{"id":"https://openalex.org/W2798768860","doi":"https://doi.org/10.1145/3183713.3196907","title":"Fine-grained Concept Linking using Neural Networks in Healthcare","display_name":"Fine-grained Concept Linking using Neural Networks in Healthcare","publication_year":2018,"publication_date":"2018-05-25","ids":{"openalex":"https://openalex.org/W2798768860","doi":"https://doi.org/10.1145/3183713.3196907","mag":"2798768860"},"language":"en","primary_location":{"id":"doi:10.1145/3183713.3196907","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196907","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.1145/3183713.3196907","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054755221","display_name":"Jian Dai","orcid":"https://orcid.org/0000-0002-4478-3890"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":true,"raw_author_name":"Jian Dai","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032263010","display_name":"Meihui Zhang","orcid":"https://orcid.org/0000-0002-0752-9877"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meihui Zhang","raw_affiliation_strings":["Beijing Institute of Technology, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Beijing Institute of Technology, Beijing, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100389298","display_name":"Gang Chen","orcid":"https://orcid.org/0000-0002-9597-497X"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gang Chen","raw_affiliation_strings":["Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100739546","display_name":"Ju Fan","orcid":"https://orcid.org/0000-0003-4729-9903"},"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":"Ju Fan","raw_affiliation_strings":["Renmin University of China, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Renmin University of China, Beijing, China","institution_ids":["https://openalex.org/I78988378"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054008198","display_name":"Kee Yuan Ngiam","orcid":"https://orcid.org/0000-0001-5676-2520"},"institutions":[{"id":"https://openalex.org/I4210150261","display_name":"National University Health System","ror":"https://ror.org/05tjjsh18","country_code":"SG","type":"education","lineage":["https://openalex.org/I4210150261"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Kee Yuan Ngiam","raw_affiliation_strings":["National University Health System, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University Health System, Singapore, Singapore","institution_ids":["https://openalex.org/I4210150261"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024892041","display_name":"Beng Chin Ooi","orcid":"https://orcid.org/0000-0003-4446-1100"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Beng Chin Ooi","raw_affiliation_strings":["National University of Singapore, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5054755221"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":2.5335,"has_fulltext":false,"cited_by_count":23,"citation_normalized_percentile":{"value":0.91652271,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"51","last_page":"66"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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/T10028","display_name":"Topic Modeling","score":0.9984999895095825,"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/T11719","display_name":"Data Quality and Management","score":0.998199999332428,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9972000122070312,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/snippet","display_name":"Snippet","score":0.8646573424339294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8173750042915344},{"id":"https://openalex.org/keywords/encode","display_name":"ENCODE","score":0.6871089935302734},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.588589608669281},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5767508149147034},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5576450824737549},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.47018375992774963},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43885284662246704},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3678475618362427},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.1892891824245453}],"concepts":[{"id":"https://openalex.org/C2777822670","wikidata":"https://www.wikidata.org/wiki/Q1120538","display_name":"Snippet","level":2,"score":0.8646573424339294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8173750042915344},{"id":"https://openalex.org/C66746571","wikidata":"https://www.wikidata.org/wiki/Q1134833","display_name":"ENCODE","level":3,"score":0.6871089935302734},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.588589608669281},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5767508149147034},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5576450824737549},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.47018375992774963},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43885284662246704},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3678475618362427},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.1892891824245453},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3183713.3196907","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196907","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3183713.3196907","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3183713.3196907","pdf_url":null,"source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 International Conference on Management of Data","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1966397922","display_name":null,"funder_award_id":"61602488","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4032754357","display_name":null,"funder_award_id":"NRF-CRP8-2011-08","funder_id":"https://openalex.org/F4320320709","funder_display_name":"National Research Foundation Singapore"},{"id":"https://openalex.org/G6176634887","display_name":null,"funder_award_id":"973 Program No. 2015CB352400","funder_id":"https://openalex.org/F4320321540","funder_display_name":"Ministry of Science and Technology of the People's Republic of China"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321540","display_name":"Ministry of Science and Technology of the People's Republic of China","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W658020064","https://openalex.org/W1172683740","https://openalex.org/W1577541759","https://openalex.org/W1597017619","https://openalex.org/W1614298861","https://openalex.org/W1904153218","https://openalex.org/W1964189668","https://openalex.org/W1964786778","https://openalex.org/W1985697096","https://openalex.org/W1993715838","https://openalex.org/W2012668444","https://openalex.org/W2035274534","https://openalex.org/W2062022900","https://openalex.org/W2067566391","https://openalex.org/W2076357412","https://openalex.org/W2080471468","https://openalex.org/W2086923543","https://openalex.org/W2101654853","https://openalex.org/W2108991785","https://openalex.org/W2109005707","https://openalex.org/W2113878109","https://openalex.org/W2122402213","https://openalex.org/W2125449110","https://openalex.org/W2130942839","https://openalex.org/W2131744502","https://openalex.org/W2133564696","https://openalex.org/W2133627190","https://openalex.org/W2138605095","https://openalex.org/W2145111356","https://openalex.org/W2146089916","https://openalex.org/W2160424986","https://openalex.org/W2161131337","https://openalex.org/W2168608971","https://openalex.org/W2175585630","https://openalex.org/W2219889856","https://openalex.org/W2231162939","https://openalex.org/W2239231358","https://openalex.org/W2323506184","https://openalex.org/W2557074642","https://openalex.org/W2610986956","https://openalex.org/W2765765241","https://openalex.org/W2766530067","https://openalex.org/W2914959486","https://openalex.org/W2950133940","https://openalex.org/W2998704965","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W1607713096","https://openalex.org/W3036724449","https://openalex.org/W2798329462","https://openalex.org/W1511521437","https://openalex.org/W3201315194","https://openalex.org/W4318980730","https://openalex.org/W2985134635","https://openalex.org/W2981499762","https://openalex.org/W2018088575","https://openalex.org/W4240898781"],"abstract_inverted_index":{"To":[0,67],"unlock":[1],"the":[2,5,13,18,24,46,50,54,59,64,90,96,117,124,131,136,140,144,149,156,160,165,169,173,196],"wealth":[3],"of":[4,126],"healthcare":[6,29],"data,":[7],"we":[8,71],"often":[9],"need":[10],"to":[11,17,45],"link":[12],"real-world":[14,192],"text":[15,51,121],"snippets":[16],"referred":[19],"medical":[20],"concepts":[21],"described":[22],"by":[23],"canonical":[25,55],"descriptions.":[26],"However,":[27],"existing":[28],"concept":[30,56,61,81,111,179,200],"linking":[31,82,201],"methods,":[32,40],"such":[33],"as":[34,95],"dictionary-based":[35],"and":[36,53,58,115,185,203],"simple":[37],"machine":[38],"learning":[39],"are":[41],"not":[42],"effective":[43],"due":[44],"word":[47,150],"discrepancy":[48,151],"between":[49],"snippet":[52,122],"description,":[57],"overlapping":[60],"meaning":[62,180],"among":[63],"fine-grained":[65],"concepts.":[66],"address":[68],"these":[69],"challenges,":[70],"propose":[72],"a":[73,110,113,120],"Neural":[74],"Concept":[75],"Linking":[76],"(NCL)":[77],"approach":[78],"for":[79],"accurate":[80,199],"using":[83],"systematically":[84],"integrated":[85],"neural":[86,92,100,141,170],"networks.":[87],"We":[88],"call":[89],"novel":[91],"network":[93,101,142,171],"architecture":[94],"COMposite":[97],"AttentIonal":[98],"encode-Decode":[99],"(COM-AID).":[102],"COM-AID":[103],"performs":[104],"an":[105],"encode-decode":[106],"process":[107],"that":[108,148,177,195],"encodes":[109],"into":[112,119,139,168],"vector":[114,118],"decodes":[116],"with":[123],"help":[125],"two":[127,191],"devised":[128],"contexts.":[129],"On":[130,159],"one":[132],"hand,":[133,162],"it":[134,163],"injects":[135],"textual":[137],"context":[138,167],"through":[143,172],"attention":[145,174],"mechanism,":[146,175],"so":[147,176],"can":[152,182],"be":[153,183],"overcome":[154],"from":[155],"semantic":[157],"perspective.":[158],"other":[161],"incorporates":[164],"structural":[166],"minor":[178],"differences":[181],"enlarged":[184],"effectively":[186],"differentiated.":[187],"Empirical":[188],"studies":[189],"on":[190],"datasets":[193],"confirm":[194],"NCL":[197],"produces":[198],"results":[202],"significantly":[204],"outperforms":[205],"state-of-the-art":[206],"techniques.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":6},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":2},{"year":2016,"cited_by_count":1}],"updated_date":"2026-03-03T08:47:05.690250","created_date":"2025-10-10T00:00:00"}