{"id":"https://openalex.org/W1978946550","doi":"https://doi.org/10.1145/2110363.2110472","title":"ASCOT","display_name":"ASCOT","publication_year":2012,"publication_date":"2012-01-28","ids":{"openalex":"https://openalex.org/W1978946550","doi":"https://doi.org/10.1145/2110363.2110472","mag":"1978946550"},"language":"en","primary_location":{"id":"doi:10.1145/2110363.2110472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2110363.2110472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium","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/A5060320466","display_name":"Ioannis Korkontzelos","orcid":"https://orcid.org/0000-0001-8052-2471"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ioannis Korkontzelos","raw_affiliation_strings":["University of Manchester, Manchester, United Kingdom","University of Manchester, MANCHESTER, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"University of Manchester, MANCHESTER, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5077976343","display_name":"Sophia Ananiadou","orcid":"https://orcid.org/0000-0002-4097-9191"},"institutions":[{"id":"https://openalex.org/I28407311","display_name":"University of Manchester","ror":"https://ror.org/027m9bs27","country_code":"GB","type":"education","lineage":["https://openalex.org/I28407311"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sophia Ananiadou","raw_affiliation_strings":["University of Manchester, Manchester, United Kingdom","University of Manchester, MANCHESTER, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Manchester, Manchester, United Kingdom","institution_ids":["https://openalex.org/I28407311"]},{"raw_affiliation_string":"University of Manchester, MANCHESTER, United Kingdom","institution_ids":["https://openalex.org/I28407311"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.06113924,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"855","last_page":"858"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991999864578247,"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"}},"topics":[{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9991999864578247,"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/T10028","display_name":"Topic Modeling","score":0.9988999962806702,"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/T10215","display_name":"Semantic Web and Ontologies","score":0.9966999888420105,"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/metadata","display_name":"Metadata","score":0.7463327646255493},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7365538477897644},{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.6788365244865417},{"id":"https://openalex.org/keywords/component","display_name":"Component (thermodynamics)","score":0.5654625296592712},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.5344635248184204},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.4796029329299927},{"id":"https://openalex.org/keywords/medical-practice","display_name":"Medical practice","score":0.4182654619216919},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.3813190162181854},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3775339424610138},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.36058294773101807},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.18762904405593872},{"id":"https://openalex.org/keywords/medical-education","display_name":"Medical education","score":0.1570923626422882},{"id":"https://openalex.org/keywords/family-medicine","display_name":"Family medicine","score":0.07354024052619934},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.07199186086654663}],"concepts":[{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.7463327646255493},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7365538477897644},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.6788365244865417},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.5654625296592712},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.5344635248184204},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.4796029329299927},{"id":"https://openalex.org/C2993312423","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medical practice","level":2,"score":0.4182654619216919},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.3813190162181854},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3775339424610138},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.36058294773101807},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.18762904405593872},{"id":"https://openalex.org/C509550671","wikidata":"https://www.wikidata.org/wiki/Q126945","display_name":"Medical education","level":1,"score":0.1570923626422882},{"id":"https://openalex.org/C512399662","wikidata":"https://www.wikidata.org/wiki/Q3505712","display_name":"Family medicine","level":1,"score":0.07354024052619934},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.07199186086654663},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/2110363.2110472","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2110363.2110472","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium","raw_type":"proceedings-article"},{"id":"pmh:oai:pure.atira.dk:openaire_cris_publications/9e145614-6223-4159-b2bb-43f268e7001a","is_oa":false,"landing_page_url":"https://research.manchester.ac.uk/en/publications/9e145614-6223-4159-b2bb-43f268e7001a","pdf_url":null,"source":{"id":"https://openalex.org/S4306400662","display_name":"Research Explorer (The University of Manchester)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I28407311","host_organization_name":"University of Manchester","host_organization_lineage":["https://openalex.org/I28407311"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Korkontzelos, I & Ananiadou, S 2012, ASCOT: Assisting search and creation of clinical trials. in IHI'12 - Proceedings of the 2nd ACM SIGHIT International Health Informatics Symposium|IHI - Proc. ACM SIGHIT Int. Health Informatics Symp.. IHI '12, Association for Computing Machinery, pp. 855-858, 2nd ACM SIGHIT International Health Informatics Symposium, IHI'12, Miami, FL, 1/07/12. https://doi.org/10.1145/2110363.2110472","raw_type":"info:eu-repo/semantics/publishedVersion"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6800000071525574,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W148668311","https://openalex.org/W192665053","https://openalex.org/W1536816303","https://openalex.org/W1550258693","https://openalex.org/W1573420065","https://openalex.org/W1880262756","https://openalex.org/W2022627054","https://openalex.org/W2026981750","https://openalex.org/W2044070623","https://openalex.org/W2049107599","https://openalex.org/W2066073289","https://openalex.org/W2118322263","https://openalex.org/W2138180870","https://openalex.org/W2184455014","https://openalex.org/W6634286500","https://openalex.org/W6686423497"],"related_works":["https://openalex.org/W2354353034","https://openalex.org/W2351866742","https://openalex.org/W2387251100","https://openalex.org/W2383308316","https://openalex.org/W2414651481","https://openalex.org/W3088497272","https://openalex.org/W2063785764","https://openalex.org/W3031368460","https://openalex.org/W2357116886","https://openalex.org/W1544075281"],"abstract_inverted_index":{"In":[0,90],"this":[1],"paper":[2],"we":[3],"present":[4],"ASCOT,":[5],"an":[6,94],"efficient":[7],"search":[8,40],"application":[9],"for":[10,65],"clinical":[11,78],"trials":[12,22,79],"that":[13,82],"is":[14,41],"designed":[15],"to":[16,44,76,86],"aid":[17],"writing":[18],"new":[19,53,66],"trials.":[20],"Clinical":[21],"are":[23,32],"protocols":[24],"describing":[25],"medical":[26,37],"research":[27],"on":[28],"humans.":[29],"Although":[30],"they":[31],"a":[33,52],"valuable":[34],"source":[35],"of":[36,48],"practice":[38],"evidence,":[39],"laborious":[42],"due":[43],"the":[45],"immense":[46],"number":[47],"existing":[49],"protocols.":[50],"Writing":[51],"trial":[54],"includes":[55],"composing":[56],"detailed":[57],"eligibility":[58,95],"criteria,":[59],"which":[60],"might":[61],"be":[62,84],"time-consuming,":[63],"especially":[64],"researchers.":[67],"ASCOT":[68,92],"uses":[69],"text":[70],"mining":[71,74],"and":[72],"data":[73],"methods":[75],"enrich":[77],"with":[80],"metadata,":[81],"can":[83],"employed":[85],"narrow":[87],"down":[88],"search.":[89],"addition,":[91],"integrates":[93],"criteria":[96],"recommendation":[97],"component.":[98]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2016-06-24T00:00:00"}