{"id":"https://openalex.org/W7166879040","doi":"https://doi.org/10.18653/v1/2026.bionlp-1.3","title":"Using Synthetic Records to Improve Automated Identification of Seizure Freedom in Clinical Text about People with Epilepsy","display_name":"Using Synthetic Records to Improve Automated Identification of Seizure Freedom in Clinical Text about People with Epilepsy","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7166879040","doi":"https://doi.org/10.18653/v1/2026.bionlp-1.3"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2026.bionlp-1.3","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.bionlp-1.3","pdf_url":"https://aclanthology.org/2026.bionlp-1.3.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioNLP 2026","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2026.bionlp-1.3.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5139813765","display_name":"Stephen Barlow","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Stephen Barlow","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139797662","display_name":"Yujian Gan","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yujian Gan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5106135764","display_name":"Joe Davies","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joe Davies","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139838326","display_name":"Joel Winston","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joel Winston","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139852437","display_name":"James Teo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"James Teo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5139751817","display_name":"Mark Richardson","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mark Richardson","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5107544623","display_name":"Ben Holgate","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ben Holgate","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.91548151,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"20","last_page":"30"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.24009999632835388,"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":0.24009999632835388,"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":0.12870000302791595,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.10909999907016754,"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/epilepsy","display_name":"Epilepsy","score":0.7081000208854675},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6895999908447266},{"id":"https://openalex.org/keywords/medical-record","display_name":"Medical record","score":0.30889999866485596},{"id":"https://openalex.org/keywords/epileptic-seizure","display_name":"Epileptic seizure","score":0.30570000410079956},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.29580000042915344}],"concepts":[{"id":"https://openalex.org/C2778186239","wikidata":"https://www.wikidata.org/wiki/Q41571","display_name":"Epilepsy","level":2,"score":0.7081000208854675},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6895999908447266},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4702000021934509},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.41940000653266907},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39089998602867126},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.30889999866485596},{"id":"https://openalex.org/C2779334592","wikidata":"https://www.wikidata.org/wiki/Q6279182","display_name":"Epileptic seizure","level":3,"score":0.30570000410079956},{"id":"https://openalex.org/C545542383","wikidata":"https://www.wikidata.org/wiki/Q2751242","display_name":"Medical emergency","level":1,"score":0.30399999022483826},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.29580000042915344},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.2897000014781952},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.27959999442100525},{"id":"https://openalex.org/C99508421","wikidata":"https://www.wikidata.org/wiki/Q2678675","display_name":"Physical medicine and rehabilitation","level":1,"score":0.27160000801086426},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.27140000462532043},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.2621000111103058},{"id":"https://openalex.org/C2992477034","wikidata":"https://www.wikidata.org/wiki/Q83042","display_name":"Clinical neurology","level":2,"score":0.25119999051094055}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2026.bionlp-1.3","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.bionlp-1.3","pdf_url":"https://aclanthology.org/2026.bionlp-1.3.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioNLP 2026","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2026.bionlp-1.3","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2026.bionlp-1.3","pdf_url":"https://aclanthology.org/2026.bionlp-1.3.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioNLP 2026","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.48792320489883423,"id":"https://metadata.un.org/sdg/5","display_name":"Gender equality"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323946","display_name":"Angelini Pharma","ror":"https://ror.org/05bz49965"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W7166879040.pdf","grobid_xml":"https://content.openalex.org/works/W7166879040.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Seizure":[0],"freedom":[1,50],"is":[2,14],"a":[3,37,47,163],"key":[4,164],"clinical":[5],"outcome":[6,166],"for":[7,139,153,161,167],"people":[8],"with":[9,62],"epilepsy":[10],"(PWE)":[11],"yet":[12],"it":[13,27],"primarily":[15],"recorded":[16],"in":[17,22,52],"free-text":[18],"notes":[19],"and":[20,31,95,113,143,170],"letters":[21],"the":[23,115,131],"United":[24],"Kingdom,":[25],"making":[26],"difficult":[28],"to":[29,45,69],"aggregate":[30],"track":[32],"at":[33,171],"scale.This":[34],"paper":[35],"introduces":[36],"generative":[38],"LLM-based":[39],"pipeline":[40],"boosted":[41],"by":[42,102],"synthetic":[43,74,93],"data":[44,112,152],"identify":[46],"PWE's":[48],"seizure":[49],"status":[51],"clinicians'":[53],"records.We":[54],"finetuned":[55],"seven":[56],"different":[57],"large":[58],"language":[59],"models":[60,71,128],"(LLMs)":[61],"between":[63],"4-14":[64],"billion":[65],"parameters":[66],"using":[67],"LoRA":[68],"compare":[70],"trained":[72,78,90,118,127],"on":[73,79,87,92,119],"records":[75,94],"against":[76],"those":[77],"expert":[80],"annotated":[81],"records.The":[82],"best":[83],"performing":[84],"configuration,":[85],"based":[86],"Qwen-2.5-14B,":[88],"was":[89],"entirely":[91],"used":[96],"chain-of-thought":[97],"(CoT)":[98],"reasoning":[99,137],"(both":[100],"generated":[101],".This":[103],"achieved":[104,124],"an":[105],"F1":[106],"score":[107],"of":[108,133,148],"0.90\u00b10.02on":[109],"double-annotated":[110],"test":[111,156],"outperformed":[114],"equivalent":[116],"model":[117],"authentic":[120],"clinician":[121],"records,":[122],"which":[123],"0.87\u00b10.04.The":[125],"synthetically":[126],"also":[129,145],"have":[130],"benefit":[132],"outputting":[134],"their":[135],"CoT":[136],"process":[138],"greater":[140],"decision-making":[141],"transparency":[142],"can":[144],"make":[146],"use":[147],"unused":[149],"supervised":[150],"training":[151],"significantly":[154],"increased":[155],"examples.This":[157],"work":[158],"has":[159],"implications":[160],"monitoring":[162],"treatment":[165],"PWE":[168],"automatically":[169],"scale.":[172]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2026-07-02T00:00:00"}
