{"id":"https://openalex.org/W7126016285","doi":"https://doi.org/10.1109/bibm66473.2025.11356655","title":"HiGraphSum: Hierarchical Hypergraph-Based Dual-Stage Automatic Summarization of Discharge Summaries","display_name":"HiGraphSum: Hierarchical Hypergraph-Based Dual-Stage Automatic Summarization of Discharge Summaries","publication_year":2025,"publication_date":"2025-12-15","ids":{"openalex":"https://openalex.org/W7126016285","doi":"https://doi.org/10.1109/bibm66473.2025.11356655"},"language":null,"primary_location":{"id":"doi:10.1109/bibm66473.2025.11356655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"},"type":"article","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/A5101776190","display_name":"Zhenyu Huang","orcid":"https://orcid.org/0009-0009-6018-2460"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zhenyu Huang","raw_affiliation_strings":["Big Data Institute, Central South University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5124169935","display_name":"Xianlai Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xianlai Chen","raw_affiliation_strings":["Big Data Institute, Central South University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025533867","display_name":"Taixiang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Taixiang Li","raw_affiliation_strings":["Big Data Institute, Central South University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5071171089","display_name":"Xing Zhao","orcid":"https://orcid.org/0000-0002-4924-9080"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xing Zhao","raw_affiliation_strings":["Big Data Institute, Central South University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103449889","display_name":"Ying An","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ying An","raw_affiliation_strings":["Big Data Institute, Central South University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5124152409","display_name":"Yunbo Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunbo Wang","raw_affiliation_strings":["Big Data Institute, Central South University,Changsha,China"],"affiliations":[{"raw_affiliation_string":"Big Data Institute, Central South University,Changsha,China","institution_ids":["https://openalex.org/I139660479"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5101776190"],"corresponding_institution_ids":["https://openalex.org/I139660479"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.84019587,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"973","last_page":"980"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.5498999953269958,"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":0.5498999953269958,"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":0.36320000886917114,"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":0.0272000003606081,"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":0.8317999839782715},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.5156000256538391},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.4844000041484833},{"id":"https://openalex.org/keywords/documentation","display_name":"Documentation","score":0.41200000047683716},{"id":"https://openalex.org/keywords/dependency","display_name":"Dependency (UML)","score":0.3910999894142151},{"id":"https://openalex.org/keywords/multi-document-summarization","display_name":"Multi-document summarization","score":0.37450000643730164},{"id":"https://openalex.org/keywords/hypergraph","display_name":"Hypergraph","score":0.3691999912261963}],"concepts":[{"id":"https://openalex.org/C170858558","wikidata":"https://www.wikidata.org/wiki/Q1394144","display_name":"Automatic summarization","level":2,"score":0.8317999839782715},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7813000082969666},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.5156000256538391},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.4844000041484833},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.478300005197525},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4758000075817108},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4487999975681305},{"id":"https://openalex.org/C56666940","wikidata":"https://www.wikidata.org/wiki/Q788790","display_name":"Documentation","level":2,"score":0.41200000047683716},{"id":"https://openalex.org/C19768560","wikidata":"https://www.wikidata.org/wiki/Q320727","display_name":"Dependency (UML)","level":2,"score":0.3910999894142151},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.382999986410141},{"id":"https://openalex.org/C134714966","wikidata":"https://www.wikidata.org/wiki/Q6934448","display_name":"Multi-document summarization","level":3,"score":0.37450000643730164},{"id":"https://openalex.org/C2781221856","wikidata":"https://www.wikidata.org/wiki/Q840247","display_name":"Hypergraph","level":2,"score":0.3691999912261963},{"id":"https://openalex.org/C144986985","wikidata":"https://www.wikidata.org/wiki/Q871236","display_name":"Hierarchical database model","level":2,"score":0.3650999963283539},{"id":"https://openalex.org/C66322947","wikidata":"https://www.wikidata.org/wiki/Q11658","display_name":"Transformer","level":3,"score":0.3605000078678131},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.3122999966144562},{"id":"https://openalex.org/C171686336","wikidata":"https://www.wikidata.org/wiki/Q3532085","display_name":"Topic model","level":2,"score":0.3034000098705292},{"id":"https://openalex.org/C89600930","wikidata":"https://www.wikidata.org/wiki/Q1423946","display_name":"Segmentation","level":2,"score":0.296099990606308},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2888000011444092},{"id":"https://openalex.org/C2988416141","wikidata":"https://www.wikidata.org/wiki/Q6031139","display_name":"Information loss","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm66473.2025.11356655","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm66473.2025.11356655","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6661790013313293,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[{"id":"https://openalex.org/G6751659672","display_name":null,"funder_award_id":"62402532","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8894340738","display_name":null,"funder_award_id":"2023YFC3604601","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1989335536","https://openalex.org/W2062908157","https://openalex.org/W2911489562","https://openalex.org/W3012077755","https://openalex.org/W3047527718","https://openalex.org/W4224019840","https://openalex.org/W4385581245","https://openalex.org/W4386228009","https://openalex.org/W4390659172","https://openalex.org/W4392193048","https://openalex.org/W4392736665","https://openalex.org/W4395462076","https://openalex.org/W4399803256","https://openalex.org/W4400948229","https://openalex.org/W4401042674","https://openalex.org/W4401633956","https://openalex.org/W4402671006","https://openalex.org/W4402671269","https://openalex.org/W4402671290","https://openalex.org/W4402671380","https://openalex.org/W4402671382","https://openalex.org/W4402671437","https://openalex.org/W4402683759","https://openalex.org/W4402683887","https://openalex.org/W4402684153","https://openalex.org/W4402684326","https://openalex.org/W4403619519","https://openalex.org/W4404030947","https://openalex.org/W4404556367","https://openalex.org/W4406262227","https://openalex.org/W4406890922","https://openalex.org/W4409362815","https://openalex.org/W4409363173","https://openalex.org/W4409368178","https://openalex.org/W4410415527","https://openalex.org/W4410543997","https://openalex.org/W4412392471"],"related_works":[],"abstract_inverted_index":{"Automatic":[0],"summarization":[1,78],"of":[2,48,57,79,139],"discharge":[3,80,146],"summaries":[4],"aims":[5],"to":[6,33,44,99,125],"generate":[7],"a":[8,71,88,120],"concise":[9],"yet":[10],"informative":[11],"overview":[12],"from":[13],"complex":[14],"electronic":[15],"health":[16],"records":[17],"(EHRs),":[18],"thus":[19],"alleviating":[20],"the":[21,46,55,83,115,131,136,140],"documentation":[22],"burden":[23],"on":[24,145],"clinicians.":[25],"Existing":[26],"methods":[27,42],"usually":[28],"employ":[29],"pre-trained":[30],"Transformer":[31],"architectures":[32],"capture":[34,100],"textual":[35],"dependency":[36],"via":[37],"self-attention":[38],"mechanism.":[39],"However,":[40],"these":[41],"fail":[43],"utilize":[45],"information":[47],"multi-level":[49],"hierarchical":[50,72,89,101],"structure":[51,63,108],"in":[52],"EHR,":[53],"compressing":[54],"understanding":[56],"intricate":[58,110],"semantic":[59],"interaction":[60],"among":[61],"different":[62],"levels.":[64],"In":[65,82,114],"this":[66],"work,":[67],"we":[68,118],"propose":[69],"HiGraphSum,":[70],"hypergraphbased":[73],"dual-stage":[74],"model":[75],"for":[76],"automatic":[77],"summaries.":[81,142],"first":[84],"stage,":[85,117],"HiGraphSum":[86,151],"constructs":[87],"hypergraph":[90],"that":[91,150],"integrates":[92],"heterogeneous":[93],"wordsentence":[94],"graphs":[95],"and":[96,102,109],"sentence-based":[97],"hypergraphs":[98],"contextual":[103],"information,":[104],"facilitating":[105],"global":[106],"document":[107],"clinical":[111],"semantics":[112],"learning.":[113],"second":[116],"introduce":[119],"probability":[121],"concentration":[122],"strategy":[123],"(PCS)":[124],"refine":[126],"summary":[127],"generation":[128],"by":[129],"sharpening":[130],"output":[132],"distribution,":[133],"thereby":[134],"enhancing":[135],"factual":[137],"consistency":[138],"generated":[141],"Extensive":[143],"experiments":[144],"summarise":[147],"datasets":[148],"demonstrate":[149],"outperforms":[152],"state-of-the-art":[153],"baselines.":[154]},"counts_by_year":[],"updated_date":"2026-04-09T08:11:56.329763","created_date":"2026-01-30T00:00:00"}
