{"id":"https://openalex.org/W4294975605","doi":"https://doi.org/10.1109/embc48229.2022.9871798","title":"Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization","display_name":"Improving the Factual Accuracy of Abstractive Clinical Text Summarization using Multi-Objective Optimization","publication_year":2022,"publication_date":"2022-07-11","ids":{"openalex":"https://openalex.org/W4294975605","doi":"https://doi.org/10.1109/embc48229.2022.9871798","pmid":"https://pubmed.ncbi.nlm.nih.gov/36085755"},"language":"en","primary_location":{"id":"doi:10.1109/embc48229.2022.9871798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871798","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://corescholar.libraries.wright.edu/cse/626","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5051490157","display_name":"Amanuel Alambo","orcid":"https://orcid.org/0000-0002-3643-9053"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amanuel Alambo","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084532918","display_name":"Tanvi Banerjee","orcid":"https://orcid.org/0000-0002-9794-3755"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tanvi Banerjee","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060617658","display_name":"Krishnaprasad Thirunarayan","orcid":"https://orcid.org/0000-0002-7041-6963"},"institutions":[{"id":"https://openalex.org/I19648265","display_name":"Wright State University","ror":"https://ror.org/04qk6pt94","country_code":"US","type":"education","lineage":["https://openalex.org/I19648265"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Krishnaprasad Thirunarayan","raw_affiliation_strings":["Wright State University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Wright State University","institution_ids":["https://openalex.org/I19648265"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5016336479","display_name":"Mia Cajita","orcid":"https://orcid.org/0000-0002-2331-1229"},"institutions":[{"id":"https://openalex.org/I39422238","display_name":"University of Illinois Chicago","ror":"https://ror.org/02mpq6x41","country_code":"US","type":"education","lineage":["https://openalex.org/I39422238"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mia Cajita","raw_affiliation_strings":["University of Illinois,Chicago","University of Illinois, Chicago"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Illinois,Chicago","institution_ids":["https://openalex.org/I39422238"]},{"raw_affiliation_string":"University of Illinois, Chicago","institution_ids":["https://openalex.org/I39422238"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.0382,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.78547575,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":"2022","issue":null,"first_page":"1615","last_page":"1618"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9987999796867371,"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":0.9976000189781189,"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/automatic-summarization","display_name":"Automatic summarization","score":0.9596273899078369},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.81791090965271},{"id":"https://openalex.org/keywords/benchmarking","display_name":"Benchmarking","score":0.6272323727607727},{"id":"https://openalex.org/keywords/transformer","display_name":"Transformer","score":0.6040903329849243},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5243349671363831},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.513676106929779},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4848541021347046},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.47678425908088684},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.46306174993515015},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43556058406829834},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.423758864402771}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.9596273899078369},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81791090965271},{"id":"https://openalex.org/C86251818","wikidata":"https://www.wikidata.org/wiki/Q816754","display_name":"Benchmarking","level":2,"score":0.6272323727607727},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.6040903329849243},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5243349671363831},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.513676106929779},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4848541021347046},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.47678425908088684},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.46306174993515015},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43556058406829834},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.423758864402771},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162853370","wikidata":"https://www.wikidata.org/wiki/Q39809","display_name":"Marketing","level":1,"score":0.0},{"id":"https://openalex.org/C165801399","wikidata":"https://www.wikidata.org/wiki/Q25428","display_name":"Voltage","level":2,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D002309","descriptor_name":"Cardiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002309","descriptor_name":"Cardiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002309","descriptor_name":"Cardiology","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006268","descriptor_name":"Health Facilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006268","descriptor_name":"Health Facilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006268","descriptor_name":"Health Facilities","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011211","descriptor_name":"Electric Power Supplies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019359","descriptor_name":"Knowledge","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/embc48229.2022.9871798","is_oa":false,"landing_page_url":"https://doi.org/10.1109/embc48229.2022.9871798","pdf_url":null,"source":{"id":"https://openalex.org/S4363607706","display_name":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"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":"2022 44th Annual International Conference of the IEEE Engineering in Medicine &amp; Biology Society (EMBC)","raw_type":"proceedings-article"},{"id":"pmid:36085755","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36085755","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":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},{"id":"pmh:oai:corescholar.libraries.wright.edu:cse-1626","is_oa":true,"landing_page_url":"https://corescholar.libraries.wright.edu/cse/626","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science and Engineering Faculty Publications","raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:corescholar.libraries.wright.edu:cse-1626","is_oa":true,"landing_page_url":"https://corescholar.libraries.wright.edu/cse/626","pdf_url":null,"source":{"id":"https://openalex.org/S2737205702","display_name":"Journal of Bioresource Management","issn_l":"2309-3854","issn":["2309-3854"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310316536","host_organization_name":"Bioresource Research Center (BRC), Islamabad","host_organization_lineage":["https://openalex.org/P4310316536"],"host_organization_lineage_names":["Bioresource Research Center (BRC), Islamabad"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computer Science and Engineering Faculty Publications","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W2114063639","https://openalex.org/W2131241448","https://openalex.org/W2143514833","https://openalex.org/W2152772232","https://openalex.org/W2159583324","https://openalex.org/W2396881363","https://openalex.org/W2606974598","https://openalex.org/W2805901160","https://openalex.org/W2891022667","https://openalex.org/W2947681066","https://openalex.org/W2949615363","https://openalex.org/W2953486306","https://openalex.org/W2962965405","https://openalex.org/W2972111982","https://openalex.org/W2996264288","https://openalex.org/W3006779453","https://openalex.org/W3034356621","https://openalex.org/W3034863243","https://openalex.org/W3034999214","https://openalex.org/W3037109418","https://openalex.org/W3099396524","https://openalex.org/W3100258764","https://openalex.org/W3100439847","https://openalex.org/W3201255524","https://openalex.org/W4288089799","https://openalex.org/W4385245566","https://openalex.org/W4394659038","https://openalex.org/W6632455782","https://openalex.org/W6678911119","https://openalex.org/W6739901393","https://openalex.org/W6769311223","https://openalex.org/W6769627184","https://openalex.org/W6770389183","https://openalex.org/W6771915120","https://openalex.org/W6773539960","https://openalex.org/W6776931309","https://openalex.org/W6776983553","https://openalex.org/W6801496601","https://openalex.org/W6864221351"],"related_works":["https://openalex.org/W4238897586","https://openalex.org/W435179959","https://openalex.org/W2619091065","https://openalex.org/W2059640416","https://openalex.org/W1490753184","https://openalex.org/W2284465472","https://openalex.org/W2291782699","https://openalex.org/W4317547544","https://openalex.org/W4313395829","https://openalex.org/W4324290231"],"abstract_inverted_index":{"While":[0],"there":[1],"has":[2,31],"been":[3,32],"recent":[4],"progress":[5],"in":[6,62,91,96,107,149,219],"abstractive":[7,132],"summarization":[8,30,80,133],"as":[9,52],"applied":[10],"to":[11,27,38,54,113,143,216],"different":[12,212],"domains":[13,56],"including":[14],"news":[15],"articles,":[16,18],"scientific":[17],"and":[19,45,74,159,162,183,195,208],"blog":[20],"posts,":[21],"the":[22,39,46,71,92,105,108,114,128,164],"application":[23],"of":[24,41,49,70,77,84,116,131,134,171,221],"these":[25],"techniques":[26],"clinical":[28,50,78,85,135,169],"text":[29,79,136],"limited.":[33],"This":[34,87],"is":[35,81,88,111],"primarily":[36],"due":[37],"lack":[40],"large-scale":[42],"training":[43,59],"data":[44,60],"messy/unstructured":[47],"nature":[48],"notes":[51,110,170],"opposed":[53],"other":[55],"where":[57,98],"massive":[58],"come":[61],"structured":[63],"or":[64],"semi":[65],"-structured":[66],"form.":[67],"Further,":[68],"one":[69],"least":[72],"explored":[73],"critical":[75,112],"components":[76],"factual":[82,129,223],"accuracy":[83,130],"summaries.":[86],"specifically":[89],"crucial":[90],"healthcare":[93],"domain,":[94],"cardiology":[95],"particular,":[97],"an":[99],"accurate":[100],"summary":[101],"generation":[102],"that":[103,197,210],"preserves":[104],"facts":[106],"source":[109],"well-being":[115],"a":[117,124],"patient.":[118],"In":[119],"this":[120,181],"study,":[121],"we":[122,178],"propose":[123,142],"framework":[125],"for":[126,180],"improving":[127],"using":[137],"knowledge-guided":[138],"multi-objective":[139],"optimization.":[140],"We":[141,201],"jointly":[144],"optimize":[145],"three":[146,204],"cost":[147],"functions":[148,214],"our":[150],"proposed":[151,165],"architecture":[152,166],"during":[153],"training:":[154],"generative":[155],"loss,":[156],"entity":[157],"loss":[158,161,213],"knowledge":[160],"evaluate":[163],"on":[167],"1)":[168],"patients":[172],"with":[173,203],"heart":[174],"failure":[175],"(HF),":[176],"which":[177],"collect":[179],"study;":[182],"2)":[184],"two":[185],"benchmark":[186],"datasets,":[187],"Indiana":[188],"University":[189],"Chest":[190],"X-ray":[191],"collection":[192],"(IU":[193],"X-Ray),":[194],"MIMIC-CXR,":[196],"are":[198],"publicly":[199],"available.":[200],"experiment":[202],"transformer":[205],"encoder-decoder":[206],"architectures":[207],"demonstrate":[209],"optimizing":[211],"leads":[215],"improved":[217],"performance":[218],"terms":[220],"entity-level":[222],"accuracy.":[224]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
