796453194","doi":"https://doi.org/10.1109/tcyb.2018.2817480","title":"Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification","display_name":"Evolutionary Multiobjective Clustering and Its Applications to Patient Stratification","publication_year":2018,"publication_date":"2018-04-02","ids":{"openalex":"https://openalex.org/W2796453194","doi":"https://doi.org/10.1109/tcyb.2018.2817480","mag":"2796453194","pmid":"https://pubmed.ncbi.nlm.nih.gov/29993679"},"language":"en","primary_location":{"id":"doi:10.1109/tcyb.2018.2817480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2817480","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5002127716","display_name":"Xiangtao Li","orcid":"https://orcid.org/0000-0001-9089-1799"},"institutions":[{"id":"https://openalex.org/I184983240","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144","country_code":"CN","type":"education","lineage":["https://openalex.org/I184983240"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangtao Li","raw_affiliation_strings":["Department of Computer Science and Information Technology, Northeast Normal University, Changchun, China"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Technology, Northeast Normal University, Changchun, China","institution_ids":["https://openalex.org/I184983240"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5030015771","display_name":"Ka\u2010Chun Wong","orcid":"https://orcid.org/0000-0001-6062-733X"},"institutions":[{"id":"https://openalex.org/I168719708","display_name":"City University of Hong Kong","ror":"https://ror.org/03q8dnn23","country_code":"HK","type":"education","lineage":["https://openalex.org/I168719708"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ka-Chun Wong","raw_affiliation_strings":["Department of Computer Science, City University of Hong Kong, Hong Kong"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, City University of Hong Kong, Hong Kong","institution_ids":["https://openalex.org/I168719708"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5002127716"],"corresponding_institution_ids":["https://openalex.org/I184983240"],"apc_list":null,"apc_paid":null,"fwci":8.12364882,"has_fulltext":false,"cited_by_count":71,"citation_normalized_percentile":{"value":0.97679991,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"49","issue":"5","first_page":"1680","last_page":"1693"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9805999994277954,"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/T12422","display_name":"Radiomics and Machine Learning in Medical Imaging","score":0.9805999994277954,"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/T10885","display_name":"Gene expression and cancer classification","score":0.9671000242233276,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10862","display_name":"AI in cancer detection","score":0.9611999988555908,"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/cluster-analysis","display_name":"Cluster analysis","score":0.8522177338600159},{"id":"https://openalex.org/keywords/interpretability","display_name":"Interpretability","score":0.7995973229408264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6415289640426636},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.5994111895561218},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.5784872174263},{"id":"https://openalex.org/keywords/rand-index","display_name":"Rand index","score":0.5722799897193909},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4463563561439514},{"id":"https://openalex.org/keywords/multi-objective-optimization","display_name":"Multi-objective optimization","score":0.4301599860191345},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39703169465065}],"concepts":[{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.8522177338600159},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.7995973229408264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6415289640426636},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.5994111895561218},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.5784872174263},{"id":"https://openalex.org/C111442797","wikidata":"https://www.wikidata.org/wiki/Q7291446","display_name":"Rand index","level":3,"score":0.5722799897193909},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4463563561439514},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.4301599860191345},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39703169465065}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003658","descriptor_name":"Decision Making, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003658","descriptor_name":"Decision Making, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016000","descriptor_name":"Cluster Analysis","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003198","descriptor_name":"Computer Simulation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D003658","descriptor_name":"Decision Making, Computer-Assisted","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D020869","descriptor_name":"Gene Expression Profiling","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tcyb.2018.2817480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcyb.2018.2817480","pdf_url":null,"source":{"id":"https://openalex.org/S4210191041","display_name":"IEEE Transactions on Cybernetics","issn_l":"2168-2267","issn":["2168-2267","2168-2275"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Cybernetics","raw_type":"journal-article"},{"id":"pmid:29993679","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/29993679","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,"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":"IEEE transactions on cybernetics","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/1","score":0.5299999713897705,"display_name":"No poverty"}],"awards":[{"id":"https://openalex.org/G2244642180","display_name":null,"funder_award_id":"61603087","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5470760062","display_name":null,"funder_award_id":"2412017FZ026","funder_id":"https://openalex.org/F4320313888","funder_display_name":"Northeast Normal University"},{"id":"https://openalex.org/G7177324728","display_name":null,"funder_award_id":"20160101253JC","funder_id":"https://openalex.org/F4320310121","funder_display_name":"Natural Science Foundation of Jilin Province"}],"funders":[{"id":"https://openalex.org/F4320310121","display_name":"Natural Science Foundation of Jilin Province","ror":null},{"id":"https://openalex.org/F4320313888","display_name":"Northeast Normal University","ror":"https://ror.org/02rkvz144"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1520084959","https://openalex.org/W1585939719","https://openalex.org/W1673310716","https://openalex.org/W1959178355","https://openalex.org/W1980614958","https://openalex.org/W1983753875","https://openalex.org/W1987219048","https://openalex.org/W2017100743","https://openalex.org/W2018744542","https://openalex.org/W2024389852","https://openalex.org/W2030585401","https://openalex.org/W2031232041","https://openalex.org/W2031895827","https://openalex.org/W2048219658","https://openalex.org/W2053677366","https://openalex.org/W2071694551","https://openalex.org/W2082398795","https://openalex.org/W2085315239","https://openalex.org/W2089468765","https://openalex.org/W2100022944","https://openalex.org/W2108031918","https://openalex.org/W2108323654","https://openalex.org/W2108357162","https://openalex.org/W2108968575","https://openalex.org/W2120038224","https://openalex.org/W2120887445","https://openalex.org/W2126105956","https://openalex.org/W2133571308","https://openalex.org/W2134089414","https://openalex.org/W2134179844","https://openalex.org/W2136310301","https://openalex.org/W2141012957","https://openalex.org/W2143381319","https://openalex.org/W2147434872","https://openalex.org/W2149851607","https://openalex.org/W2151153628","https://openalex.org/W2158312398","https://openalex.org/W2162934302","https://openalex.org/W2165171393","https://openalex.org/W2165835468","https://openalex.org/W2170584976","https://openalex.org/W2171275709","https://openalex.org/W2187089797","https://openalex.org/W2198098822","https://openalex.org/W2230716962","https://openalex.org/W2262188337","https://openalex.org/W2282564320","https://openalex.org/W2285903080","https://openalex.org/W2312491920","https://openalex.org/W2561437993","https://openalex.org/W2568870981","https://openalex.org/W2600144413","https://openalex.org/W2601026776","https://openalex.org/W6635097213","https://openalex.org/W6637131181","https://openalex.org/W6679849079","https://openalex.org/W6730684529"],"related_works":["https://openalex.org/W2751605210","https://openalex.org/W2977596624","https://openalex.org/W2145877535","https://openalex.org/W2744730182","https://openalex.org/W3151104768","https://openalex.org/W2419109832","https://openalex.org/W2068949283","https://openalex.org/W2891428731","https://openalex.org/W2112801327","https://openalex.org/W1967262321"],"abstract_inverted_index":{"Patient":[0],"stratification":[1,17,37,239],"has":[2,38],"a":[3,107,134,246],"major":[4],"role":[5],"in":[6,15,104],"enabling":[7],"efficient":[8],"and":[9,44,65,98,118,146,167,224,253,281],"personalized":[10],"medicine.":[11],"An":[12],"important":[13],"task":[14],"patient":[16,36,238],"is":[18,86,93,123,138,190],"to":[19,95,125,143,192,286],"discover":[20],"disease":[21],"subtypes":[22],"for":[23,35,100],"effective":[24],"treatment.":[25],"To":[26,151,199],"achieve":[27,267],"this":[28,105],"goal,":[29],"the":[30,48,70,131,153,173,180,209,263,273,288,291],"research":[31],"on":[32,188,232,245],"clustering":[33,53,72,76,113,148,218],"algorithms":[34,54,73,214,227],"brought":[39],"attention":[40],"from":[41,56,294],"both":[42],"academia":[43],"medical":[45,256],"community":[46],"over":[47],"past":[49],"decades.":[50],"However,":[51],"existing":[52,71],"suffer":[55],"realistic":[57],"restrictions":[58],"such":[59],"as":[60,172],"experimental":[61],"noises,":[62],"high":[63],"dimensionality,":[64],"poor":[66],"interpretability.":[67],"In":[68,130],"particular,":[69],"usually":[74],"determine":[75],"quality":[77],"using":[78],"only":[79],"one":[80,89],"internal":[81,90],"evaluation":[82,91],"function.":[83],"Unfortunately,":[84],"it":[85],"obvious":[87],"that":[88,262],"function":[92],"hard":[94],"be":[96],"fitted":[97],"robust":[99],"all":[101],"datasets.":[102,257],"Therefore,":[103],"paper,":[106],"novel":[108],"multiobjective":[109,112,154,221],"framework":[110],"called":[111],"algorithm":[114,186,211,265,293],"by":[115],"fast":[116],"search":[117],"find":[119],"of":[120,179,290],"density":[121],"peaks":[122],"proposed":[124,132,210,264,292],"address":[126],"those":[127,194],"limitations":[128],"altogether.":[129],"framework,":[133],"parameter":[135,282],"candidate":[136],"population":[137],"evolved":[139],"under":[140,228],"multiple":[141,177],"objectives":[142],"select":[144],"features":[145],"evaluate":[147],"densities":[149],"automatically.":[150],"guide":[152],"evolution,":[155],"five":[156,195,220],"cluster":[157],"validity":[158],"indices":[159],"including":[160,215],"compactness,":[161],"separation,":[162],"Calinski-Harabasz":[163],"index,":[164,166,169],"Davies-Bouldin":[165],"Dunn":[168],"are":[170,284],"chosen":[171],"objective":[174,196,230],"functions,":[175],"capturing":[176],"characteristics":[178],"evolving":[181],"clusters.":[182],"Multiobjective":[183],"differential":[184],"evolution":[185],"based":[187,244],"decomposition":[189],"adopted":[191],"optimize":[193],"functions":[197],"simultaneously.":[198],"demonstrate":[200,287],"its":[201],"effectiveness,":[202],"extensive":[203],"experiments":[204],"have":[205],"been":[206],"conducted,":[207],"comparing":[208],"with":[212],"45":[213],"nine":[216],"state-of-the-art":[217],"algorithms,":[219,223],"evolutionary":[222],"31":[225],"baseline":[226],"different":[229,295],"subsets":[231],"94":[233],"datasets":[234,243],"featuring":[235],"35":[236],"real":[237,247],"datasets,":[240],"55":[241],"synthetic":[242],"human":[248],"transcription":[249],"regulation":[250],"network":[251],"model,":[252],"four":[254],"other":[255],"The":[258],"numerical":[259],"results":[260],"reveal":[261],"can":[266],"better":[268],"or":[269],"competitive":[270],"solutions":[271],"than":[272],"others.":[274],"Besides,":[275],"time":[276],"complexity":[277],"analysis,":[278,280],"convergence":[279],"analysis":[283],"conducted":[285],"robustness":[289],"perspectives.":[296]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":8},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":10},{"year":2018,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
