{"id":"https://openalex.org/W2110983945","doi":"https://doi.org/10.1093/jamia/ocu050","title":"Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials","display_name":"Case-based reasoning using electronic health records efficiently identifies eligible patients for clinical trials","publication_year":2015,"publication_date":"2015-03-13","ids":{"openalex":"https://openalex.org/W2110983945","doi":"https://doi.org/10.1093/jamia/ocu050","mag":"2110983945","pmid":"https://pubmed.ncbi.nlm.nih.gov/25769682"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocu050","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocu050","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/e1/e141/34146402/ocu050.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://academic.oup.com/jamia/article-pdf/22/e1/e141/34146402/ocu050.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5001694059","display_name":"Riccardo Miotto","orcid":"https://orcid.org/0000-0002-7815-6000"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Riccardo Miotto","raw_affiliation_strings":["Department of Biomedical Informatics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009604048","display_name":"Chunhua Weng","orcid":"https://orcid.org/0000-0002-9624-0214"},"institutions":[{"id":"https://openalex.org/I78577930","display_name":"Columbia University","ror":"https://ror.org/00hj8s172","country_code":"US","type":"education","lineage":["https://openalex.org/I78577930"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chunhua Weng","raw_affiliation_strings":["Department of Biomedical Informatics","The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY 10032, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics","institution_ids":[]},{"raw_affiliation_string":"The Irving Institute for Clinical and Translational Research, Columbia University, New York, NY 10032, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":{"value":3967,"currency":"USD","value_usd":3967},"fwci":12.2229,"has_fulltext":false,"cited_by_count":99,"citation_normalized_percentile":{"value":0.98536237,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":"22","issue":"e1","first_page":"e141","last_page":"e150"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.435699999332428,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.435699999332428,"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/T10350","display_name":"Electronic Health Records Systems","score":0.1729000061750412,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T11642","display_name":"Genomics and Rare Diseases","score":0.0731000006198883,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"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/medicine","display_name":"Medicine","score":0.758912205696106},{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.6633467674255371},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6419970393180847},{"id":"https://openalex.org/keywords/electronic-health-record","display_name":"Electronic health record","score":0.6123098731040955},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.5961266756057739},{"id":"https://openalex.org/keywords/clinical-significance","display_name":"Clinical significance","score":0.5281243920326233},{"id":"https://openalex.org/keywords/medline","display_name":"MEDLINE","score":0.4574351906776428},{"id":"https://openalex.org/keywords/health-records","display_name":"Health records","score":0.44370517134666443},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.39981645345687866},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.36465051770210266},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.324332594871521},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.22233682870864868},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.18799415230751038},{"id":"https://openalex.org/keywords/internal-medicine","display_name":"Internal medicine","score":0.154537171125412}],"concepts":[{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.758912205696106},{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.6633467674255371},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6419970393180847},{"id":"https://openalex.org/C3020144179","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic health record","level":3,"score":0.6123098731040955},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.5961266756057739},{"id":"https://openalex.org/C63363279","wikidata":"https://www.wikidata.org/wiki/Q5133848","display_name":"Clinical significance","level":2,"score":0.5281243920326233},{"id":"https://openalex.org/C2779473830","wikidata":"https://www.wikidata.org/wiki/Q1540899","display_name":"MEDLINE","level":2,"score":0.4574351906776428},{"id":"https://openalex.org/C3019952477","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Health records","level":3,"score":0.44370517134666443},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.39981645345687866},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.36465051770210266},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.324332594871521},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.22233682870864868},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.18799415230751038},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.154537171125412},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D004608","descriptor_name":"Eligibility Determination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004608","descriptor_name":"Eligibility Determination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D004608","descriptor_name":"Eligibility Determination","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012372","descriptor_name":"ROC Curve","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016032","descriptor_name":"Randomized Controlled Trials as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016032","descriptor_name":"Randomized Controlled Trials as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016032","descriptor_name":"Randomized Controlled Trials as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D016247","descriptor_name":"Information Storage and Retrieval","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D018579","descriptor_name":"Patient Selection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018579","descriptor_name":"Patient Selection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D018579","descriptor_name":"Patient Selection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocu050","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocu050","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/e1/e141/34146402/ocu050.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:25769682","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25769682","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association : JAMIA","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:4428438","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/4428438","pdf_url":null,"source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Am Med Inform Assoc","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1093/jamia/ocu050","is_oa":true,"landing_page_url":"https://doi.org/10.1093/jamia/ocu050","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/e1/e141/34146402/ocu050.pdf","source":{"id":"https://openalex.org/S129839026","display_name":"Journal of the American Medical Informatics Association","issn_l":"1067-5027","issn":["1067-5027","1527-974X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310311648","host_organization_name":"Oxford University Press","host_organization_lineage":["https://openalex.org/P4310311648","https://openalex.org/P4310311647"],"host_organization_lineage_names":["Oxford University Press","University of Oxford"],"type":"journal"},"license":"cc-by-nc-nd","license_id":"https://openalex.org/licenses/cc-by-nc-nd","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1133076894","display_name":null,"funder_award_id":"UL1 TR001873","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G2912063694","display_name":null,"funder_award_id":"R01 LM009886","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G499642212","display_name":null,"funder_award_id":"R01LM010815","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"},{"id":"https://openalex.org/G6541339090","display_name":null,"funder_award_id":"UL1 TR000040","funder_id":"https://openalex.org/F4320337472","funder_display_name":"National Center for Advancing Translational Sciences"},{"id":"https://openalex.org/G682085659","display_name":null,"funder_award_id":"R01LM009886","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"},{"id":"https://openalex.org/F4320337472","display_name":"National Center for Advancing Translational Sciences","ror":"https://ror.org/04pw6fb54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":68,"referenced_works":["https://openalex.org/W22682089","https://openalex.org/W49608121","https://openalex.org/W70066085","https://openalex.org/W82878501","https://openalex.org/W102264027","https://openalex.org/W176724175","https://openalex.org/W187156975","https://openalex.org/W200246157","https://openalex.org/W204721311","https://openalex.org/W231452340","https://openalex.org/W276317412","https://openalex.org/W1516037026","https://openalex.org/W1516873679","https://openalex.org/W1518399097","https://openalex.org/W1532325895","https://openalex.org/W1550138383","https://openalex.org/W1562936962","https://openalex.org/W1735704341","https://openalex.org/W1880262756","https://openalex.org/W1965701254","https://openalex.org/W1967985363","https://openalex.org/W1995899261","https://openalex.org/W2004910511","https://openalex.org/W2012451988","https://openalex.org/W2018025378","https://openalex.org/W2057727318","https://openalex.org/W2066578320","https://openalex.org/W2069976248","https://openalex.org/W2100281619","https://openalex.org/W2102150019","https://openalex.org/W2103851489","https://openalex.org/W2114847203","https://openalex.org/W2120831232","https://openalex.org/W2121382432","https://openalex.org/W2126385963","https://openalex.org/W2129212156","https://openalex.org/W2138239858","https://openalex.org/W2139736061","https://openalex.org/W2139865360","https://openalex.org/W2146408445","https://openalex.org/W2162216736","https://openalex.org/W2163614729","https://openalex.org/W2165029826","https://openalex.org/W2165067209","https://openalex.org/W2167142478","https://openalex.org/W2174706414","https://openalex.org/W2181753993","https://openalex.org/W2328582909","https://openalex.org/W4213009331","https://openalex.org/W4231510805","https://openalex.org/W6600900956","https://openalex.org/W6602051699","https://openalex.org/W6602886879","https://openalex.org/W6603391096","https://openalex.org/W6607256616","https://openalex.org/W6607630814","https://openalex.org/W6608229634","https://openalex.org/W6608240289","https://openalex.org/W6609034467","https://openalex.org/W6610080132","https://openalex.org/W6630945507","https://openalex.org/W6633630685","https://openalex.org/W6637466079","https://openalex.org/W6639619044","https://openalex.org/W6675295344","https://openalex.org/W6680310457","https://openalex.org/W6681579648","https://openalex.org/W6683915439"],"related_works":["https://openalex.org/W2150136235","https://openalex.org/W2053591227","https://openalex.org/W2041353081","https://openalex.org/W2581240705","https://openalex.org/W187932805","https://openalex.org/W1641026212","https://openalex.org/W2078646730","https://openalex.org/W2087134418","https://openalex.org/W2323588885","https://openalex.org/W3047677938"],"abstract_inverted_index":{"OBJECTIVE:":[0],"To":[1],"develop":[2],"a":[3,60,106,140],"cost-effective,":[4],"case-based":[5],"reasoning":[6],"framework":[7],"for":[8,30,59,70,150,157,187,238],"clinical":[9,46,49,128,170,239],"research":[10],"eligibility":[11,250],"screening":[12],"by":[13,241],"only":[14,260],"reusing":[15],"the":[16,27,56,90,92,94,96,99,147,153,184,192,206,209,222],"electronic":[17],"health":[18],"records":[19],"(EHRs)":[20],"of":[21,76,110,125,146,194,208,255],"minimal":[22,262],"enrolled":[23],"participants":[24,51,124,148],"to":[25,54,65,81,85,89,234],"represent":[26],"target":[28],"patient":[29,100,220,243],"each":[31,213],"trial":[32,50,214,263],"under":[33,183],"consideration.":[34],"MATERIALS":[35],"AND":[36],"METHODS:":[37],"The":[38,73,180],"EHR":[39,74,116,244],"data--specifically":[40],"diagnosis,":[41],"medications,":[42],"laboratory":[43],"results,":[44],"and":[45,152,176,252],"notes--of":[47],"known":[48],"were":[52,79,105],"aggregated":[53],"profile":[55],"\"target":[57,83],"patient\"":[58,84],"trial,":[61],"which":[62],"was":[63,101,189],"used":[64,149,156,233],"discover":[66],"new":[67],"eligible":[68,195,219,236],"patients":[69,78,164,196,237],"that":[71],"trial.":[72],"data":[75,117,245],"unseen":[77],"matched":[80],"this":[82],"determine":[86],"their":[87],"relevance":[88],"trial;":[91],"higher":[93],"relevance,":[95],"more":[97],"likely":[98],"eligible.":[102],"Relevance":[103],"scores":[104],"weighted":[107],"linear":[108],"combination":[109],"cosine":[111],"similarities":[112],"computed":[113],"over":[114],"individual":[115],"types.":[118],"For":[119],"evaluation,":[120],"we":[121],"identified":[122],"262":[123],"13":[126],"diversified":[127],"trials":[129,240],"conducted":[130],"at":[131,166,205,216],"Columbia":[132],"University":[133],"as":[134],"our":[135,169],"gold":[136],"standard.":[137],"We":[138,172],"ran":[139],"2-fold":[141],"cross":[142],"validation":[143],"with":[144,160,197,212],"half":[145,155],"training":[151],"other":[154,161],"testing":[158],"along":[159],"30":[162],"000":[163],"selected":[165],"random":[167],"from":[168],"database.":[171],"performed":[173],"binary":[174],"classification":[175,188],"ranking":[177],"experiments.":[178],"RESULTS:":[179],"overall":[181],"area":[182],"ROC":[185],"curve":[186],"0.95,":[190],"enabling":[191],"highlight":[193],"good":[198],"precision.":[199],"Ranking":[200],"showed":[201],"satisfactory":[202],"results":[203],"especially":[204],"top":[207,223],"recommended":[210],"list,":[211],"having":[215],"least":[217],"one":[218],"in":[221],"five":[224],"positions.":[225],"CONCLUSIONS:":[226],"This":[227],"relevance-based":[228],"method":[229],"can":[230],"potentially":[231],"be":[232],"identify":[235],"processing":[242],"alone":[246],"without":[247],"parsing":[248],"free-text":[249],"criteria,":[251],"shows":[253],"promise":[254],"efficient":[256],"\"case-based":[257],"reasoning\"":[258],"modeled":[259],"on":[261],"participants.":[264]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":15},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":10},{"year":2017,"cited_by_count":9},{"year":2016,"cited_by_count":9}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}
