{"id":"https://openalex.org/W2397058177","doi":"https://doi.org/10.3233/978-1-61499-512-8-50","title":"Automatic extraction of numerical values from unstructured data in EHRs","display_name":"Automatic extraction of numerical values from unstructured data in EHRs","publication_year":2015,"publication_date":"2015-01-01","ids":{"openalex":"https://openalex.org/W2397058177","doi":"https://doi.org/10.3233/978-1-61499-512-8-50","mag":"2397058177","pmid":"https://pubmed.ncbi.nlm.nih.gov/25991100"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-512-8-50","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-512-8-50","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5067903640","display_name":"\u00c9lise Bigeard","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Bigeard Elise","raw_affiliation_strings":["STL, CNRS UMR 8163, Universit\u00e9 Lille 3, France"],"affiliations":[{"raw_affiliation_string":"STL, CNRS UMR 8163, Universit\u00e9 Lille 3, France","institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I1294671590"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043370094","display_name":"Vianney Jouhet","orcid":"https://orcid.org/0000-0001-5272-2265"},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210106115","display_name":"Bordeaux Population Health","ror":"https://ror.org/00xzzba89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I15057530","https://openalex.org/I154526488","https://openalex.org/I4210106115"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jouhet Vianney","raw_affiliation_strings":["ERIAS, INSERM U897, ISPED, Universit\u00e9 Bordeaux, Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"ERIAS, INSERM U897, ISPED, Universit\u00e9 Bordeaux, Bordeaux, France","institution_ids":["https://openalex.org/I4210106115","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Mougin Fleur","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210106115","display_name":"Bordeaux Population Health","ror":"https://ror.org/00xzzba89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I15057530","https://openalex.org/I154526488","https://openalex.org/I4210106115"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Mougin Fleur","raw_affiliation_strings":["ERIAS, INSERM U897, ISPED, Universit\u00e9 Bordeaux, Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"ERIAS, INSERM U897, ISPED, Universit\u00e9 Bordeaux, Bordeaux, France","institution_ids":["https://openalex.org/I4210106115","https://openalex.org/I154526488"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Thiessard Frantz","orcid":null},"institutions":[{"id":"https://openalex.org/I154526488","display_name":"Inserm","ror":"https://ror.org/02vjkv261","country_code":"FR","type":"government","lineage":["https://openalex.org/I154526488"]},{"id":"https://openalex.org/I4210106115","display_name":"Bordeaux Population Health","ror":"https://ror.org/00xzzba89","country_code":"FR","type":"facility","lineage":["https://openalex.org/I15057530","https://openalex.org/I154526488","https://openalex.org/I4210106115"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Thiessard Frantz","raw_affiliation_strings":["ERIAS, INSERM U897, ISPED, Universit\u00e9 Bordeaux, Bordeaux, France"],"affiliations":[{"raw_affiliation_string":"ERIAS, INSERM U897, ISPED, Universit\u00e9 Bordeaux, Bordeaux, France","institution_ids":["https://openalex.org/I4210106115","https://openalex.org/I154526488"]}]},{"author_position":"last","author":{"id":null,"display_name":"Grabar Natalia","orcid":null},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I2279609970","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938","country_code":"FR","type":"education","lineage":["https://openalex.org/I2279609970"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Grabar Natalia","raw_affiliation_strings":["STL, CNRS UMR 8163, Universit\u00e9 Lille 3, France"],"affiliations":[{"raw_affiliation_string":"STL, CNRS UMR 8163, Universit\u00e9 Lille 3, France","institution_ids":["https://openalex.org/I2279609970","https://openalex.org/I1294671590"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5067903640"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I2279609970"],"apc_list":null,"apc_paid":null,"fwci":1.7048,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.85582477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":"210","issue":null,"first_page":"50","last_page":"4"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9914000034332275,"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":0.9914000034332275,"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":0.9835000038146973,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9832000136375427,"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/computer-science","display_name":"Computer science","score":0.695530891418457},{"id":"https://openalex.org/keywords/narrative","display_name":"Narrative","score":0.5868655443191528},{"id":"https://openalex.org/keywords/unstructured-data","display_name":"Unstructured data","score":0.5686324238777161},{"id":"https://openalex.org/keywords/recall","display_name":"Recall","score":0.5232223868370056},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.5039419531822205},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4777485728263855},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4708554148674011},{"id":"https://openalex.org/keywords/plan","display_name":"Plan (archaeology)","score":0.46028485894203186},{"id":"https://openalex.org/keywords/order","display_name":"Order (exchange)","score":0.44301557540893555},{"id":"https://openalex.org/keywords/precision-and-recall","display_name":"Precision and recall","score":0.43309804797172546},{"id":"https://openalex.org/keywords/measure","display_name":"Measure (data warehouse)","score":0.4165370464324951},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.39904800057411194},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.37776145339012146},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.16194623708724976},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.08560499548912048},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07982122898101807}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.695530891418457},{"id":"https://openalex.org/C199033989","wikidata":"https://www.wikidata.org/wiki/Q1318295","display_name":"Narrative","level":2,"score":0.5868655443191528},{"id":"https://openalex.org/C2781252014","wikidata":"https://www.wikidata.org/wiki/Q1141900","display_name":"Unstructured data","level":3,"score":0.5686324238777161},{"id":"https://openalex.org/C100660578","wikidata":"https://www.wikidata.org/wiki/Q18733","display_name":"Recall","level":2,"score":0.5232223868370056},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.5039419531822205},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4777485728263855},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4708554148674011},{"id":"https://openalex.org/C2776505523","wikidata":"https://www.wikidata.org/wiki/Q4785468","display_name":"Plan (archaeology)","level":2,"score":0.46028485894203186},{"id":"https://openalex.org/C182306322","wikidata":"https://www.wikidata.org/wiki/Q1779371","display_name":"Order (exchange)","level":2,"score":0.44301557540893555},{"id":"https://openalex.org/C81669768","wikidata":"https://www.wikidata.org/wiki/Q2359161","display_name":"Precision and recall","level":2,"score":0.43309804797172546},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.4165370464324951},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.39904800057411194},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.37776145339012146},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.16194623708724976},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.08560499548912048},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07982122898101807},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C180747234","wikidata":"https://www.wikidata.org/wiki/Q23373","display_name":"Cognitive psychology","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D005602","descriptor_name":"France","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005602","descriptor_name":"France","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005602","descriptor_name":"France","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008498","descriptor_name":"Medical Record Linkage","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008498","descriptor_name":"Medical Record Linkage","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D008498","descriptor_name":"Medical Record Linkage","qualifier_ui":"Q000379","qualifier_name":"methods","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":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018875","descriptor_name":"Vocabulary, Controlled","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":"Q000458","qualifier_name":"organization & administration","is_major_topic":false},{"descriptor_ui":"D062527","descriptor_name":"Meaningful Use","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062527","descriptor_name":"Meaningful Use","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D062527","descriptor_name":"Meaningful Use","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.3233/978-1-61499-512-8-50","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-512-8-50","pdf_url":null,"source":{"id":"https://openalex.org/S4210179765","display_name":"Studies in health technology and informatics","issn_l":"0926-9630","issn":["0926-9630","1879-8365"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Studies in Health Technology and Informatics","raw_type":"book-chapter"},{"id":"pmid:25991100","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25991100","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":"Studies in health technology and informatics","raw_type":null},{"id":"pmh:oai:HAL:hal-01484996v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-01484996","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Stud Health Technol Inform. 2015, May 2015, Madrid, Spain. pp.50-54","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7900000214576721,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":9,"referenced_works":["https://openalex.org/W55104824","https://openalex.org/W1568814384","https://openalex.org/W2019607817","https://openalex.org/W2031445920","https://openalex.org/W2101896447","https://openalex.org/W2133964488","https://openalex.org/W2160986985","https://openalex.org/W2404021945","https://openalex.org/W2434847941"],"related_works":["https://openalex.org/W2358294942","https://openalex.org/W2030910246","https://openalex.org/W4389912246","https://openalex.org/W4205553786","https://openalex.org/W2372366649","https://openalex.org/W4367460280","https://openalex.org/W3155464240","https://openalex.org/W4362731990","https://openalex.org/W2004087619","https://openalex.org/W1516746680"],"abstract_inverted_index":{"Clinical":[0],"data":[1,25],"recorded":[2],"in":[3,51,101],"modern":[4],"EHRs":[5],"are":[6,112],"very":[7],"rich,":[8],"although":[9],"their":[10],"secondary":[11],"use":[12,74,125],"research":[13],"and":[14,22,55,59,69,87,89,118,121],"medical":[15],"decision":[16],"may":[17],"be":[18],"complicated":[19],"(eg,":[20],"missing":[21],"incorrect":[23],"data,":[24],"spread":[26],"over":[27],"several":[28],"clinical":[29,130],"databases,":[30],"information":[31],"available":[32],"only":[33],"within":[34],"unstructured":[35],"narrative":[36,49],"documents).":[37],"We":[38,71],"propose":[39,72],"to":[40,45,53,60,73,103,124],"address":[41],"the":[42,46,64,80,94,126],"issue":[43],"related":[44],"processing":[47],"of":[48,82,96],"documents":[50],"order":[52,102],"detect":[54],"extract":[56],"numerical":[57,85],"values":[58],"associate":[61],"them":[62,100],"with":[63,128],"corresponding":[65],"concepts":[66],"(or":[67],"themes)":[68],"units.":[70],"a":[75,90],"CRF":[76],"supervised":[77],"categorisation":[78],"for":[79,93],"detection":[81],"segments":[83,98],"(themes,":[84],"sequences":[86],"units)":[88],"rules-based":[91],"system":[92,127],"association":[95],"these":[97],"among":[99],"build":[104],"semantically":[105],"meaningful":[106],"sequences.":[107],"The":[108],"average":[109],"results":[110],"obtained":[111],"competitive":[113],"(0.96":[114],"precision,":[115],"0.78":[116],"recall,":[117],"0.86":[119],"F-measure)":[120],"we":[122],"plan":[123],"larger":[129],"data.":[131]},"counts_by_year":[{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-04-16T08:26:57.006410","created_date":"2025-10-10T00:00:00"}