{"id":"https://openalex.org/W2251255855","doi":"https://doi.org/10.3115/v1/w14-3409","title":"A System for Predicting ICD-10-PCS Codes from Electronic Health Records","display_name":"A System for Predicting ICD-10-PCS Codes from Electronic Health Records","publication_year":2014,"publication_date":"2014-01-01","ids":{"openalex":"https://openalex.org/W2251255855","doi":"https://doi.org/10.3115/v1/w14-3409","mag":"2251255855"},"language":"en","primary_location":{"id":"doi:10.3115/v1/w14-3409","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-3409","pdf_url":"https://aclanthology.org/W14-3409.pdf","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 BioNLP 2014","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/W14-3409.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037786137","display_name":"Michael Subotin","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michael Subotin","raw_affiliation_strings":["3M Health Information Systems Silver Spring, MD"],"affiliations":[{"raw_affiliation_string":"3M Health Information Systems Silver Spring, MD","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035387736","display_name":"Anthony R. Davis","orcid":"https://orcid.org/0000-0003-2873-9555"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Anthony Davis","raw_affiliation_strings":["3M Health Information Systems Silver Spring, MD"],"affiliations":[{"raw_affiliation_string":"3M Health Information Systems Silver Spring, MD","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5037786137"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.1408,"has_fulltext":true,"cited_by_count":31,"citation_normalized_percentile":{"value":0.78179372,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"59","last_page":"67"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.996399998664856,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.996399998664856,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.9878000020980835,"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/T14400","display_name":"Medical Coding and Health Information","score":0.9776999950408936,"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/computer-science","display_name":"Computer science","score":0.7107921838760376},{"id":"https://openalex.org/keywords/coding","display_name":"Coding (social sciences)","score":0.6330753564834595},{"id":"https://openalex.org/keywords/medical-classification","display_name":"Medical classification","score":0.4900249242782593},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.45886749029159546},{"id":"https://openalex.org/keywords/diagnosis-code","display_name":"Diagnosis code","score":0.4381474554538727},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.42044901847839355},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.41984865069389343},{"id":"https://openalex.org/keywords/confidence-interval","display_name":"Confidence interval","score":0.4128403663635254},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39247918128967285},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.35883694887161255},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.35243159532546997},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.15474164485931396},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.14857178926467896},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10078617930412292}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7107921838760376},{"id":"https://openalex.org/C179518139","wikidata":"https://www.wikidata.org/wiki/Q5140297","display_name":"Coding (social sciences)","level":2,"score":0.6330753564834595},{"id":"https://openalex.org/C154874363","wikidata":"https://www.wikidata.org/wiki/Q3518464","display_name":"Medical classification","level":2,"score":0.4900249242782593},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.45886749029159546},{"id":"https://openalex.org/C45827449","wikidata":"https://www.wikidata.org/wiki/Q5270338","display_name":"Diagnosis code","level":3,"score":0.4381474554538727},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.42044901847839355},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.41984865069389343},{"id":"https://openalex.org/C44249647","wikidata":"https://www.wikidata.org/wiki/Q208498","display_name":"Confidence interval","level":2,"score":0.4128403663635254},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39247918128967285},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.35883694887161255},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.35243159532546997},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.15474164485931396},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14857178926467896},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10078617930412292},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.3115/v1/w14-3409","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-3409","pdf_url":"https://aclanthology.org/W14-3409.pdf","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 BioNLP 2014","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.675.5060","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.675.5060","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://www.aclweb.org/anthology/W/W14/W14-3409.pdf","raw_type":"text"}],"best_oa_location":{"id":"doi:10.3115/v1/w14-3409","is_oa":true,"landing_page_url":"https://doi.org/10.3115/v1/w14-3409","pdf_url":"https://aclanthology.org/W14-3409.pdf","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 BioNLP 2014","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Quality Education","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2251255855.pdf","grobid_xml":"https://content.openalex.org/works/W2251255855.grobid-xml"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W4049984","https://openalex.org/W28412257","https://openalex.org/W1519328795","https://openalex.org/W1541322638","https://openalex.org/W1870686808","https://openalex.org/W2040249527","https://openalex.org/W2096664202","https://openalex.org/W2100676408","https://openalex.org/W2117873652","https://openalex.org/W2122793307","https://openalex.org/W2133737073","https://openalex.org/W2277274640","https://openalex.org/W2521685482"],"related_works":["https://openalex.org/W2988460333","https://openalex.org/W2554558516","https://openalex.org/W2355354922","https://openalex.org/W2527724968","https://openalex.org/W2356296688","https://openalex.org/W1814740154","https://openalex.org/W3031494915","https://openalex.org/W2413325029","https://openalex.org/W4292539280","https://openalex.org/W4319657117"],"abstract_inverted_index":{"Medical":[0],"coding":[1],"is":[2,19,108],"a":[3,73,88,131],"process":[4],"of":[5,23,38,46,71,76,102,120],"classifying":[6],"health":[7,24,56],"records":[8],"according":[9],"to":[10,110,164],"standard":[11],"code":[12,74,83,133],"sets":[13],"representing":[14],"procedures":[15],"and":[16,29,115],"diagnoses.":[17],"It":[18],"an":[20],"integral":[21],"part":[22],"care":[25],"in":[26,54,130],"the":[27,30,50,68,80,96,125,141],"U.S.,":[28],"high":[31],"costs":[32],"it":[33,128],"incurs":[34],"have":[35],"prompted":[36],"adoption":[37,70],"natural":[39],"language":[40],"processing":[41],"techniques":[42],"for":[43,60,118,134,140],"automatic":[44],"generation":[45],"these":[47,121],"codes":[48,94,143,163],"from":[49,95,149],"clinical":[51,97],"narrative":[52,98],"contained":[53],"electronic":[55],"records.":[57],"The":[58,153],"need":[59],"effective":[61],"auto-coding":[62],"methods":[63],"becomes":[64],"even":[65],"greater":[66,77],"with":[67,161],"impending":[69],"ICD-10,":[72],"inventory":[75],"complexity":[78],"than":[79],"currently":[81],"used":[82,109],"sets.":[84],"This":[85],"paper":[86],"presents":[87],"system":[89],"that":[90,127,135],"predicts":[91],"ICD-10":[92,167],"procedure":[93,132],"using":[99,146],"several":[100],"levels":[101],"abstraction.":[103],"First,":[104],"partial":[105],"hierarchical":[106],"classification":[107],"identify":[111],"potentially":[112],"relevant":[113],"concepts":[114,122],"codes.":[116],"Then,":[117],"each":[119],"we":[123],"estimate":[124],"confidence":[126,138,151],"appears":[129],"document.":[136],"Finally,":[137],"values":[139],"candidate":[142],"are":[144],"estimated":[145],"features":[147],"derived":[148],"concept":[150,154],"scores.":[152],"models":[155],"can":[156],"be":[157],"trained":[158],"on":[159,171],"data":[160,173],"ICD-9":[162],"supplement":[165],"sparse":[166],"training":[168],"resources.":[169],"Evaluation":[170],"held-out":[172],"shows":[174],"promising":[175],"results.":[176]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":6},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":4},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2014,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}