{"id":"https://openalex.org/W2951479040","doi":"https://doi.org/10.1093/jamia/ocz064","title":"Optimizing clinical trials recruitment via deep learning","display_name":"Optimizing clinical trials recruitment via deep learning","publication_year":2019,"publication_date":"2019-04-20","ids":{"openalex":"https://openalex.org/W2951479040","doi":"https://doi.org/10.1093/jamia/ocz064","mag":"2951479040","pmid":"https://pubmed.ncbi.nlm.nih.gov/31188432"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocz064","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocz064","pdf_url":null,"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":null,"license_id":null,"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":"green","oa_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647233","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101949034","display_name":"Jelena Gligorijevi\u0107","orcid":"https://orcid.org/0000-0003-3935-7106"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jelena Gligorijevic","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA"],"raw_orcid":"https://orcid.org/0000-0003-3935-7106","affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007743373","display_name":"Djordje Gligorijevic","orcid":"https://orcid.org/0000-0003-4018-0213"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Djordje Gligorijevic","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086924335","display_name":"Martin Pavlovski","orcid":"https://orcid.org/0000-0003-1495-2128"},"institutions":[{"id":"https://openalex.org/I174143326","display_name":"Macedonian Academy of Sciences and Arts","ror":"https://ror.org/003jsdw96","country_code":"MK","type":"education","lineage":["https://openalex.org/I174143326"]},{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["MK","US"],"is_corresponding":false,"raw_author_name":"Martin Pavlovski","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA","Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]},{"raw_affiliation_string":"Macedonian Academy of Sciences and Arts, Skopje, Republic of Macedonia","institution_ids":["https://openalex.org/I174143326"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055381515","display_name":"Elizabeth Milkovits","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108991","display_name":"IQVIA (United States)","ror":"https://ror.org/01mk44223","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108991"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Elizabeth Milkovits","raw_affiliation_strings":["IQVIA, Plymouth Meeting, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IQVIA, Plymouth Meeting, Pennsylvania, USA","institution_ids":["https://openalex.org/I4210108991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030103228","display_name":"Lucas M. Glass","orcid":"https://orcid.org/0000-0001-6613-5205"},"institutions":[{"id":"https://openalex.org/I4210108991","display_name":"IQVIA (United States)","ror":"https://ror.org/01mk44223","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108991"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lucas Glass","raw_affiliation_strings":["IQVIA, Plymouth Meeting, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IQVIA, Plymouth Meeting, Pennsylvania, USA","institution_ids":["https://openalex.org/I4210108991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078081742","display_name":"Kevin Grier","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108991","display_name":"IQVIA (United States)","ror":"https://ror.org/01mk44223","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108991"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kevin Grier","raw_affiliation_strings":["IQVIA, Plymouth Meeting, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IQVIA, Plymouth Meeting, Pennsylvania, USA","institution_ids":["https://openalex.org/I4210108991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5055592198","display_name":"Praveen Vankireddy","orcid":null},"institutions":[{"id":"https://openalex.org/I4210108991","display_name":"IQVIA (United States)","ror":"https://ror.org/01mk44223","country_code":"US","type":"company","lineage":["https://openalex.org/I4210108991"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Praveen Vankireddy","raw_affiliation_strings":["IQVIA, Plymouth Meeting, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IQVIA, Plymouth Meeting, Pennsylvania, USA","institution_ids":["https://openalex.org/I4210108991"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044038055","display_name":"Zoran Obradovi\u0107","orcid":"https://orcid.org/0000-0002-2051-0142"},"institutions":[{"id":"https://openalex.org/I84392919","display_name":"Temple University","ror":"https://ror.org/00kx1jb78","country_code":"US","type":"education","lineage":["https://openalex.org/I84392919"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Zoran Obradovic","raw_affiliation_strings":["Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Center for Data Analytics and Biomedical Informatics, Temple University, Philadelphia, Pennsylvania, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5044038055"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":2.2238,"has_fulltext":false,"cited_by_count":32,"citation_normalized_percentile":{"value":0.88991335,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"26","issue":"11","first_page":"1195","last_page":"1202"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.1120000034570694,"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"}},"topics":[{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.1120000034570694,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.093299999833107,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10582","display_name":"Ethics in Clinical Research","score":0.06870000064373016,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/clinical-trial","display_name":"Clinical trial","score":0.7428511381149292},{"id":"https://openalex.org/keywords/ranking","display_name":"Ranking (information retrieval)","score":0.6273117661476135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5236085057258606},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.49555790424346924},{"id":"https://openalex.org/keywords/patient-recruitment","display_name":"Patient recruitment","score":0.45668095350265503},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4434422552585602},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.43670299649238586},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.42688778042793274},{"id":"https://openalex.org/keywords/clinical-study-design","display_name":"Clinical study design","score":0.4255017340183258},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.422953337430954},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.392592191696167},{"id":"https://openalex.org/keywords/medical-physics","display_name":"Medical physics","score":0.37142491340637207},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3659420311450958},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.10142195224761963}],"concepts":[{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.7428511381149292},{"id":"https://openalex.org/C189430467","wikidata":"https://www.wikidata.org/wiki/Q7293293","display_name":"Ranking (information retrieval)","level":2,"score":0.6273117661476135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5236085057258606},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49555790424346924},{"id":"https://openalex.org/C2779174308","wikidata":"https://www.wikidata.org/wiki/Q17092352","display_name":"Patient recruitment","level":3,"score":0.45668095350265503},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4434422552585602},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.43670299649238586},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.42688778042793274},{"id":"https://openalex.org/C148482608","wikidata":"https://www.wikidata.org/wiki/Q17007018","display_name":"Clinical study design","level":3,"score":0.4255017340183258},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.422953337430954},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.392592191696167},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.37142491340637207},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3659420311450958},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.10142195224761963},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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},{"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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000077321","descriptor_name":"Deep Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D002986","descriptor_name":"Clinical Trials as Topic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002986","descriptor_name":"Clinical Trials as Topic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002986","descriptor_name":"Clinical Trials as Topic","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D002986","descriptor_name":"Clinical Trials as Topic","qualifier_ui":"Q000379","qualifier_name":"methods","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":"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":"D007344","descriptor_name":"Insurance Claim Reporting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007344","descriptor_name":"Insurance Claim Reporting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007344","descriptor_name":"Insurance Claim Reporting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007344","descriptor_name":"Insurance Claim Reporting","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012108","descriptor_name":"Research Personnel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012108","descriptor_name":"Research Personnel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012108","descriptor_name":"Research Personnel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D012108","descriptor_name":"Research Personnel","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016208","descriptor_name":"Databases, Factual","qualifier_ui":null,"qualifier_name":null,"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":"D018579","descriptor_name":"Patient Selection","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocz064","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocz064","pdf_url":null,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of the American Medical Informatics Association","raw_type":"journal-article"},{"id":"pmid:31188432","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/31188432","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:7647233","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647233","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":"pmh:oai:pubmedcentral.nih.gov:7647233","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/7647233","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"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1538131130","https://openalex.org/W2008056655","https://openalex.org/W2069870183","https://openalex.org/W2076424959","https://openalex.org/W2096252540","https://openalex.org/W2127332912","https://openalex.org/W2131774270","https://openalex.org/W2145522203","https://openalex.org/W2460054580","https://openalex.org/W2469314752","https://openalex.org/W2517086456","https://openalex.org/W2529279524","https://openalex.org/W2559655401","https://openalex.org/W2604272474","https://openalex.org/W2615117870","https://openalex.org/W2736067609","https://openalex.org/W2758817823","https://openalex.org/W2964006392","https://openalex.org/W2985962305","https://openalex.org/W6632100814","https://openalex.org/W6718610044"],"related_works":["https://openalex.org/W2409877361","https://openalex.org/W2128497441","https://openalex.org/W2126486918","https://openalex.org/W2790193975","https://openalex.org/W1576735944","https://openalex.org/W2067584555","https://openalex.org/W2104933030","https://openalex.org/W3183817480","https://openalex.org/W4285900245","https://openalex.org/W2799753303"],"abstract_inverted_index":{"OBJECTIVE:":[0],"Clinical":[1],"trials,":[2,237],"prospective":[3],"research":[4,222],"studies":[5,133],"on":[6,94,118,123,131,149,156],"human":[7],"participants":[8],"carried":[9],"out":[10],"by":[11,145],"a":[12,19,33,89],"distributed":[13],"team":[14],"of":[15,25,69,73,96,190,216,230,247],"clinical":[16,63,82,125,165,236],"investigators,":[17],"play":[18],"crucial":[20],"role":[21],"in":[22,28,98,183],"the":[23,70,137,142,187,191,195,201,213,217,228,245],"development":[24,75],"new":[26,124,164,208,248],"treatments":[27],"health":[29],"care.":[30],"This":[31],"is":[32,59,67,102],"complex":[34],"and":[35,49,52,66,109,114,152,203,240,243],"expensive":[36],"process":[37],"where":[38],"investigators":[39,58,116,151,162,232],"aim":[40],"to":[41,104,147,154,199,212,226],"enroll":[42],"volunteers":[43],"with":[44],"predetermined":[45],"characteristics,":[46],"administer":[47],"treatment(s),":[48],"collect":[50],"safety":[51],"efficacy":[53],"data.":[54],"Therefore,":[55],"choosing":[56],"top-enrolling":[57],"essential":[60],"for":[61,163,235],"efficient":[62],"trial":[64],"execution":[65],"1":[68],"primary":[71],"drivers":[72],"drug":[74],"cost.":[76],"MATERIALS":[77],"AND":[78],"METHODS:":[79],"To":[80],"facilitate":[81],"trials":[83],"optimization,":[84],"we":[85],"propose":[86],"DeepMatch":[87],"(DM),":[88],"novel":[90],"approach":[91],"that":[92,136,173],"builds":[93],"top":[95],"advances":[97],"deep":[99],"learning.":[100],"DM":[101,174],"designed":[103],"learn":[105],"from":[106],"both":[107],"investigator":[108,192],"trial-related":[110],"heterogeneous":[111],"data":[112],"sources":[113],"rank":[115],"based":[117],"their":[119],"expected":[120],"enrollment":[121,188],"performance":[122],"trials.":[126,166],"RESULTS:":[127],"Large-scale":[128],"evaluation":[129],"conducted":[130],"2618":[132],"provides":[134],"evidence":[135],"proposed":[138],"ranking-based":[139],"framework":[140],"improves":[141],"current":[143,180],"state-of-the-art":[144],"up":[146,153],"19%":[148],"ranking":[150],"10%":[155],"detecting":[157],"top/bottom":[158],"performers":[159],"when":[160],"recruiting":[161],"DISCUSSION:":[167],"The":[168],"extensive":[169],"experimental":[170],"section":[171],"suggests":[172],"can":[175],"provide":[176],"substantial":[177],"improvement":[178],"over":[179],"industry":[181],"standards":[182],"several":[184],"regards:":[185],"(1)":[186],"potential":[189],"list,":[193,202],"(2)":[194],"time":[196],"it":[197],"takes":[198],"generate":[200],"(3)":[204],"data-informed":[205],"decisions":[206],"about":[207],"investigators.":[209],"CONCLUSION:":[210],"Due":[211],"great":[214],"significance":[215],"problem":[218],"at":[219],"hand,":[220],"related":[221],"efforts":[223],"are":[224,233],"set":[225],"shift":[227],"paradigm":[229],"how":[231],"chosen":[234],"thereby":[238],"optimizing":[239],"automating":[241],"them":[242],"reducing":[244],"cost":[246],"therapies.":[249]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":10},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":3}],"updated_date":"2026-06-03T09:05:47.796612","created_date":"2025-10-10T00:00:00"}