{"id":"https://openalex.org/W4385484884","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191167","title":"Disease Diagnosis with Cost-Sensitive Grouped Features Based on Deep Reinforcement Learning","display_name":"Disease Diagnosis with Cost-Sensitive Grouped Features Based on Deep Reinforcement Learning","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484884","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191167"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191167","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"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/A5000935313","display_name":"Yikemaiti Sataer","orcid":"https://orcid.org/0000-0001-7942-8170"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yikemaiti Sataer","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Nanjing,China","School of Computer Science and Engineering, Southeast University, Nanjing, China","Key Laboratory of Computer Network and Information Integration, (Southeast University), Ministry of Education, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051037920","display_name":"Zhiqiang Gao","orcid":"https://orcid.org/0000-0001-9882-6190"},"institutions":[{"id":"https://openalex.org/I1327237609","display_name":"Ministry of Education of the People's Republic of China","ror":"https://ror.org/01mv9t934","country_code":"CN","type":"government","lineage":["https://openalex.org/I1327237609","https://openalex.org/I4210127390"]},{"id":"https://openalex.org/I76569877","display_name":"Southeast University","ror":"https://ror.org/04ct4d772","country_code":"CN","type":"education","lineage":["https://openalex.org/I76569877"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Gao","raw_affiliation_strings":["School of Computer Science and Engineering, Southeast University,Nanjing,China","Key Laboratory of Computer Network and Information Integration, (Southeast University), Ministry of Education, China","School of Computer Science and Engineering, Southeast University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University,Nanjing,China","institution_ids":["https://openalex.org/I76569877"]},{"raw_affiliation_string":"Key Laboratory of Computer Network and Information Integration, (Southeast University), Ministry of Education, China","institution_ids":["https://openalex.org/I1327237609","https://openalex.org/I76569877"]},{"raw_affiliation_string":"School of Computer Science and Engineering, Southeast University, Nanjing, China","institution_ids":["https://openalex.org/I76569877"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100659161","display_name":"Xuelian Li","orcid":"https://orcid.org/0000-0002-0553-8569"},"institutions":[{"id":"https://openalex.org/I41198531","display_name":"Nanjing University of Posts and Telecommunications","ror":"https://ror.org/043bpky34","country_code":"CN","type":"education","lineage":["https://openalex.org/I41198531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuelian Li","raw_affiliation_strings":["School of Foreign Studies, Nanjing University of Posts and Telecommunications"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Foreign Studies, Nanjing University of Posts and Telecommunications","institution_ids":["https://openalex.org/I41198531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":"31","issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12535","display_name":"Machine Learning and Data Classification","score":0.9934999942779541,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.9934999942779541,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.9890000224113464,"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":0.9825000166893005,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.8233155012130737},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7735999226570129},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7060995697975159},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6998210549354553},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.64723140001297},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5663256049156189},{"id":"https://openalex.org/keywords/selection","display_name":"Selection (genetic algorithm)","score":0.4663839340209961},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4532008767127991},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4323866069316864},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.08178400993347168}],"concepts":[{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.8233155012130737},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7735999226570129},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7060995697975159},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6998210549354553},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.64723140001297},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5663256049156189},{"id":"https://openalex.org/C81917197","wikidata":"https://www.wikidata.org/wiki/Q628760","display_name":"Selection (genetic algorithm)","level":2,"score":0.4663839340209961},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4532008767127991},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4323866069316864},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.08178400993347168},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191167","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn54540.2023.10191167","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/17","display_name":"Partnerships for the goals","score":0.5600000023841858}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W2094779007","https://openalex.org/W2125927049","https://openalex.org/W2144360741","https://openalex.org/W2145339207","https://openalex.org/W2150280772","https://openalex.org/W2167101736","https://openalex.org/W2195453971","https://openalex.org/W2526665672","https://openalex.org/W2746553466","https://openalex.org/W2788477667","https://openalex.org/W2890680403","https://openalex.org/W2896480277","https://openalex.org/W2906902945","https://openalex.org/W2950965163","https://openalex.org/W2963428422","https://openalex.org/W2964279275","https://openalex.org/W2971364334","https://openalex.org/W2991519556","https://openalex.org/W3035148950","https://openalex.org/W3098474649","https://openalex.org/W3101739879","https://openalex.org/W3102138742","https://openalex.org/W3107222459","https://openalex.org/W3117831081","https://openalex.org/W3126320871","https://openalex.org/W3133581493","https://openalex.org/W3135436766","https://openalex.org/W3174998861","https://openalex.org/W3201256671","https://openalex.org/W4220662991","https://openalex.org/W4220862305","https://openalex.org/W4224308505","https://openalex.org/W4225632040","https://openalex.org/W4250512610","https://openalex.org/W4281489584","https://openalex.org/W4285243504","https://openalex.org/W4293765137","https://openalex.org/W4298857966","https://openalex.org/W4302047052","https://openalex.org/W4312890052","https://openalex.org/W6637967152","https://openalex.org/W6677067356","https://openalex.org/W6718037743","https://openalex.org/W6735661238","https://openalex.org/W6739190457","https://openalex.org/W6755258449","https://openalex.org/W6757324869","https://openalex.org/W6786598100","https://openalex.org/W6798668934","https://openalex.org/W6838971334"],"related_works":["https://openalex.org/W4306904969","https://openalex.org/W2138720691","https://openalex.org/W4362501864","https://openalex.org/W4380318855","https://openalex.org/W2031695474","https://openalex.org/W3084456289","https://openalex.org/W2024136090","https://openalex.org/W4391331176","https://openalex.org/W4386564352","https://openalex.org/W2952668426"],"abstract_inverted_index":{"Traditional":[0],"machine":[1],"learning":[2,107,147,176],"algorithms":[3],"rely":[4],"on":[5,104,157],"the":[6,63,111,118,124,134,151,154,164,170,191],"assumption":[7],"that":[8,51,70,85],"all":[9],"features":[10,24,84,102,122,200],"of":[11,48,120,153,201],"a":[12,26,91,115],"given":[13],"dataset":[14],"are":[15,31,60],"available":[16,160,208],"for":[17,96,196],"free.":[18],"However,":[19],"in":[20,42,62,75,87],"disease":[21,97,185],"diagnosis,":[22],"acquiring":[23],"requires":[25],"certain":[27],"cost":[28,119],"because":[29],"there":[30],"many":[32],"concerns,":[33],"such":[34,66],"as":[35,67,138,187],"monetary":[36],"data":[37,49],"collection":[38,50],"costs,":[39],"patient":[40],"discomfort":[41],"medical":[43,57],"procedures,":[44],"and":[45,123,190],"privacy":[46],"impacts":[47],"require":[52],"careful":[53],"consideration.":[54],"Moreover,":[55],"some":[56],"examination":[58],"items":[59],"grouped":[61,77,101,121,199],"real":[64],"world,":[65],"lab":[68],"tests":[69],"return":[71],"multiple":[72],"measurements,":[73],"resulting":[74],"naturally":[76],"features.":[78],"In":[79,132],"this":[80],"work,":[81],"to":[82],"consider":[83],"come":[86],"groups,":[88],"we":[89],"propose":[90],"novel":[92],"feature":[93,167,180],"selection":[94,168],"method":[95,156,172,193],"diagnosis":[98,186],"with":[99,143,163,178,198],"cost-sensitive":[100],"based":[103],"deep":[105,129,145],"reinforcement":[106,146],"(RL).":[108],"We":[109,149],"optimize":[110],"objective":[112],"which":[113],"is":[114,136,194,207],"trade-off":[116],"between":[117],"diagnostic":[125],"accuracy,":[126],"by":[127],"training":[128],"RL":[130],"models.":[131],"addition,":[133],"approach":[135],"flexible,":[137],"it":[139],"can":[140,173],"be":[141],"improved":[142],"new":[144],"algorithms.":[148],"evaluate":[150],"effectiveness":[152],"proposed":[155,171,192],"four":[158],"publicly":[159],"datasets.":[161],"Compared":[162],"existing":[165],"competitive":[166],"methods,":[169],"achieve":[174],"higher":[175],"accuracy":[177],"lower":[179],"costs.":[181],"This":[182],"paper":[183],"takes":[184],"an":[188],"example,":[189],"universal":[195],"problems":[197],"different":[202],"domains.":[203],"(The":[204],"source":[205],"code":[206],"at":[209],"https://anonymous.4open.science/r/DRL-CSGF-":[210],"Y821).":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
