{"id":"https://openalex.org/W4387346606","doi":"https://doi.org/10.1145/3584371.3612967","title":"MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks","display_name":"MLGAN: a Meta-Learning based Generative Adversarial Network adapter for rare disease differentiation tasks","publication_year":2023,"publication_date":"2023-09-03","ids":{"openalex":"https://openalex.org/W4387346606","doi":"https://doi.org/10.1145/3584371.3612967"},"language":"en","primary_location":{"id":"doi:10.1145/3584371.3612967","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612967","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612967","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612967","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5018641872","display_name":"Rui Li","orcid":"https://orcid.org/0009-0009-7292-4011"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Rui Li","raw_affiliation_strings":["State University of New York at Buffalo, Buffalo, NY, USA"],"raw_orcid":"https://orcid.org/0009-0009-7292-4011","affiliations":[{"raw_affiliation_string":"State University of New York at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003128469","display_name":"Andrew Wen","orcid":"https://orcid.org/0000-0001-9090-8028"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Andrew Wen","raw_affiliation_strings":["The University of Texas Health Science Center at Houston, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0001-9090-8028","affiliations":[{"raw_affiliation_string":"The University of Texas Health Science Center at Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068042288","display_name":"Jing Gao","orcid":"https://orcid.org/0000-0002-1557-7553"},"institutions":[{"id":"https://openalex.org/I219193219","display_name":"Purdue University West Lafayette","ror":"https://ror.org/02dqehb95","country_code":"US","type":"education","lineage":["https://openalex.org/I219193219"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jing Gao","raw_affiliation_strings":["Purdue University, West Lafayette, IN, USA"],"raw_orcid":"https://orcid.org/0000-0002-1557-7553","affiliations":[{"raw_affiliation_string":"Purdue University, West Lafayette, IN, USA","institution_ids":["https://openalex.org/I219193219"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101585391","display_name":"Hongfang Liu","orcid":"https://orcid.org/0000-0003-2570-3741"},"institutions":[{"id":"https://openalex.org/I919571938","display_name":"The University of Texas Health Science Center at Houston","ror":"https://ror.org/03gds6c39","country_code":"US","type":"education","lineage":["https://openalex.org/I919571938"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Hongfang Liu","raw_affiliation_strings":["The University of Texas Health Science Center at Houston, Houston, TX, USA"],"raw_orcid":"https://orcid.org/0000-0003-2570-3741","affiliations":[{"raw_affiliation_string":"The University of Texas Health Science Center at Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I919571938"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5018641872"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.1704,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57075426,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9945999979972839,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9945999979972839,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9853000044822693,"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/T11642","display_name":"Genomics and Rare Diseases","score":0.9843000173568726,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7654017806053162},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6817041635513306},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6521239280700684},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6390185356140137},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5884873270988464},{"id":"https://openalex.org/keywords/rare-events","display_name":"Rare events","score":0.5852296352386475},{"id":"https://openalex.org/keywords/rare-disease","display_name":"Rare disease","score":0.5223613977432251},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.519140899181366},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5141990184783936},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5035566687583923},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.49330416321754456},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.473514586687088},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.41389837861061096},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.17959249019622803},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.09319081902503967},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08617144823074341}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7654017806053162},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6817041635513306},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6521239280700684},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6390185356140137},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5884873270988464},{"id":"https://openalex.org/C2777317252","wikidata":"https://www.wikidata.org/wiki/Q18393516","display_name":"Rare events","level":2,"score":0.5852296352386475},{"id":"https://openalex.org/C2779701055","wikidata":"https://www.wikidata.org/wiki/Q929833","display_name":"Rare disease","level":3,"score":0.5223613977432251},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.519140899181366},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5141990184783936},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5035566687583923},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.49330416321754456},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.473514586687088},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.41389837861061096},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.17959249019622803},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.09319081902503967},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08617144823074341},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3584371.3612967","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612967","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612967","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3584371.3612967","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3584371.3612967","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3584371.3612967","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 14th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G6071359385","display_name":null,"funder_award_id":"U01TR002062","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387346606.pdf","grobid_xml":"https://content.openalex.org/works/W4387346606.grobid-xml"},"referenced_works_count":12,"referenced_works":["https://openalex.org/W2123958887","https://openalex.org/W2133227149","https://openalex.org/W2148143831","https://openalex.org/W2690721124","https://openalex.org/W2742491462","https://openalex.org/W2899867782","https://openalex.org/W2963351448","https://openalex.org/W2964154500","https://openalex.org/W3013181797","https://openalex.org/W3080098168","https://openalex.org/W3190417026","https://openalex.org/W3209094369"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W4385421777","https://openalex.org/W4377980832","https://openalex.org/W2897769091","https://openalex.org/W2845413374","https://openalex.org/W3005996785","https://openalex.org/W4297411772","https://openalex.org/W3007544296","https://openalex.org/W4235873501","https://openalex.org/W2744974086"],"abstract_inverted_index":{"Rare":[0],"disease":[1,40,66,80,132,153],"diagnosis":[2,36,75,118],"is":[3],"very":[4],"challenging":[5],"due":[6],"to":[7,22,78,88,97,101,110],"the":[8,43,112,124,142],"rarity":[9],"and":[10,25,49,93,104,121,127,145],"lack":[11],"of":[12,46,130],"scientific":[13],"knowledge.":[14],"Many":[15],"patients":[16],"with":[17,34],"rare":[18,39,65,79,131,152],"diseases":[19],"take":[20],"years":[21],"get":[23],"diagnosed":[24],"many":[26],"stay":[27],"misdiagnosed":[28],"or":[29],"are":[30],"not":[31],"diagnosed.":[32],"Comparing":[33],"traditional":[35],"prediction":[37,76,119,143],"task,":[38],"detection":[41,67,81],"has":[42],"unique":[44],"challenges":[45],"low":[47,125],"prevalence":[48,126],"label":[50,128],"noise.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55,94],"propose":[56],"Meta-Learning":[57],"based":[58],"Generative":[59],"Adversarial":[60],"Network":[61],"module":[62,69],"MLGAN,":[63],"a":[64],"enhancement":[68],"that":[70,137],"can":[71,139],"adapt":[72],"any":[73],"existing":[74],"methods":[77],"task.":[82],"We":[83,134,155],"use":[84,95],"generative":[85],"adversarial":[86],"network":[87],"generate":[89],"synthetic":[90,105],"positive":[91],"em-beddings":[92],"Meta-Weight-Net":[96],"automatically":[98],"assign":[99],"weight":[100],"real":[102],"data":[103],"data.":[106],"MLGAN":[107,138],"helps":[108],"us":[109],"leverage":[111],"time-aware":[113],"sequential":[114],"modeling":[115],"ability":[116],"in":[117],"methods,":[120],"also":[122],"mitigate":[123],"noise":[129],"dataset.":[133],"empirically":[135],"show":[136],"greatly":[140],"boost":[141],"performance":[144],"have":[146],"good":[147],"robustness":[148],"on":[149],"four":[150],"real-world":[151],"datasets.":[154],"release":[156],"our":[157],"code":[158],"at":[159],"https://github.com/ruilialice/MLGAN.":[160]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
