{"id":"https://openalex.org/W3014148491","doi":"https://doi.org/10.1145/3341105.3374000","title":"Rule-based extraction of family history information from clinical notes","display_name":"Rule-based extraction of family history information from clinical notes","publication_year":2020,"publication_date":"2020-03-29","ids":{"openalex":"https://openalex.org/W3014148491","doi":"https://doi.org/10.1145/3341105.3374000","mag":"3014148491"},"language":"en","primary_location":{"id":"doi:10.1145/3341105.3374000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"},"type":"conference-paper","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/A5090944649","display_name":"Jo\u00e3o Rafael Almeida","orcid":"https://orcid.org/0000-0003-0729-2264"},"institutions":[{"id":"https://openalex.org/I11019714","display_name":"Universidade da Coru\u00f1a","ror":"https://ror.org/01qckj285","country_code":"ES","type":"education","lineage":["https://openalex.org/I11019714"]},{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["ES","PT"],"is_corresponding":false,"raw_author_name":"Jo\u00e3o Rafael Almeida","raw_affiliation_strings":["University of Aveiro, Aveiro, Portugal and University of A Coru\u00f1a, A Coru\u00f1a, Spain"],"raw_orcid":"https://orcid.org/0000-0003-0729-2264","affiliations":[{"raw_affiliation_string":"University of Aveiro, Aveiro, Portugal and University of A Coru\u00f1a, A Coru\u00f1a, Spain","institution_ids":["https://openalex.org/I11019714","https://openalex.org/I60858718"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073280030","display_name":"S\u00e9rgio Matos","orcid":"https://orcid.org/0000-0003-1941-3983"},"institutions":[{"id":"https://openalex.org/I60858718","display_name":"University of Aveiro","ror":"https://ror.org/00nt41z93","country_code":"PT","type":"education","lineage":["https://openalex.org/I60858718"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"S\u00e9rgio Matos","raw_affiliation_strings":["University of Aveiro, Aveiro, Portugal"],"raw_orcid":"https://orcid.org/0000-0003-1941-3983","affiliations":[{"raw_affiliation_string":"University of Aveiro, Aveiro, Portugal","institution_ids":["https://openalex.org/I60858718"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":12,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"670","last_page":"675"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9990000128746033,"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":0.9990000128746033,"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":0.9937999844551086,"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":0.9933000206947327,"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/relevance","display_name":"Relevance (law)","score":0.6906222701072693},{"id":"https://openalex.org/keywords/information-extraction","display_name":"Information extraction","score":0.6361147165298462},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6209381818771362},{"id":"https://openalex.org/keywords/family-history","display_name":"Family history","score":0.607891857624054},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.6007582545280457},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.48616668581962585},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45341265201568604},{"id":"https://openalex.org/keywords/relationship-extraction","display_name":"Relationship extraction","score":0.45012781023979187},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.43769723176956177},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3973828852176666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3679511547088623},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2449832260608673},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.1754874289035797}],"concepts":[{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6906222701072693},{"id":"https://openalex.org/C195807954","wikidata":"https://www.wikidata.org/wiki/Q1662562","display_name":"Information extraction","level":2,"score":0.6361147165298462},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6209381818771362},{"id":"https://openalex.org/C2781179581","wikidata":"https://www.wikidata.org/wiki/Q2857712","display_name":"Family history","level":2,"score":0.607891857624054},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.6007582545280457},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.48616668581962585},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45341265201568604},{"id":"https://openalex.org/C153604712","wikidata":"https://www.wikidata.org/wiki/Q7310755","display_name":"Relationship extraction","level":3,"score":0.45012781023979187},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.43769723176956177},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3973828852176666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3679511547088623},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2449832260608673},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.1754874289035797},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3341105.3374000","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3341105.3374000","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 35th Annual ACM Symposium on Applied Computing","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.6399999856948853}],"awards":[{"id":"https://openalex.org/G1063523350","display_name":null,"funder_award_id":"POCI-01-0145-FEDER- 016385","funder_id":"https://openalex.org/F4320335322","funder_display_name":"European Regional Development Fund"},{"id":"https://openalex.org/G2340101600","display_name":null,"funder_award_id":"806968","funder_id":"https://openalex.org/F4320326631","funder_display_name":"Innovative Medicines Initiative"}],"funders":[{"id":"https://openalex.org/F4320326631","display_name":"Innovative Medicines Initiative","ror":"https://ror.org/019af4n30"},{"id":"https://openalex.org/F4320335322","display_name":"European Regional Development Fund","ror":"https://ror.org/00k4n6c32"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W86609720","https://openalex.org/W1607983314","https://openalex.org/W1608737606","https://openalex.org/W2009467402","https://openalex.org/W2028148462","https://openalex.org/W2096797897","https://openalex.org/W2123442489","https://openalex.org/W2143017621","https://openalex.org/W2143902665","https://openalex.org/W2906432481","https://openalex.org/W2996388935"],"related_works":["https://openalex.org/W187932805","https://openalex.org/W842810586","https://openalex.org/W4319940250","https://openalex.org/W2352298027","https://openalex.org/W2092919065","https://openalex.org/W3138801416","https://openalex.org/W4236762297","https://openalex.org/W2444550338","https://openalex.org/W2369351710","https://openalex.org/W2594363579"],"abstract_inverted_index":{"One":[0],"of":[1,4,41,116,123,135,156,161],"the":[2,12,17,46,90,95,121,133,136,140,159],"features":[3],"Electronic":[5],"Health":[6],"Records":[7],"(EHR)":[8],"is":[9],"to":[10,19,45,63,88,101,151],"store":[11],"patient":[13,33],"clinical":[14,24,73],"data.":[15],"Despite":[16],"efforts":[18],"structure":[20],"all":[21],"this":[22,42,65],"data,":[23],"reports":[25],"and":[26,50,57,67,103,118,126,128,130,142],"notes":[27,74],"containing":[28],"essential":[29],"information":[30,43,71],"about":[31],"each":[32],"are":[34],"still":[35],"stored":[36],"in":[37,78,94],"free":[38],"text.":[39],"Some":[40],"refers":[44],"family's":[47],"health":[48],"history":[49,70],"may":[51],"be":[52],"highly":[53],"relevance":[54],"for":[55,120,132],"diagnosis":[56],"prognosis.":[58],"We":[59],"proposed":[60,107],"two":[61,112],"methodologies":[62,147],"unify":[64],"knowledge":[66],"extract":[68],"family":[69,91,124,137,164],"from":[72],"using":[75],"rule-based":[76],"techniques":[77],"natural":[79],"language":[80],"processing":[81],"(NLP).":[82],"With":[83],"these":[84],"methods,":[85],"we":[86],"intend":[87],"collect":[89],"members":[92,125],"mentioned":[93],"text":[96],"as":[97,99],"well":[98],"associations":[100],"diseases":[102],"living":[104,144],"status.":[105,145],"The":[106],"methods":[108],"were":[109],"evaluated":[110],"into":[111],"stages,":[113],"demonstrating":[114],"F-scores":[115],"0.72":[117],"0.74":[119],"discovery":[122],"observations,":[127,141],"0.62":[129],"0.52":[131],"detection":[134,160],"relations":[138],"with":[139],"their":[143],"Our":[146],"raised":[148],"new":[149],"strategies":[150],"automatically":[152],"annotate":[153],"large":[154],"amounts":[155],"EHRs,":[157],"facilitating":[158],"comorbidities":[162],"within":[163],"relations.":[165]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}