{"id":"https://openalex.org/W2978520562","doi":"https://doi.org/10.1109/ijcnn.2019.8851846","title":"Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data","display_name":"Attention-based Multi-instance Neural Network for Medical Diagnosis from Incomplete and Low Quality Data","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978520562","doi":"https://doi.org/10.1109/ijcnn.2019.8851846","mag":"2978520562"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","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/A5100729938","display_name":"Zeyuan Wang","orcid":"https://orcid.org/0009-0009-8599-270X"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":true,"raw_author_name":"Zeyuan Wang","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Syndey, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Syndey, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085086413","display_name":"Josiah Poon","orcid":"https://orcid.org/0000-0003-3371-8628"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Josiah Poon","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Syndey, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Syndey, Australia","institution_ids":["https://openalex.org/I129604602"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102923569","display_name":"Shiding Sun","orcid":"https://orcid.org/0000-0003-4590-4479"},"institutions":[{"id":"https://openalex.org/I78988378","display_name":"Renmin University of China","ror":"https://ror.org/041pakw92","country_code":"CN","type":"education","lineage":["https://openalex.org/I78988378"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiding Sun","raw_affiliation_strings":["School of Mathematics, Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematics, Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003933623","display_name":"Simon Poon","orcid":"https://orcid.org/0000-0003-2726-9109"},"institutions":[{"id":"https://openalex.org/I129604602","display_name":"University of Sydney","ror":"https://ror.org/0384j8v12","country_code":"AU","type":"education","lineage":["https://openalex.org/I129604602"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Simon Poon","raw_affiliation_strings":["School of Computer Science, The University of Sydney, Syndey, Australia"],"affiliations":[{"raw_affiliation_string":"School of Computer Science, The University of Sydney, Syndey, Australia","institution_ids":["https://openalex.org/I129604602"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100729938"],"corresponding_institution_ids":["https://openalex.org/I129604602"],"apc_list":null,"apc_paid":null,"fwci":5.5585,"has_fulltext":false,"cited_by_count":31,"citation_normalized_percentile":{"value":0.95284798,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T12647","display_name":"Traditional Chinese Medicine Studies","score":0.9991999864578247,"subfield":{"id":"https://openalex.org/subfields/2707","display_name":"Complementary and alternative medicine"},"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/T10824","display_name":"Image Retrieval and Classification Techniques","score":0.9926000237464905,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9879000186920166,"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/computer-science","display_name":"Computer science","score":0.7265279293060303},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6449642181396484},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.4956609010696411},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.48029109835624695},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4560932219028473},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.43999242782592773},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.43344929814338684},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.42150670289993286},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3588060140609741}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7265279293060303},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6449642181396484},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.4956609010696411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.48029109835624695},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4560932219028473},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.43999242782592773},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.43344929814338684},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.42150670289993286},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3588060140609741}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851846","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851846","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W24402856","https://openalex.org/W1482608529","https://openalex.org/W1514535095","https://openalex.org/W1517032997","https://openalex.org/W1522301498","https://openalex.org/W1929873255","https://openalex.org/W1930624869","https://openalex.org/W2048827870","https://openalex.org/W2105497545","https://openalex.org/W2107103981","https://openalex.org/W2107143555","https://openalex.org/W2108745803","https://openalex.org/W2110119381","https://openalex.org/W2125479168","https://openalex.org/W2133288557","https://openalex.org/W2140494000","https://openalex.org/W2149648623","https://openalex.org/W2163474322","https://openalex.org/W2194775991","https://openalex.org/W2295598076","https://openalex.org/W2470673105","https://openalex.org/W2498119267","https://openalex.org/W2531692255","https://openalex.org/W2531897166","https://openalex.org/W2560609797","https://openalex.org/W2567070169","https://openalex.org/W2571156573","https://openalex.org/W2575234791","https://openalex.org/W2597655663","https://openalex.org/W2607119937","https://openalex.org/W2746791238","https://openalex.org/W2768919623","https://openalex.org/W2785934082","https://openalex.org/W2792424406","https://openalex.org/W2806530836","https://openalex.org/W2904294973","https://openalex.org/W2914010260","https://openalex.org/W2963021258","https://openalex.org/W2963403868","https://openalex.org/W2963560594","https://openalex.org/W2963970792","https://openalex.org/W2964189376","https://openalex.org/W2969262604","https://openalex.org/W4294170691","https://openalex.org/W4385245566","https://openalex.org/W6600987510","https://openalex.org/W6630875275","https://openalex.org/W6631190155","https://openalex.org/W6640500741","https://openalex.org/W6675818255","https://openalex.org/W6676245398","https://openalex.org/W6682691769","https://openalex.org/W6684158799","https://openalex.org/W6731370813","https://openalex.org/W6735377749","https://openalex.org/W6739901393","https://openalex.org/W6744580074","https://openalex.org/W6747701563","https://openalex.org/W6756383013","https://openalex.org/W6759027147","https://openalex.org/W6763422710"],"related_works":["https://openalex.org/W2953234277","https://openalex.org/W2626256601","https://openalex.org/W147410782","https://openalex.org/W2900413183","https://openalex.org/W4390975304","https://openalex.org/W3022252430","https://openalex.org/W4287804464","https://openalex.org/W3103989898","https://openalex.org/W3211292372","https://openalex.org/W803346624"],"abstract_inverted_index":{"One":[0],"way":[1],"to":[2,9,30,39,62,77,104],"extract":[3],"patterns":[4],"from":[5],"clinical":[6],"records":[7],"is":[8,29,59,72,148],"consider":[10],"each":[11],"patient":[12,163],"record":[13],"as":[14,50,83,135],"a":[15,57,78,95,127,131,231],"bag":[16,132,140],"with":[17],"various":[18],"number":[19],"of":[20,25,74,80,126,133],"instances":[21,134,154,168],"in":[22,52,67,118,143,202,212],"the":[23,106,113,119,124,139,151,161,173,203,210,213,223],"form":[24],"symptoms.":[26],"Medical":[27],"diagnosis":[28,64],"discover":[31],"informative":[32],"ones":[33],"first":[34],"and":[35,56,115,137,169,185,197,209],"then":[36],"map":[37],"them":[38],"one":[40,201],"or":[41],"more":[42],"diseases.":[43],"In":[44,90,123],"many":[45,68],"cases,":[46,70],"patients":[47],"are":[48,176],"represented":[49],"vectors":[51],"some":[53],"feature":[54],"space":[55,158],"classifier":[58],"applied":[60],"after":[61],"generate":[63],"results.":[65],"However,":[66],"real-world":[69,120],"data":[71,84],"often":[73],"low-quality":[75],"due":[76],"variety":[79],"reasons,":[81],"such":[82],"consistency,":[85],"integrity,":[86],"completeness,":[87],"accuracy,":[88],"etc.":[89],"this":[91],"paper,":[92],"we":[93],"propose":[94],"novel":[96],"approach,":[97],"attention":[98,180],"based":[99,111],"multi-instance":[100,183,187],"neural":[101],"network":[102],"(AMINet),":[103],"make":[105],"single":[107],"disease":[108],"classification":[109,175],"only":[110],"on":[112,194],"existing":[114],"valid":[116],"information":[117],"outpatient":[121],"records.":[122],"context":[125],"patient,":[128],"it":[129],"takes":[130],"input":[136],"output":[138],"label":[141],"directly":[142],"end-to-end":[144],"way.":[145],"Embedding":[146],"layer":[147],"adopted":[149],"at":[150],"beginning,":[152],"mapping":[153],"into":[155],"an":[156],"embedding":[157],"which":[159],"represents":[160],"individual":[162],"condition.":[164],"The":[165,189],"correlations":[166],"among":[167],"their":[170],"importance":[171],"for":[172],"final":[174],"captured":[177],"by":[178,230],"multi-head":[179],"transformer,":[181],"instance-level":[182],"pooling":[184],"bag-level":[186],"pooling.":[188],"proposed":[190,224],"approach":[191,225],"was":[192],"test":[193],"two":[195],"non-standardized":[196],"highly":[198],"imbalanced":[199],"datasets,":[200],"Traditional":[204],"Chinese":[205],"Medicine":[206,215],"(TCM)":[207],"domain":[208],"other":[211],"Western":[214],"(WM)":[216],"domain.":[217],"Our":[218],"preliminary":[219],"results":[220,229],"show":[221],"that":[222],"outperforms":[226],"all":[227],"baselines":[228],"significant":[232],"margin.":[233]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":9},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2}],"updated_date":"2026-03-06T13:50:29.536080","created_date":"2025-10-10T00:00:00"}
