{"id":"https://openalex.org/W4404032311","doi":"https://doi.org/10.1109/icccnt61001.2024.10724860","title":"Harnessing LLMs for Medical Insights:NER Extraction from Summarized Medical Text","display_name":"Harnessing LLMs for Medical Insights:NER Extraction from Summarized Medical Text","publication_year":2024,"publication_date":"2024-06-24","ids":{"openalex":"https://openalex.org/W4404032311","doi":"https://doi.org/10.1109/icccnt61001.2024.10724860"},"language":"en","primary_location":{"id":"doi:10.1109/icccnt61001.2024.10724860","doi":"https://doi.org/10.1109/icccnt61001.2024.10724860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10724860","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"},"volume":null,"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/A5025189086","display_name":"D. Sasikala","orcid":"https://orcid.org/0000-0002-0511-8169","observed_orcids":["https://orcid.org/0000-0002-0511-8169"]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"D Sasikala","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048540378","display_name":"R Sudarshan","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I81556334","display_name":"Amrita Vishwa Vidyapeetham","ror":"https://ror.org/03am10p12","country_code":"IN","type":"education","lineage":["https://openalex.org/I81556334"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"R Sudarshan","raw_affiliation_strings":["Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Chennai,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amrita Vishwa Vidyapeetham,Amrita School of Computing,Department of Computer Science and Engineering,Chennai,India","institution_ids":["https://openalex.org/I81556334"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5041638278","display_name":"S. SivaSathya","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I175691731","display_name":"Pondicherry University","ror":"https://ror.org/01a3mef16","country_code":"IN","type":"education","lineage":["https://openalex.org/I175691731"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"S. Sivasathya","raw_affiliation_strings":["Pondicherry University,School of Engineering &#x0026; Technology,Department of Computer Science,Pondicherry,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Pondicherry University,School of Engineering &#x0026; Technology,Department of Computer Science,Pondicherry,India","institution_ids":["https://openalex.org/I175691731"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4436,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.84388282,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":93,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5708000063896179,"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":0.5708000063896179,"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":0.3610999882221222,"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/T13083","display_name":"Advanced Text Analysis Techniques","score":0.05460000038146973,"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-text-summarization","display_name":"medical text summarization","score":0.9869999885559082},{"id":"https://openalex.org/keywords/named-entity-recognition","display_name":"named entity recognition","score":0.9919999837875366},{"id":"https://openalex.org/keywords/large-language-models","display_name":"large language models","score":0.9869999885559082},{"id":"https://openalex.org/keywords/gpt-3","display_name":"GPT-3","score":0.8109999895095825},{"id":"https://openalex.org/keywords/t5","display_name":"T5","score":0.9909999966621399},{"id":"https://openalex.org/keywords/pegasus","display_name":"Pegasus","score":0.968999981880188},{"id":"https://openalex.org/keywords/pubmed","display_name":"PubMed","score":0.6679999828338623},{"id":"https://openalex.org/keywords/clinical-decision-support","display_name":"clinical decision support","score":0.7020000219345093},{"id":"https://openalex.org/keywords/biomedical-text-analysis","display_name":"biomedical text analysis","score":0.5580000281333923},{"id":"https://openalex.org/keywords/rouge","display_name":"ROUGE","score":0.5889999866485596},{"id":"https://openalex.org/keywords/bertscore","display_name":"BERTScore","score":1.0}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5416929721832275},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3484054207801819}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icccnt61001.2024.10724860","doi":"https://doi.org/10.1109/icccnt61001.2024.10724860","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icccnt61001.2024.10724860","pdf_url":null,"source":{"id":"https://openalex.org/S4306497833","display_name":"International Conference on Computing, Communication and Networking Technologies (ICCCNT)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 15th International Conference on Computing Communication and Networking Technologies (ICCCNT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.428600013256073}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2857028992","https://openalex.org/W3117829624","https://openalex.org/W4223492536","https://openalex.org/W4385571079","https://openalex.org/W4387712772","https://openalex.org/W4391055449","https://openalex.org/W4391250170","https://openalex.org/W4391973028","https://openalex.org/W4392120986","https://openalex.org/W4392427409","https://openalex.org/W4392567319","https://openalex.org/W4392645476","https://openalex.org/W4393073533","https://openalex.org/W4396758677","https://openalex.org/W4396843653","https://openalex.org/W4404783076","https://openalex.org/W4411120260","https://openalex.org/W6861943906","https://openalex.org/W6862307935"],"related_works":["https://openalex.org/W4385550818","https://openalex.org/W4410543997","https://openalex.org/W7122408072","https://openalex.org/W4412718623","https://openalex.org/W7118190721","https://openalex.org/W4406157702","https://openalex.org/W7206207499","https://openalex.org/W6979273775","https://openalex.org/W4413822090","https://openalex.org/W4366458617"],"abstract_inverted_index":{"The":[0,57,115,133],"rapid":[1],"growth":[2],"of":[3,65,125],"medical":[4,48,66,130,155],"text":[5,23,49,131,156],"presents":[6],"a":[7,47],"significant":[8],"challenge":[9],"for":[10],"healthcare":[11],"professionals":[12],"to":[13,27,30,43,60,79],"stay":[14],"updated":[15],"with":[16],"current":[17],"research":[18,152],"and":[19,35,45,112,120,144],"clinical":[20,33,69],"guidelines.":[21],"Effective":[22],"summarization":[24,50,119],"is":[25,59,77],"essential":[26],"facilitate":[28],"access":[29],"knowledge,":[31],"improve":[32],"decision-making,":[34],"ultimately":[36],"enhance":[37],"patient":[38],"outcomes.":[39],"This":[40,147],"study":[41],"aims":[42],"fine-tune":[44],"assess":[46],"system":[51],"utilizing":[52],"large":[53],"language":[54],"models":[55],"(LLMs).":[56],"objective":[58],"produce":[61],"concise,":[62],"coherent":[63],"summaries":[64,85,136],"literature,":[67],"prioritizing":[68],"relevance.":[70],"Additionally,":[71],"automated":[72,148],"named":[73],"entity":[74],"recognition":[75],"(NER)":[76],"employed":[78],"extract":[80],"vital":[81],"entities":[82],"from":[83],"the":[84],"generated":[86],"by":[87,153],"GPT3,":[88],"T5,":[89],"PEGASUS":[90],"LLMs.":[91],"These":[92],"LLMs":[93],"are":[94,101],"trained":[95],"on":[96,129],"benchmark":[97],"PubMed":[98],"dataset":[99],"which":[100],"evaluated":[102],"under":[103],"standard":[104],"metrics":[105],"such":[106],"as":[107],"ROUGE":[108],"(1,":[109],"2,":[110],"L)":[111],"BERTScore":[113],"metrics.":[114],"model":[116],"pipeline":[117],"demonstrates":[118],"NER":[121],"performance":[122],"over":[123],"precision":[124],"$\\mathbf{6":[126],"5":[127],"\\%}$":[128],"data.":[132],"resulting":[134],"entity-annotated":[135],"provide":[137],"condensed":[138],"representations,":[139],"enabling":[140],"efficient":[141],"information":[142],"extraction":[143],"knowledge":[145],"discovery.":[146],"approach":[149],"accelerates":[150],"biomedical":[151],"large-scale":[154],"analysis.":[157]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4}],"updated_date":"2026-10-16T09:59:22.235173","created_date":"2024-11-05T00:00:00"}
