{"id":"https://openalex.org/W4284694029","doi":"https://doi.org/10.1145/3477495.3532003","title":"Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval","display_name":"Interpreting Patient Descriptions using Distantly Supervised Similar Case Retrieval","publication_year":2022,"publication_date":"2022-07-06","ids":{"openalex":"https://openalex.org/W4284694029","doi":"https://doi.org/10.1145/3477495.3532003"},"language":"en","primary_location":{"id":"doi:10.1145/3477495.3532003","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532003","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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/A5005535867","display_name":"Israa Alghanmi","orcid":null},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Israa Alghanmi","raw_affiliation_strings":["Cardiff University, Cardiff, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Cardiff University, Cardiff, United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002661723","display_name":"Luis Espinosa-Anke","orcid":"https://orcid.org/0000-0001-6830-9176"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Luis Espinosa-Anke","raw_affiliation_strings":["Cardiff University, Cardiff, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Cardiff University, Cardiff, United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5052196540","display_name":"Steven Schockaert","orcid":"https://orcid.org/0000-0002-9256-2881"},"institutions":[{"id":"https://openalex.org/I79510175","display_name":"Cardiff University","ror":"https://ror.org/03kk7td41","country_code":"GB","type":"education","lineage":["https://openalex.org/I79510175"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Steven Schockaert","raw_affiliation_strings":["Cardiff University, Cardiff, United Kingdom"],"affiliations":[{"raw_affiliation_string":"Cardiff University, Cardiff, United Kingdom","institution_ids":["https://openalex.org/I79510175"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5005535867"],"corresponding_institution_ids":["https://openalex.org/I79510175"],"apc_list":null,"apc_paid":null,"fwci":0.1039,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.2553329,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"2016","issue":null,"first_page":"460","last_page":"470"},"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":0.9994999766349792,"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":0.9977999925613403,"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/computer-science","display_name":"Computer science","score":0.7339094877243042},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6070650219917297},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6013859510421753},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6007905006408691},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.5486288666725159},{"id":"https://openalex.org/keywords/simplicity","display_name":"Simplicity","score":0.4702621400356293},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.45437854528427124},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.44625645875930786},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.44164925813674927},{"id":"https://openalex.org/keywords/medical-diagnosis","display_name":"Medical diagnosis","score":0.430152028799057},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.35400134325027466},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.1050180196762085}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7339094877243042},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6070650219917297},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6013859510421753},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6007905006408691},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.5486288666725159},{"id":"https://openalex.org/C2776372474","wikidata":"https://www.wikidata.org/wiki/Q508291","display_name":"Simplicity","level":2,"score":0.4702621400356293},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.45437854528427124},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.44625645875930786},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.44164925813674927},{"id":"https://openalex.org/C534262118","wikidata":"https://www.wikidata.org/wiki/Q177719","display_name":"Medical diagnosis","level":2,"score":0.430152028799057},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.35400134325027466},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1050180196762085},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3477495.3532003","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3477495.3532003","pdf_url":null,"source":{"id":"https://openalex.org/S4363608773","display_name":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","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":"Proceedings of the 45th International ACM SIGIR Conference on Research and Development in Information Retrieval","raw_type":"proceedings-article"},{"id":"pmh:oai:https://orca.cardiff.ac.uk:150044","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306401195","display_name":"ORCA Online Research @Cardiff (Cardiff University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I79510175","host_organization_name":"Cardiff University","host_organization_lineage":["https://openalex.org/I79510175"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","score":0.8100000023841858,"id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W236988029","https://openalex.org/W971231729","https://openalex.org/W2003674499","https://openalex.org/W2058908716","https://openalex.org/W2739351760","https://openalex.org/W2750779823","https://openalex.org/W2888120268","https://openalex.org/W2911489562","https://openalex.org/W2913640436","https://openalex.org/W2946571662","https://openalex.org/W2949818215","https://openalex.org/W2951434086","https://openalex.org/W2963716420","https://openalex.org/W2970161131","https://openalex.org/W2970771982","https://openalex.org/W2991223644","https://openalex.org/W2998385486","https://openalex.org/W3021397474","https://openalex.org/W3034707327","https://openalex.org/W3046375318","https://openalex.org/W3090263882","https://openalex.org/W3099700870","https://openalex.org/W3104033643","https://openalex.org/W3104499181","https://openalex.org/W3131882755","https://openalex.org/W3162922479","https://openalex.org/W3166035055","https://openalex.org/W3168875417","https://openalex.org/W3169394946","https://openalex.org/W3171832821","https://openalex.org/W3175042000","https://openalex.org/W3175423875","https://openalex.org/W3199493219","https://openalex.org/W3201202178","https://openalex.org/W3208821253","https://openalex.org/W4237092701","https://openalex.org/W4238846128","https://openalex.org/W4239019441","https://openalex.org/W4246858749","https://openalex.org/W4250469072","https://openalex.org/W4251326898","https://openalex.org/W4255386139"],"related_works":["https://openalex.org/W2186284405","https://openalex.org/W2981850339","https://openalex.org/W2349125667","https://openalex.org/W4316082230","https://openalex.org/W1872130062","https://openalex.org/W4281690070","https://openalex.org/W1806995473","https://openalex.org/W4309637067","https://openalex.org/W2293457016","https://openalex.org/W1560771748"],"abstract_inverted_index":{"Biomedical":[0],"natural":[1],"language":[2,24],"processing":[3],"often":[4,158],"involves":[5],"the":[6,52,96,120,125,128,132,135],"interpretation":[7],"of":[8,55,119,127,134,146,162],"patient":[9,64,98],"descriptions,":[10],"for":[11,13,16,60],"instance":[12],"diagnosis":[14,118],"or":[15],"recommending":[17],"treatments.":[18],"Current":[19],"methods,":[20],"based":[21,130],"on":[22,82,131,175],"biomedical":[23],"models,":[25],"have":[26,38],"been":[27],"found":[28],"to":[29,47,72,80,95,104,188],"struggle":[30],"with":[31],"such":[32],"tasks.":[33],"Moreover,":[34],"retrieval":[35],"augmented":[36],"strategies":[37],"only":[39],"had":[40],"limited":[41],"success,":[42],"as":[43,144],"it":[44],"is":[45,58,141],"rare":[46],"find":[48,185],"sentences":[49],"which":[50],"express":[51],"exact":[53],"type":[54],"knowledge":[56],"that":[57,92,173],"needed":[59],"interpreting":[61],"a":[62,83,116,171,176],"given":[63,97],"description.":[65],"For":[66],"this":[67,167,186],"reason,":[68],"rather":[69,152],"than":[70],"attempting":[71],"retrieve":[73,89],"explicit":[74],"medical":[75],"knowledge,":[76],"we":[77,88,169,184],"instead":[78],"propose":[79,170],"rely":[81],"nearest":[84],"neighbour":[85],"strategy.":[86],"First,":[87],"text":[90],"passages":[91],"are":[93,101],"similar":[94,108,139,147],"description,":[99],"and":[100],"thus":[102],"likely":[103],"describe":[105],"patients":[106,148],"in":[107,191],"situations,":[109],"while":[110],"also":[111],"mentioning":[112],"some":[113],"hypothesis":[114,129],"(e.g.\\":[115],"possible":[117],"patient).":[121],"We":[122],"then":[123],"judge":[124],"likelihood":[126],"similarity":[133],"retrieved":[136],"passages.":[137],"Identifying":[138],"cases":[140],"challenging,":[142],"however,":[143],"descriptions":[145],"may":[149],"superficially":[150],"look":[151],"different,":[153],"among":[154],"others":[155],"because":[156],"they":[157],"contain":[159],"an":[160],"abundance":[161],"irrelevant":[163],"details.":[164],"To":[165],"address":[166],"challenge,":[168],"strategy":[172,187],"relies":[174],"distantly":[177],"supervised":[178],"cross-encoder.":[179],"Despite":[180],"its":[181],"conceptual":[182],"simplicity,":[183],"be":[189],"effective":[190],"practice.":[192]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
