{"id":"https://openalex.org/W4403768703","doi":"https://doi.org/10.1016/j.procs.2024.10.219","title":"Using LLMs and ontologies to extract causal relationships from medical abstracts","display_name":"Using LLMs and ontologies to extract causal relationships from medical abstracts","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4403768703","doi":"https://doi.org/10.1016/j.procs.2024.10.219"},"language":"en","primary_location":{"id":"doi:10.1016/j.procs.2024.10.219","doi":"https://doi.org/10.1016/j.procs.2024.10.219","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.10.219","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Procedia Computer Science","raw_type":"journal-article"},"volume":null,"type":"conference-paper","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.1016/j.procs.2024.10.219","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5114408286","display_name":"Alexandru Lecu","orcid":"https://orcid.org/0009-0007-0393-1897","observed_orcids":["https://orcid.org/0009-0007-0393-1897"]},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]},{"id":"https://openalex.org/I4210118830","display_name":"Digital Science (United Kingdom)","ror":"https://ror.org/02ktfc112","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210112888","https://openalex.org/I4210118830"]}],"countries":["GB","RO"],"is_corresponding":true,"raw_author_name":"Alexandru Lecu","raw_affiliation_strings":["Digital Science & Research Solutions Ltd, London, United Kingdom","Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Science & Research Solutions Ltd, London, United Kingdom","institution_ids":["https://openalex.org/I4210118830"]},{"raw_affiliation_string":"Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085701846","display_name":"Adrian Petru Groza","orcid":"https://orcid.org/0000-0003-0143-5631","observed_orcids":["https://orcid.org/0000-0003-0143-5631"]},"institutions":[{"id":"https://openalex.org/I158333966","display_name":"Technical University of Cluj-Napoca","ror":"https://ror.org/03r8nwp71","country_code":"RO","type":"education","lineage":["https://openalex.org/I158333966"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Adrian Groza","raw_affiliation_strings":["Technical University of Cluj-Napoca, Cluj-Napoca, Romania"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Cluj-Napoca, Cluj-Napoca, Romania","institution_ids":["https://openalex.org/I158333966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012357306","display_name":"Lezan Hawizy","orcid":"https://orcid.org/0000-0002-0932-3135","observed_orcids":["https://orcid.org/0000-0002-0932-3135"]},"institutions":[{"id":"https://openalex.org/I4210118830","display_name":"Digital Science (United Kingdom)","ror":"https://ror.org/02ktfc112","country_code":"GB","type":"company","lineage":["https://openalex.org/I4210112888","https://openalex.org/I4210118830"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lezan Hawizy","raw_affiliation_strings":["Digital Science & Research Solutions Ltd, London, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Digital Science & Research Solutions Ltd, London, United Kingdom","institution_ids":["https://openalex.org/I4210118830"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5114408286"],"corresponding_institution_ids":["https://openalex.org/I158333966","https://openalex.org/I4210118830"],"apc_list":null,"apc_paid":null,"fwci":10.843,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.98193851,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":"244","issue":null,"first_page":"443","last_page":"452"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9990000128746033,"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":0.9990000128746033,"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/T10028","display_name":"Topic Modeling","score":0.00019999999494757503,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.00019999999494757503,"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/medical-abstracts","display_name":"medical abstracts","score":0.9950000047683716},{"id":"https://openalex.org/keywords/knowledge-graphs","display_name":"knowledge graphs","score":0.8759999871253967},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9359999895095825},{"id":"https://openalex.org/keywords/gpt-fine-tuning","display_name":"GPT fine-tuning","score":0.8799999952316284},{"id":"https://openalex.org/keywords/ontology-information-science","display_name":"ontology (information science)","score":0.9739999771118164},{"id":"https://openalex.org/keywords/clinical-text-mining","display_name":"clinical text mining","score":0.48100000619888306}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8612147569656372},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40936514735221863}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1016/j.procs.2024.10.219","doi":"https://doi.org/10.1016/j.procs.2024.10.219","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.10.219","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Procedia Computer Science","raw_type":"journal-article"},{"id":"pmh:oai:arXiv.org:2502.11108","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2502.11108","pdf_url":"https://arxiv.org/pdf/2502.11108","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1016/j.procs.2024.10.219","doi":"https://doi.org/10.1016/j.procs.2024.10.219","is_oa":true,"landing_page_url":"https://doi.org/10.1016/j.procs.2024.10.219","pdf_url":null,"source":{"id":"https://openalex.org/S120348307","display_name":"Procedia Computer Science","issn_l":"1877-0509","issn":["1877-0509"],"is_oa":true,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","cwts-core","jufo-1","norway-1"],"host_organization":"https://openalex.org/P4310320990","host_organization_name":"Elsevier BV","host_organization_lineage":["https://openalex.org/P4310320990"],"host_organization_lineage_names":["Elsevier BV"],"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":"Procedia Computer Science","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.5683000087738037,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"study_designs":[],"awards":[{"id":"https://openalex.org/G8657060113","display_name":null,"funder_award_id":"PN-III-P2-2.1-PED-2021-2709","funder_id":"https://openalex.org/F4320323983","funder_display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii"}],"funders":[{"id":"https://openalex.org/F4320323983","display_name":"Unitatea Executiva pentru Finantarea Invatamantului Superior, a Cercetarii, Dezvoltarii si Inovarii","ror":"https://ror.org/01q7jq182"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1502139053","https://openalex.org/W2076581021","https://openalex.org/W2152909313","https://openalex.org/W2168120333","https://openalex.org/W2896457183","https://openalex.org/W2963341956","https://openalex.org/W3027879771","https://openalex.org/W3040629146","https://openalex.org/W3098425262","https://openalex.org/W4318302279","https://openalex.org/W4385247369","https://openalex.org/W4385287322","https://openalex.org/W4388144143","https://openalex.org/W4389520249","https://openalex.org/W4391407054","https://openalex.org/W4396790435","https://openalex.org/W4396818811","https://openalex.org/W4399305008","https://openalex.org/W4404792917"],"related_works":["https://openalex.org/W7125901821","https://openalex.org/W2145870355","https://openalex.org/W4213303779","https://openalex.org/W7223185478","https://openalex.org/W4393097403","https://openalex.org/W4413079820","https://openalex.org/W4405920904","https://openalex.org/W4390215181","https://openalex.org/W4406894860","https://openalex.org/W4362544486"],"abstract_inverted_index":{"The":[0],"substantiation":[1],"of":[2,58,72],"the":[3,27,56,70],"causal":[4,59],"relationships":[5,39,60,74],"behind":[6],"its":[7],"development":[8],"is":[9],"very":[10],"important":[11],"in":[12,26],"identifying":[13],"possible":[14],"interventions":[15],"and":[16,46,69],"early":[17],"treatment.":[18],"Knowledge":[19],"Graphs":[20],"(KG)":[21],"play":[22],"a":[23,51,65,76],"crucial":[24],"role":[25],"medical":[28,62],"research":[29],"domain":[30],"by":[31],"organizing":[32],"data":[33],"into":[34,75],"interconnected":[35],"structures":[36],"that":[37,54],"represent":[38],"between":[40],"entities":[41],"such":[42],"as":[43],"disease,":[44],"treatments,":[45],"progressions.":[47],"This":[48],"paper":[49],"shows":[50],"complete":[52],"workflow":[53],"demonstrates":[55],"extraction":[57],"from":[61],"abstracts":[63],"using":[64],"fine-tuned":[66],"GPT-based":[67],"model":[68],"integration":[71],"these":[73],"KG.":[77]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":5}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-10-26T00:00:00"}
