{"id":"https://openalex.org/W1987041006","doi":"https://doi.org/10.1145/1835804.1835831","title":"Medical coding classification by leveraging inter-code relationships","display_name":"Medical coding classification by leveraging inter-code relationships","publication_year":2010,"publication_date":"2010-07-25","ids":{"openalex":"https://openalex.org/W1987041006","doi":"https://doi.org/10.1145/1835804.1835831","mag":"1987041006"},"language":"en","primary_location":{"id":"doi:10.1145/1835804.1835831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","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/A5100395088","display_name":"Yan Yan","orcid":"https://orcid.org/0000-0003-0083-5326"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Yan Yan","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111408590","display_name":"Glenn Fung","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151799","display_name":"Siemens Healthcare (United States)","ror":"https://ror.org/054962n91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210151799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Glenn Fung","raw_affiliation_strings":["Siemens Healthcare, Malvern, PA, USA"],"affiliations":[{"raw_affiliation_string":"Siemens Healthcare, Malvern, PA, USA","institution_ids":["https://openalex.org/I4210151799"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042038501","display_name":"Jennifer Dy","orcid":"https://orcid.org/0000-0002-8430-134X"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jennifer G. Dy","raw_affiliation_strings":["Northeastern University, Boston, MA, USA"],"affiliations":[{"raw_affiliation_string":"Northeastern University, Boston, MA, USA","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5111998240","display_name":"R\u00f3mer Rosales","orcid":null},"institutions":[{"id":"https://openalex.org/I4210151799","display_name":"Siemens Healthcare (United States)","ror":"https://ror.org/054962n91","country_code":"US","type":"company","lineage":["https://openalex.org/I4210151799"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Romer Rosales","raw_affiliation_strings":["Siemens Healthcare, Malvern, PA, USA"],"affiliations":[{"raw_affiliation_string":"Siemens Healthcare, Malvern, PA, USA","institution_ids":["https://openalex.org/I4210151799"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100395088"],"corresponding_institution_ids":["https://openalex.org/I12912129"],"apc_list":null,"apc_paid":null,"fwci":3.6084,"has_fulltext":false,"cited_by_count":52,"citation_normalized_percentile":{"value":0.92808229,"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":"193","last_page":"202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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/T11550","display_name":"Text and Document Classification Technologies","score":0.9987999796867371,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9927999973297119,"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/T10028","display_name":"Topic Modeling","score":0.986299991607666,"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/medical-classification","display_name":"Medical classification","score":0.7838256359100342},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.7527289390563965},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7335675954818726},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6869482398033142},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6305800676345825},{"id":"https://openalex.org/keywords/diagnosis-code","display_name":"Diagnosis code","score":0.5515689849853516},{"id":"https://openalex.org/keywords/medical-information","display_name":"Medical information","score":0.4801637530326843},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.4571596682071686},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4133501946926117},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37603646516799927},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.36288565397262573},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3019130825996399},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1265474557876587}],"concepts":[{"id":"https://openalex.org/C154874363","wikidata":"https://www.wikidata.org/wiki/Q3518464","display_name":"Medical classification","level":2,"score":0.7838256359100342},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7527289390563965},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7335675954818726},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6869482398033142},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6305800676345825},{"id":"https://openalex.org/C45827449","wikidata":"https://www.wikidata.org/wiki/Q5270338","display_name":"Diagnosis code","level":3,"score":0.5515689849853516},{"id":"https://openalex.org/C3019150057","wikidata":"https://www.wikidata.org/wiki/Q92779279","display_name":"Medical information","level":2,"score":0.4801637530326843},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.4571596682071686},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4133501946926117},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37603646516799927},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36288565397262573},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3019130825996399},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1265474557876587},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"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/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"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/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/1835804.1835831","is_oa":false,"landing_page_url":"https://doi.org/10.1145/1835804.1835831","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 16th ACM SIGKDD international conference on Knowledge discovery and data mining","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1492104287","https://openalex.org/W1504194272","https://openalex.org/W1983998816","https://openalex.org/W2004198484","https://openalex.org/W2041684917","https://openalex.org/W2053463056","https://openalex.org/W2061351061","https://openalex.org/W2118712128","https://openalex.org/W2119466907","https://openalex.org/W2124225314","https://openalex.org/W2133576408","https://openalex.org/W2156935079","https://openalex.org/W2407534863","https://openalex.org/W2998216295","https://openalex.org/W2999905431","https://openalex.org/W3004658167","https://openalex.org/W3029645440","https://openalex.org/W3143496104","https://openalex.org/W3203127690","https://openalex.org/W4255279317","https://openalex.org/W4285719527"],"related_works":["https://openalex.org/W2245747428","https://openalex.org/W2043241239","https://openalex.org/W2333798660","https://openalex.org/W2988460333","https://openalex.org/W2158076149","https://openalex.org/W2073015584","https://openalex.org/W2419506399","https://openalex.org/W72816711","https://openalex.org/W57843728","https://openalex.org/W2802989430"],"abstract_inverted_index":{"Medical":[0],"coding":[1,26,48,53,81],"or":[2,74],"classification":[3,89],"is":[4,54,58],"the":[5,36,39,45,80,103,109,125],"process":[6],"of":[7,42,112],"transforming":[8],"information":[9,135],"contained":[10],"in":[11,35,165],"patient":[12,70],"medical":[13,18,25,32,52,116,153],"records":[14],"into":[15],"standard":[16,46],"predefined":[17],"codes.":[19],"There":[20],"are":[21],"several":[22,77],"worldwide":[23],"accepted":[24],"conventions":[27],"associated":[28,152],"with":[29],"diagnoses":[30],"and":[31,107,123,150],"procedures;":[33],"however,":[34],"United":[37],"States":[38],"Ninth":[40],"Revision":[41],"ICD(ICD-9)":[43],"provides":[44],"for":[47,62],"clinical":[49,147],"records.":[50],"Accurate":[51],"important":[55],"since":[56],"it":[57],"used":[59],"by":[60],"hospitals":[61],"insurance":[63],"billing":[64],"purposes.":[65],"Since":[66],"after":[67],"discharge":[68],"a":[69,87,96,142],"can":[71,83,130],"be":[72,84],"assigned":[73],"classified":[75],"to":[76,121,136],"ICD-9":[78],"codes,":[79],"problem":[82],"seen":[85],"as":[86],"multi-label":[88,97,159,163],"problem.":[90,167],"In":[91,119],"this":[92,133,166],"paper,":[93],"we":[94],"introduce":[95],"large-margin":[98],"classifier":[99,129,160],"that":[100,156],"automatically":[101],"learns":[102],"underlying":[104],"inter-code":[105],"structure":[106],"allows":[108],"controlled":[110],"incorporation":[111],"prior":[113],"knowledge":[114],"about":[115],"code":[117,126],"relationships.":[118],"addition":[120],"refining":[122],"learning":[124],"relationships,":[127],"our":[128,157],"also":[131],"utilize":[132],"shared":[134],"improve":[137],"its":[138],"performance.":[139],"Experiments":[140],"on":[141],"publicly":[143],"available":[144],"dataset":[145],"containing":[146],"free":[148],"text":[149],"their":[151],"codes":[154],"showed":[155],"proposed":[158],"outperforms":[161],"related":[162],"models":[164]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":7},{"year":2018,"cited_by_count":6},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":4},{"year":2013,"cited_by_count":2},{"year":2012,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
