{"id":"https://openalex.org/W2066742102","doi":"https://doi.org/10.1145/2508037.2508052","title":"A semantic framework for intelligent matchmaking for clinical trial eligibility criteria","display_name":"A semantic framework for intelligent matchmaking for clinical trial eligibility criteria","publication_year":2013,"publication_date":"2013-09-01","ids":{"openalex":"https://openalex.org/W2066742102","doi":"https://doi.org/10.1145/2508037.2508052","mag":"2066742102"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2508037.2508052","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"journal-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/A5007672179","display_name":"Yugyung Lee","orcid":"https://orcid.org/0000-0002-1619-1695"},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yugyung Lee","raw_affiliation_strings":["University of Missouri -- Kansas City, MO"],"affiliations":[{"raw_affiliation_string":"University of Missouri -- Kansas City, MO","institution_ids":["https://openalex.org/I75421653"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078408359","display_name":"Saranya Krishnamoorthy","orcid":null},"institutions":[],"countries":["US"],"is_corresponding":false,"raw_author_name":"Saranya Krishnamoorthy","raw_affiliation_strings":["Medical Knowledge Group, 81qd, New York"],"affiliations":[{"raw_affiliation_string":"Medical Knowledge Group, 81qd, New York","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018207289","display_name":"Deendayal Dinakarpandian","orcid":null},"institutions":[{"id":"https://openalex.org/I75421653","display_name":"University of Missouri\u2013Kansas City","ror":"https://ror.org/01w0d5g70","country_code":"US","type":"education","lineage":["https://openalex.org/I75421653"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Deendayal Dinakarpandian","raw_affiliation_strings":["University of Missouri -- Kansas City, MO"],"affiliations":[{"raw_affiliation_string":"University of Missouri -- Kansas City, MO","institution_ids":["https://openalex.org/I75421653"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.258,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":5,"citation_normalized_percentile":{"value":0.518181,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":80,"max":81},"biblio":{"volume":"4","issue":"4","first_page":"1","last_page":"32"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9939,"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":0.9939,"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9438,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10206","display_name":"Meta-analysis and systematic reviews","score":0.9162,"subfield":{"id":"https://openalex.org/subfields/1804","display_name":"Statistics, Probability and Uncertainty"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.48795456}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78280354},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.7436264},{"id":"https://openalex.org/C2777596629","wikidata":"https://www.wikidata.org/wiki/Q10858520","display_name":"Inclusion and exclusion criteria","level":3,"score":0.65178895},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.6248977},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.6083662},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.52919614},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5221777},{"id":"https://openalex.org/C25810664","wikidata":"https://www.wikidata.org/wiki/Q44325","display_name":"Ontology","level":2,"score":0.50650275},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.48795456},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.48118168},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.37873843},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37211674},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36339843},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34851736},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.1571089},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.14541104},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10796702},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C204787440","wikidata":"https://www.wikidata.org/wiki/Q188504","display_name":"Alternative medicine","level":2,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1145/2508037.2508052","pdf_url":null,"source":{"id":"https://openalex.org/S2492086750","display_name":"ACM Transactions on Intelligent Systems and Technology","issn_l":"2157-6904","issn":["2157-6904","2157-6912"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.79,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"grants":[{"funder":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health","award_id":null}],"datasets":[],"versions":[],"referenced_works_count":22,"referenced_works":["https://openalex.org/W1515017685","https://openalex.org/W1555460220","https://openalex.org/W1651093245","https://openalex.org/W1688963183","https://openalex.org/W1783384641","https://openalex.org/W1990368529","https://openalex.org/W2014650873","https://openalex.org/W2030006812","https://openalex.org/W2032478382","https://openalex.org/W2040682679","https://openalex.org/W2066578320","https://openalex.org/W2098162425","https://openalex.org/W2121564430","https://openalex.org/W2129887056","https://openalex.org/W2139736061","https://openalex.org/W2144901581","https://openalex.org/W2187363965","https://openalex.org/W2189183890","https://openalex.org/W2495810643","https://openalex.org/W29095235","https://openalex.org/W3176559554","https://openalex.org/W4213221013"],"related_works":["https://openalex.org/W328308450","https://openalex.org/W282641168","https://openalex.org/W2391444248","https://openalex.org/W2390716080","https://openalex.org/W2378767206","https://openalex.org/W2376963063","https://openalex.org/W2366734808","https://openalex.org/W2066396794","https://openalex.org/W2002476357","https://openalex.org/W1540871478"],"abstract_inverted_index":{"An":[0,197],"integral":[1],"step":[2],"in":[3,38,236],"the":[4,13,66,73,195,206,215,218,231,234],"discovery":[5],"of":[6,15,65,68,77,95,101,125,129,141,168,177,194,217,233],"new":[7],"treatments":[8],"for":[9,24,35,45,226],"medical":[10],"conditions":[11],"is":[12,43,117,160],"matching":[14,244],"potential":[16,62],"subjects":[17,241],"with":[18,98,138],"appropriate":[19],"clinical":[20,25,102,130,143,220,227,238],"trials.":[21,103],"Eligibility":[22],"criteria":[23,34,70,97,199],"trials":[26,144,239],"are":[27],"typically":[28],"specified":[29],"as":[30],"inclusion":[31,152,170],"and":[32,57,75,153,172,186,240,242],"exclusion":[33,155,174],"each":[36,176],"study":[37],"freetext":[39],"form.":[40],"While":[41],"this":[42,78],"sufficient":[44],"a":[46,50,83,92,112,121,139,164,181],"human":[47],"to":[48,60,106,119,146,180],"guide":[49],"recruitment":[51,229],"interview,":[52],"it":[53],"cannot":[54],"be":[55],"reliably":[56],"computationally":[58],"construed":[59],"identify":[61],"subjects.":[63],"Standardization":[64],"representation":[67,124],"eligibility":[69,96,156,198],"can":[71],"enhance":[72],"efficiency":[74],"accuracy":[76],"process.":[79],"This":[80,158],"article":[81],"presents":[82],"semantic":[84],"framework":[85],"that":[86],"facilitates":[87],"intelligent":[88],"matchmaking":[89],"by":[90,163],"identifying":[91],"minimal":[93],"set":[94],"maximal":[99],"coverage":[100],"In":[104],"contrast":[105],"existing":[107],"top-down":[108],"manual":[109],"standardization":[110],"efforts,":[111],"bottom-up":[113],"data":[114],"driven":[115],"approach":[116],"presented":[118],"find":[120],"canonical":[122],"nonredundant":[123],"an":[126,191],"arbitrary":[127],"collection":[128],"trial":[131,221,228],"criteria.":[132,157],"The":[133,208,224],"methodology":[134,235],"has":[135,201,211],"been":[136,202,212],"validated":[137],"corpus":[140,159],"709":[142],"related":[145],"Generalized":[147],"Anxiety":[148],"Disorder":[149],"containing":[150],"2,760":[151],"4,871":[154],"well":[161],"represented":[162],"relatively":[165],"small":[166],"number":[167],"126":[169],"clusters":[171],"175":[173],"clusters,":[175],"which":[178],"corresponds":[179],"semantically":[182],"distinct":[183],"criterion.":[184],"Internal":[185],"external":[187],"validation":[188],"measures":[189],"provide":[190],"objective":[192],"evaluation":[193],"method.":[196],"ontology":[200],"constructed":[203],"based":[204],"on":[205],"clustering.":[207],"resulting":[209],"model":[210],"incorporated":[213],"into":[214],"development":[216],"MindTrial":[219],"recruiting":[222],"system.":[223],"prototype":[225],"illustrates":[230],"effectiveness":[232],"characterizing":[237],"accurate":[243],"between":[245],"them.":[246]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2066742102","counts_by_year":[{"year":2020,"cited_by_count":2},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":2}],"updated_date":"2024-12-11T08:18:23.087843","created_date":"2016-06-24"}