{"id":"https://openalex.org/W2343412830","doi":"https://doi.org/10.1109/bhi.2016.7455851","title":"Identifying peripheral arterial disease cases using natural language processing of clinical notes","display_name":"Identifying peripheral arterial disease cases using natural language processing of clinical notes","publication_year":2016,"publication_date":"2016-02-01","ids":{"openalex":"https://openalex.org/W2343412830","doi":"https://doi.org/10.1109/bhi.2016.7455851","mag":"2343412830"},"language":"en","primary_location":{"id":"doi:10.1109/bhi.2016.7455851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5248569","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5014602642","display_name":"Naveed Afzal","orcid":"https://orcid.org/0000-0001-8878-0256"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Naveed Afzal","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063986559","display_name":"Sunghwan Sohn","orcid":"https://orcid.org/0000-0001-8256-2602"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Sunghwan Sohn","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008305898","display_name":"S.E. Abram","orcid":null},"institutions":[{"id":"https://openalex.org/I4210120349","display_name":"University of Minnesota Rochester","ror":"https://ror.org/02rh4fw73","country_code":"US","type":"education","lineage":["https://openalex.org/I4210120349"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sara Abram","raw_affiliation_strings":["Division of Cardiovascular Diseases, Rochester, MN"],"affiliations":[{"raw_affiliation_string":"Division of Cardiovascular Diseases, Rochester, MN","institution_ids":["https://openalex.org/I4210120349"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101585391","display_name":"Hongfang Liu","orcid":"https://orcid.org/0000-0003-2570-3741"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hongfang Liu","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065025844","display_name":"Iftikhar J. Kullo","orcid":"https://orcid.org/0000-0002-6524-3471"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iftikhar J. Kullo","raw_affiliation_strings":["Division of Biomedical Statistics and Informatics"],"affiliations":[{"raw_affiliation_string":"Division of Biomedical Statistics and Informatics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067384989","display_name":"Adelaide M. Arruda\u2010Olson","orcid":"https://orcid.org/0000-0001-9541-9899"},"institutions":[{"id":"https://openalex.org/I4210120349","display_name":"University of Minnesota Rochester","ror":"https://ror.org/02rh4fw73","country_code":"US","type":"education","lineage":["https://openalex.org/I4210120349"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Adelaide M. Arruda-Olson","raw_affiliation_strings":["Division of Cardiovascular Diseases, Rochester, MN"],"affiliations":[{"raw_affiliation_string":"Division of Cardiovascular Diseases, Rochester, MN","institution_ids":["https://openalex.org/I4210120349"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5014602642"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.8276,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.89882529,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"131"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10926","display_name":"Peripheral Artery Disease Management","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T10926","display_name":"Peripheral Artery Disease Management","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/T12664","display_name":"Clinical practice guidelines implementation","score":0.9940999746322632,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"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/T11064","display_name":"Antiplatelet Therapy and Cardiovascular Diseases","score":0.9939000010490417,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/gold-standard","display_name":"Gold standard (test)","score":0.7458319664001465},{"id":"https://openalex.org/keywords/chart","display_name":"Chart","score":0.7123838067054749},{"id":"https://openalex.org/keywords/arterial-disease","display_name":"Arterial disease","score":0.685657262802124},{"id":"https://openalex.org/keywords/predictive-value","display_name":"Predictive value","score":0.6315354704856873},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.5576683878898621},{"id":"https://openalex.org/keywords/peripheral","display_name":"Peripheral","score":0.5215451717376709},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.5177052021026611},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.5028561949729919},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49123138189315796},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4350195527076721},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3793300986289978},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.34230417013168335},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.2823324203491211},{"id":"https://openalex.org/keywords/surgery","display_name":"Surgery","score":0.21241942048072815},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.19411227107048035},{"id":"https://openalex.org/keywords/vascular-disease","display_name":"Vascular disease","score":0.17919057607650757},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.16759324073791504},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.12034454941749573}],"concepts":[{"id":"https://openalex.org/C40993552","wikidata":"https://www.wikidata.org/wiki/Q514654","display_name":"Gold standard (test)","level":2,"score":0.7458319664001465},{"id":"https://openalex.org/C190812933","wikidata":"https://www.wikidata.org/wiki/Q28923","display_name":"Chart","level":2,"score":0.7123838067054749},{"id":"https://openalex.org/C3018348675","wikidata":"https://www.wikidata.org/wiki/Q4797557","display_name":"Arterial disease","level":3,"score":0.685657262802124},{"id":"https://openalex.org/C3019719930","wikidata":"https://www.wikidata.org/wiki/Q3910099","display_name":"Predictive value","level":2,"score":0.6315354704856873},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.5576683878898621},{"id":"https://openalex.org/C46762472","wikidata":"https://www.wikidata.org/wiki/Q178648","display_name":"Peripheral","level":2,"score":0.5215451717376709},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.5177052021026611},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.5028561949729919},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49123138189315796},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4350195527076721},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3793300986289978},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.34230417013168335},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.2823324203491211},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"score":0.21241942048072815},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.19411227107048035},{"id":"https://openalex.org/C2777466421","wikidata":"https://www.wikidata.org/wiki/Q1266890","display_name":"Vascular disease","level":2,"score":0.17919057607650757},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.16759324073791504},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.12034454941749573},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/bhi.2016.7455851","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bhi.2016.7455851","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE-EMBS International Conference on Biomedical and Health Informatics (BHI)","raw_type":"proceedings-article"},{"id":"pmh:oai:pubmedcentral.nih.gov:5248569","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5248569","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE EMBS Int Conf Biomed Health Inform","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:5248569","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/5248569","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE EMBS Int Conf Biomed Health Inform","raw_type":"Text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337337","display_name":"National Institute on Aging","ror":"https://ror.org/049v75w11"},{"id":"https://openalex.org/F4320337354","display_name":"National Institute of General Medical Sciences","ror":"https://ror.org/04q48ey07"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1177723","https://openalex.org/W16586333","https://openalex.org/W70066085","https://openalex.org/W70606898","https://openalex.org/W86609720","https://openalex.org/W242743621","https://openalex.org/W1489596328","https://openalex.org/W1541322638","https://openalex.org/W1602694398","https://openalex.org/W1871067837","https://openalex.org/W1969759334","https://openalex.org/W2011565385","https://openalex.org/W2019077583","https://openalex.org/W2023248478","https://openalex.org/W2030436945","https://openalex.org/W2030597870","https://openalex.org/W2053870274","https://openalex.org/W2062610866","https://openalex.org/W2078116468","https://openalex.org/W2116241811","https://openalex.org/W2121593241","https://openalex.org/W2121920862","https://openalex.org/W2140136269","https://openalex.org/W2144663588","https://openalex.org/W2146089916","https://openalex.org/W2163249903","https://openalex.org/W2167976315","https://openalex.org/W2245472176","https://openalex.org/W2887712073","https://openalex.org/W6600052039","https://openalex.org/W6600691311","https://openalex.org/W6602826705","https://openalex.org/W6603505381","https://openalex.org/W6629533874","https://openalex.org/W6636107726"],"related_works":["https://openalex.org/W4387497383","https://openalex.org/W3173606202","https://openalex.org/W3110381201","https://openalex.org/W2948807893","https://openalex.org/W2778153218","https://openalex.org/W1531601525","https://openalex.org/W832193342","https://openalex.org/W2520906497","https://openalex.org/W2111732465","https://openalex.org/W4288047649"],"abstract_inverted_index":{"Peripheral":[0],"arterial":[1],"disease":[2,7],"(PAD)":[3],"is":[4,24],"a":[5,35,60],"chronic":[6],"that":[8,63],"affects":[9],"millions":[10],"of":[11,44,108],"people":[12],"worldwide.":[13],"Ascertaining":[14],"PAD":[15,45,77,109],"status":[16,46,78],"from":[17,47,79],"clinical":[18,48,80],"notes":[19,49,81],"by":[20,66],"manual":[21,71],"chart":[22,72],"review":[23],"labor":[25],"intensive":[26],"and":[27,55,94,105,116],"time":[28],"consuming.":[29],"In":[30],"this":[31],"paper,":[32],"we":[33],"describe":[34],"natural":[36],"language":[37],"processing":[38],"(NLP)":[39],"algorithm":[40],"for":[41,102,113],"automated":[42,106],"ascertainment":[43,107],"using":[50],"predetermined":[51],"criteria.":[52],"We":[53],"developed":[54],"evaluated":[56],"our":[57],"system":[58,75],"against":[59],"gold":[61],"standard":[62],"was":[64],"created":[65],"medical":[67],"experts":[68],"based":[69],"on":[70],"review.":[73],"Our":[74],"ascertained":[76],"with":[82,111],"high":[83],"sensitivity":[84],"(0.96),":[85],"positive":[86],"predictive":[87,91],"value":[88,92],"(0.92),":[89],"negative":[90],"(0.99)":[93],"specificity":[95],"(0.98).":[96],"NLP":[97],"approaches":[98],"can":[99],"be":[100],"used":[101],"rapid,":[103],"efficient":[104],"cases":[110],"implications":[112],"patient":[114],"care":[115],"epidemiologic":[117],"research.":[118]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":4},{"year":2019,"cited_by_count":3},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":4}],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2016-06-24T00:00:00"}
