{"id":"https://openalex.org/W4405003475","doi":"https://doi.org/10.1186/s12911-024-02790-y","title":"Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study","display_name":"Automated derivation of diagnostic criteria for lung cancer using natural language processing on electronic health records: a pilot study","publication_year":2024,"publication_date":"2024-12-04","ids":{"openalex":"https://openalex.org/W4405003475","doi":"https://doi.org/10.1186/s12911-024-02790-y","pmid":"https://pubmed.ncbi.nlm.nih.gov/39633397"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-024-02790-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02790-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02790-y","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02790-y","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5069993285","display_name":"Andrew Houston","orcid":"https://orcid.org/0000-0001-9973-3818"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I225661044","display_name":"Barts Health NHS Trust","ror":"https://ror.org/00b31g692","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I225661044"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Andrew Houston","raw_affiliation_strings":["Barts Life Sciences, Barts Health NHS Trust, London, UK. andrew.houston4@nhs.net","Digital Environment Research Institute, Queen Mary University of London, London, UK. andrew.houston4@nhs.net","Barts Life Sciences, Barts Health NHS Trust, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Barts Life Sciences, Barts Health NHS Trust, London, UK. andrew.houston4@nhs.net","institution_ids":["https://openalex.org/I225661044"]},{"raw_affiliation_string":"Digital Environment Research Institute, Queen Mary University of London, London, UK. andrew.houston4@nhs.net","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Barts Life Sciences, Barts Health NHS Trust, London, UK","institution_ids":["https://openalex.org/I225661044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065519853","display_name":"Sophie Williams","orcid":"https://orcid.org/0000-0002-2198-7938"},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]},{"id":"https://openalex.org/I225661044","display_name":"Barts Health NHS Trust","ror":"https://ror.org/00b31g692","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I225661044"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophie Williams","raw_affiliation_strings":["Barts Life Sciences, Barts Health NHS Trust, London, UK","Digital Environment Research Institute, Queen Mary University of London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Barts Life Sciences, Barts Health NHS Trust, London, UK","institution_ids":["https://openalex.org/I225661044"]},{"raw_affiliation_string":"Digital Environment Research Institute, Queen Mary University of London, London, UK","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039443046","display_name":"William Ricketts","orcid":"https://orcid.org/0000-0002-0475-0744"},"institutions":[{"id":"https://openalex.org/I225661044","display_name":"Barts Health NHS Trust","ror":"https://ror.org/00b31g692","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I225661044"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"William Ricketts","raw_affiliation_strings":["Respiratory Medicine, Barts Health NHS Trust, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Respiratory Medicine, Barts Health NHS Trust, London, UK","institution_ids":["https://openalex.org/I225661044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088575166","display_name":"Charles Gutteridge","orcid":"https://orcid.org/0000-0002-2749-7008"},"institutions":[{"id":"https://openalex.org/I225661044","display_name":"Barts Health NHS Trust","ror":"https://ror.org/00b31g692","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I225661044"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Charles Gutteridge","raw_affiliation_strings":["Barts Life Sciences, Barts Health NHS Trust, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Barts Life Sciences, Barts Health NHS Trust, London, UK","institution_ids":["https://openalex.org/I225661044"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043563589","display_name":"Chris Tackaberry","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chris Tackaberry","raw_affiliation_strings":["Clinithink Ltd., London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Clinithink Ltd., London, UK","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065435228","display_name":"John Conibear","orcid":"https://orcid.org/0000-0001-5096-7074"},"institutions":[{"id":"https://openalex.org/I225661044","display_name":"Barts Health NHS Trust","ror":"https://ror.org/00b31g692","country_code":"GB","type":"healthcare","lineage":["https://openalex.org/I225661044"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"John Conibear","raw_affiliation_strings":["Barts Cancer Centre, Barts Health NHS Trust, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Barts Cancer Centre, Barts Health NHS Trust, London, UK","institution_ids":["https://openalex.org/I225661044"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5069993285"],"corresponding_institution_ids":["https://openalex.org/I166337079","https://openalex.org/I225661044"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19498582,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"24","issue":"1","first_page":"371","last_page":"371"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.45590001344680786,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.45590001344680786,"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/T11775","display_name":"COVID-19 diagnosis using AI","score":0.0982000008225441,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"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/T10202","display_name":"Lung Cancer Diagnosis and Treatment","score":0.07829999923706055,"subfield":{"id":"https://openalex.org/subfields/2740","display_name":"Pulmonary and Respiratory 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/snomed-ct","display_name":"SNOMED CT","score":0.8044644594192505},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.7033857107162476},{"id":"https://openalex.org/keywords/lung-cancer","display_name":"Lung cancer","score":0.6237301230430603},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.6029112339019775},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.5137287378311157},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5086572766304016},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4309226870536804},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.38486969470977783},{"id":"https://openalex.org/keywords/radiology","display_name":"Radiology","score":0.37232711911201477},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.36300361156463623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.35834628343582153},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.23445183038711548},{"id":"https://openalex.org/keywords/terminology","display_name":"Terminology","score":0.16851696372032166},{"id":"https://openalex.org/keywords/public-health","display_name":"Public health","score":0.12653860449790955}],"concepts":[{"id":"https://openalex.org/C206497026","wikidata":"https://www.wikidata.org/wiki/Q1753883","display_name":"SNOMED CT","level":3,"score":0.8044644594192505},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.7033857107162476},{"id":"https://openalex.org/C2776256026","wikidata":"https://www.wikidata.org/wiki/Q47912","display_name":"Lung cancer","level":2,"score":0.6237301230430603},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.6029112339019775},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5137287378311157},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5086572766304016},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4309226870536804},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.38486969470977783},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.37232711911201477},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.36300361156463623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.35834628343582153},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.23445183038711548},{"id":"https://openalex.org/C547195049","wikidata":"https://www.wikidata.org/wiki/Q1725664","display_name":"Terminology","level":2,"score":0.16851696372032166},{"id":"https://openalex.org/C138816342","wikidata":"https://www.wikidata.org/wiki/Q189603","display_name":"Public health","level":2,"score":0.12653860449790955},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"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/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000328","descriptor_name":"Adult","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000368","descriptor_name":"Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000000981","qualifier_name":"diagnostic imaging","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D008175","descriptor_name":"Lung Neoplasms","qualifier_ui":"Q000175","qualifier_name":"diagnosis","is_major_topic":true},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008875","descriptor_name":"Middle Aged","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010865","descriptor_name":"Pilot Projects","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039061","descriptor_name":"Systematized Nomenclature of Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039061","descriptor_name":"Systematized Nomenclature of Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039061","descriptor_name":"Systematized Nomenclature of Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039061","descriptor_name":"Systematized Nomenclature of Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":4,"locations":[{"id":"doi:10.1186/s12911-024-02790-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02790-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02790-y","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:39633397","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/39633397","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11616170","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11616170","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11616170/pdf/12911_2024_Article_2790.pdf","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":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:doaj.org/article:fbcd42d6ad6b48029bc049e86d162234","is_oa":true,"landing_page_url":"https://doaj.org/article/fbcd42d6ad6b48029bc049e86d162234","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 24, Iss 1, Pp 1-10 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s12911-024-02790-y","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-024-02790-y","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-024-02790-y","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education","score":0.5899999737739563}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307770","display_name":"AstraZeneca","ror":"https://ror.org/04r9x1a08"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4405003475.pdf","grobid_xml":"https://content.openalex.org/works/W4405003475.grobid-xml"},"referenced_works_count":33,"referenced_works":["https://openalex.org/W1481389199","https://openalex.org/W1991361536","https://openalex.org/W2060616607","https://openalex.org/W2066897205","https://openalex.org/W2147728537","https://openalex.org/W2150715124","https://openalex.org/W2321839034","https://openalex.org/W2328176404","https://openalex.org/W2401585477","https://openalex.org/W2403510108","https://openalex.org/W2462432627","https://openalex.org/W2489651338","https://openalex.org/W2519078114","https://openalex.org/W2808563510","https://openalex.org/W2885408863","https://openalex.org/W2903104647","https://openalex.org/W2912971066","https://openalex.org/W3027307807","https://openalex.org/W3036449870","https://openalex.org/W3125144398","https://openalex.org/W3128646645","https://openalex.org/W4200445923","https://openalex.org/W4200573874","https://openalex.org/W4224921946","https://openalex.org/W4239573467","https://openalex.org/W4281826116","https://openalex.org/W4292258173","https://openalex.org/W4297215564","https://openalex.org/W4311513228","https://openalex.org/W4318719070","https://openalex.org/W4376133440","https://openalex.org/W4401475517","https://openalex.org/W4402441511"],"related_works":["https://openalex.org/W2039735462","https://openalex.org/W4297803142","https://openalex.org/W2951665393","https://openalex.org/W2770499767","https://openalex.org/W2295806952","https://openalex.org/W2293521960","https://openalex.org/W2799131595","https://openalex.org/W1530760342","https://openalex.org/W2904009619","https://openalex.org/W2419080317"],"abstract_inverted_index":{"BACKGROUND:":[0],"The":[1,101,189,247,265],"digitisation":[2],"of":[3,10,30,120,186,195,203,215,221,225,239,249,317,326,344],"healthcare":[4],"records":[5,91],"has":[6],"generated":[7],"vast":[8],"amounts":[9],"unstructured":[11,60,83,102,272],"data,":[12],"presenting":[13],"opportunities":[14],"for":[15,56,279,290],"improvements":[16],"in":[17,27,270],"disease":[18],"diagnosis":[19],"when":[20],"clinical":[21,44],"coding":[22],"falls":[23],"short,":[24],"such":[25,206,232],"as":[26,207,233],"the":[28,94,99,123,152,163,169,187,204,213,226,237,250,256,321,324,345],"recording":[29],"patient":[31,292],"symptoms.":[32],"This":[33],"study":[34,322],"presents":[35],"an":[36,193,200],"approach":[37],"using":[38,106],"natural":[39],"language":[40],"processing":[41],"to":[42,51,98,110,116,128,144,148,151,161,167,255,275,300,309],"extract":[43,111],"concepts":[45,329],"from":[46,59,87],"free-text":[47],"which":[48,113],"are":[49],"used":[50,127],"automatically":[52],"form":[53,168],"diagnostic":[54,170,277,318],"criteria":[55,278,346],"lung":[57,179,217,240,280],"cancer":[58,180,218,258],"secondary-care":[61,273],"data.":[62],"METHODS:":[63],"Patients":[64],"aged":[65],"40":[66],"and":[67,77,82,133,209,229,294,314,340],"above":[68],"who":[69],"underwent":[70],"a":[71,134,210,216,311,338],"chest":[72],"x-ray":[73],"(CXR)":[74],"between":[75],"2016":[76],"2022":[78],"were":[79,85,104,114,175],"included.":[80],"ICD-10":[81],"data":[84,103,274,308],"pulled":[86],"their":[88],"electronic":[89],"health":[90],"(EHRs)":[92],"over":[93],"preceding":[95],"12":[96,184],"months":[97,185],"CXR.":[100,188],"processed":[105],"named":[107],"entity":[108],"recognition":[109],"symptoms,":[112],"mapped":[115],"SNOMED-CT":[117,124,328],"codes.":[118],"Subsumption":[119],"features":[121,132,147,166],"up":[122],"hierarchy":[125],"was":[126,142,159,253],"mitigate":[129],"against":[130],"sparse":[131],"frequency-based":[135],"criteria,":[136],"combined":[137],"with":[138,177,335],"univariate":[139],"logarithmic":[140],"probabilities,":[141],"applied":[143],"select":[145],"candidate":[146],"take":[149],"forward":[150],"model":[153,191,252],"development":[154,316],"phase.":[155],"A":[156],"genetic":[157],"algorithm":[158],"employed":[160],"identify":[162],"most":[164],"discriminating":[165],"criteria.":[171,319],"RESULTS:":[172],"75002":[173],"patients":[174],"included,":[176],"1012":[178],"diagnoses":[181,244],"made":[182],"within":[183],"best-performing":[190],"achieved":[192],"AUROC":[194],"0.72.":[196],"Results":[197],"showed":[198],"that":[199,333],"existing":[201,257,283],"'disorder":[202,224],"lung',":[205],"pneumonia,":[208],"'cough'":[211],"increased":[212],"probability":[214],"diagnosis.":[219],"'Anomalies":[220],"great":[222],"vessel',":[223],"retroperitoneal":[227],"compartment'":[228],"'context-dependent":[230],"findings',":[231],"pain,":[234],"statistically":[235],"reduced":[236],"risk":[238,259,284],"cancer,":[241,281],"making":[242],"other":[243],"more":[245,312,341],"likely.":[246],"performance":[248],"developed":[251],"compared":[254],"scores,":[260],"demonstrating":[261],"superior":[262],"performance.":[263],"CONCLUSIONS:":[264],"proposed":[266],"methods":[267],"demonstrated":[268],"success":[269],"leveraging":[271],"derive":[276],"outperforming":[282],"tools.":[285],"These":[286],"advancements":[287],"show":[288],"potential":[289],"enhancing":[291],"care":[293,307],"results.":[295],"However,":[296],"it":[297],"is":[298],"essential":[299],"tackle":[301],"specific":[302],"limitations":[303],"by":[304],"integrating":[305],"primary":[306],"ensure":[310],"thorough":[313],"unbiased":[315],"Moreover,":[320],"highlights":[323],"importance":[325],"contextualising":[327],"into":[330],"meaningful":[331],"terminology":[332],"resonates":[334],"clinicians,":[336],"facilitating":[337],"clearer":[339],"tangible":[342],"understanding":[343],"applied.":[347]},"counts_by_year":[],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}
