{"id":"https://openalex.org/W2911991992","doi":"https://doi.org/10.3233/978-1-61499-933-1-334","title":"An Information Retrieval Approach for Text Mining of Medical Records Based on Graph Descriptor","display_name":"An Information Retrieval Approach for Text Mining of Medical Records Based on Graph Descriptor","publication_year":2019,"publication_date":"2019-01-01","ids":{"openalex":"https://openalex.org/W2911991992","doi":"https://doi.org/10.3233/978-1-61499-933-1-334","mag":"2911991992"},"language":"en","primary_location":{"id":"doi:10.3233/978-1-61499-933-1-334","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-933-1-334","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"},"type":"book-chapter","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/A5001009417","display_name":"Alexander Dudko","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Dudko Alexander","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076985694","display_name":"Tatiana Endrjukaite","orcid":"https://orcid.org/0000-0002-3923-7043"},"institutions":[{"id":"https://openalex.org/I24568809","display_name":"Transport and Telecommunication Institute","ror":"https://ror.org/01628w679","country_code":"LV","type":"education","lineage":["https://openalex.org/I24568809"]}],"countries":["LV"],"is_corresponding":false,"raw_author_name":"Endrjukaite Tatiana","raw_affiliation_strings":["Transport and Telecommunication Institute, TSI"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Transport and Telecommunication Institute, TSI","institution_ids":["https://openalex.org/I24568809"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5019351299","display_name":"Yasushi Kiyoki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kiyoki Yasushi","raw_affiliation_strings":["Faculty of Environment and Information Studies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of Environment and Information Studies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5608,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.6531707,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.6852999925613403,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.6852999925613403,"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":0.6722999811172485,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.6410999894142151,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/combinatorics","display_name":"Combinatorics","score":0.6669678688049316},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.6285663843154907},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5880602598190308},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.4490075707435608},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3299805819988251},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.27689826488494873}],"concepts":[{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.6669678688049316},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.6285663843154907},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5880602598190308},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.4490075707435608},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3299805819988251},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.27689826488494873}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/978-1-61499-933-1-334","is_oa":false,"landing_page_url":"https://doi.org/10.3233/978-1-61499-933-1-334","pdf_url":null,"source":{"id":"https://openalex.org/S4210201731","display_name":"Frontiers in artificial intelligence and applications","issn_l":"0922-6389","issn":["0922-6389","1879-8314"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Frontiers in Artificial Intelligence and Applications","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.4000000059604645,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G8483445421","display_name":"Enhancement of Integrated Environment for Computational Forensics Data Analysis and Visualization","funder_award_id":"17H00737","funder_id":"https://openalex.org/F4320334764","funder_display_name":"Japan Society for the Promotion of Science"}],"funders":[{"id":"https://openalex.org/F4320334764","display_name":"Japan Society for the Promotion of Science","ror":"https://ror.org/00hhkn466"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W2142036596","https://openalex.org/W2072657027","https://openalex.org/W2962838298","https://openalex.org/W2600246793"],"abstract_inverted_index":{"This":[0,52],"paper":[1],"describes":[2],"a":[3,43,55,66,112,149],"new":[4],"method":[5],"of":[6,49,68,72,103,144,156],"data":[7],"retrieval":[8],"from":[9],"free":[10],"text":[11,40],"documents":[12],"in":[13,27,74,88,96,106],"medical":[14],"domain.":[15],"Proposed":[16],"approach":[17,78,132,177],"creates":[18],"the":[19,28,36,50,75,77,89,97,100,107,157,175],"document":[20,37,150],"summary":[21,117,147,165],"and":[22,41,62,91,128,138,151,167,181],"highlights":[23],"most":[24,83,153],"important":[25],"keywords":[26,94,168],"text.":[29,98,159],"To":[30],"achieve":[31,179],"this":[32,109],"result":[33],"we":[34],"process":[35],"natural":[38],"language":[39],"build":[42],"descriptor":[44,53,76],"as":[45,65],"an":[46],"internal":[47],"representation":[48,102],"document.":[51],"is":[54],"graph":[56],"with":[57],"concepts,":[58],"relations":[59,123],"between":[60,124],"them,":[61],"concept":[63],"points":[64,73],"metric":[67],"relevance.":[69],"By":[70],"means":[71,143],"performs":[79],"ambiguity":[80],"resolution,":[81],"selects":[82],"relevant":[84,183],"concepts":[85],"to":[86,114,134,178],"display":[87],"summary,":[90,108],"votes":[92],"for":[93,148],"highlighting":[95,152,169],"Besides":[99],"direct":[101],"identified":[104],"information":[105],"work":[110],"proposes":[111],"way":[113],"provide":[115],"extended":[116],"by":[118,142,174],"using":[119],"additional":[120],"knowledge":[121],"about":[122],"medications,":[125],"procedures,":[126],"diseases":[127],"anatomy.":[129],"The":[130],"described":[131],"helps":[133],"speed":[135],"up":[136],"analysis":[137],"decision":[139],"making":[140],"processes":[141],"providing":[145],"aggregated":[146],"meaningful":[154,180],"parts":[155],"document's":[158],"Experiment":[160],"results":[161],"demonstrate":[162],"that":[163],"automatic":[164],"generation":[166],"can":[170],"be":[171],"successfully":[172],"performed":[173],"proposed":[176],"highly":[182],"results.":[184]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2019-02-21T00:00:00"}