{"id":"https://openalex.org/W4387848740","doi":"https://doi.org/10.1145/3583780.3615113","title":"ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons","display_name":"ClinicalRisk: A New Therapy-related Clinical Trial Dataset for Predicting Trial Status and Failure Reasons","publication_year":2023,"publication_date":"2023-10-21","ids":{"openalex":"https://openalex.org/W4387848740","doi":"https://doi.org/10.1145/3583780.3615113","pmid":"https://pubmed.ncbi.nlm.nih.gov/38601744"},"language":"en","primary_location":{"id":"doi:10.1145/3583780.3615113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11005852/pdf/nihms-1982403.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5052855248","display_name":"Junyu Luo","orcid":"https://orcid.org/0000-0002-4897-7051"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Junyu Luo","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101619415","display_name":"Zhi Qiao","orcid":"https://orcid.org/0000-0002-2666-2438"},"institutions":[{"id":"https://openalex.org/I4210135459","display_name":"United Imaging Healthcare (China)","ror":"https://ror.org/03qqw3m37","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210135459"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Qiao","raw_affiliation_strings":["United Imaging Healthcare, Beijing, China"],"affiliations":[{"raw_affiliation_string":"United Imaging Healthcare, Beijing, China","institution_ids":["https://openalex.org/I4210135459"]}]},{"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, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"IQVIA, Chicago, IL, USA","institution_ids":["https://openalex.org/I4210108991"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645991","display_name":"Cao Xiao","orcid":"https://orcid.org/0000-0002-3869-6942"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao Xiao","raw_affiliation_strings":["GE HealthCare, Chicago, IL, USA"],"affiliations":[{"raw_affiliation_string":"GE HealthCare, Chicago, IL, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001030192","display_name":"Fenglong Ma","orcid":"https://orcid.org/0000-0002-4999-0303"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Fenglong Ma","raw_affiliation_strings":["The Pennsylvania State University, University Park, PA, USA"],"affiliations":[{"raw_affiliation_string":"The Pennsylvania State University, University Park, PA, USA","institution_ids":["https://openalex.org/I130769515"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5052855248"],"corresponding_institution_ids":["https://openalex.org/I130769515"],"apc_list":null,"apc_paid":null,"fwci":1.2098,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83590768,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"2023","issue":null,"first_page":"5356","last_page":"5360"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9976000189781189,"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":0.9976000189781189,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9951000213623047,"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":0.9896000027656555,"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/clinical-trial","display_name":"Clinical trial","score":0.7923427820205688},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.7121882438659668},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6242774128913879},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6072961091995239},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45708250999450684},{"id":"https://openalex.org/keywords/clinical-practice","display_name":"Clinical Practice","score":0.4535549283027649},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4174463450908661},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3346658945083618},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.33081185817718506},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.30535638332366943},{"id":"https://openalex.org/keywords/physical-therapy","display_name":"Physical therapy","score":0.11117064952850342},{"id":"https://openalex.org/keywords/pathology","display_name":"Pathology","score":0.08092173933982849},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06594610214233398}],"concepts":[{"id":"https://openalex.org/C535046627","wikidata":"https://www.wikidata.org/wiki/Q30612","display_name":"Clinical trial","level":2,"score":0.7923427820205688},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.7121882438659668},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6242774128913879},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6072961091995239},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45708250999450684},{"id":"https://openalex.org/C2779974597","wikidata":"https://www.wikidata.org/wiki/Q28448986","display_name":"Clinical Practice","level":2,"score":0.4535549283027649},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4174463450908661},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3346658945083618},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.33081185817718506},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.30535638332366943},{"id":"https://openalex.org/C1862650","wikidata":"https://www.wikidata.org/wiki/Q186005","display_name":"Physical therapy","level":1,"score":0.11117064952850342},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08092173933982849},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06594610214233398},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3583780.3615113","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3583780.3615113","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 32nd ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmid:38601744","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38601744","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":"Proceedings of the ... ACM International Conference on Information & Knowledge Management. ACM International Conference on Information and Knowledge Management","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:11005852","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11005852","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11005852/pdf/nihms-1982403.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc ACM Int Conf Inf Knowl Manag","raw_type":"Text"}],"best_oa_location":{"id":"pmh:oai:pubmedcentral.nih.gov:11005852","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11005852","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC11005852/pdf/nihms-1982403.pdf","source":{"id":"https://openalex.org/S2764455111","display_name":"PubMed Central","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Proc ACM Int Conf Inf Knowl Manag","raw_type":"Text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1693012609","display_name":"CAREER: Automated Multimodal Learning for Healthcare","funder_award_id":"2238275","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4387848740.pdf"},"referenced_works_count":13,"referenced_works":["https://openalex.org/W2064675550","https://openalex.org/W2114847203","https://openalex.org/W2470673105","https://openalex.org/W2604410201","https://openalex.org/W2789816271","https://openalex.org/W2795274513","https://openalex.org/W2909678312","https://openalex.org/W2911661483","https://openalex.org/W2997050424","https://openalex.org/W3012592703","https://openalex.org/W3099085316","https://openalex.org/W3210890373","https://openalex.org/W4210389911"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W2745001401","https://openalex.org/W4321353415","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W972276598","https://openalex.org/W2087343574","https://openalex.org/W4246352526","https://openalex.org/W2121910908"],"abstract_inverted_index":{"Clinical":[0],"trials":[1,25],"aim":[2],"to":[3,48,67],"study":[4],"new":[5,91],"tests":[6],"and":[7,28,30,57,148],"evaluate":[8],"their":[9],"effects":[10],"on":[11,130,145],"human":[12],"health":[13],"outcomes,":[14],"which":[15],"has":[16],"a":[17,54,70,77,90],"huge":[18],"market":[19],"size.":[20],"However,":[21,63],"carrying":[22],"out":[23,59,150],"clinical":[24,39,55,98,157,174],"is":[26,65,109],"expensive":[27],"time-consuming":[29],"often":[31],"ends":[32],"in":[33,84,164],"no":[34],"results.":[35],"It":[36],"will":[37],"revolutionize":[38],"practice":[40],"if":[41],"we":[42,87,138],"can":[43],"develop":[44,68],"an":[45,161],"effective":[46],"model":[47,71],"automatically":[49],"estimate":[50],"the":[51,74,95,112,117,131,152,156,169],"status":[52,105,113],"of":[53,73,76,106,155],"trial":[56,99,158,175],"find":[58,149],"possible":[60],"failure":[61,118],"reasons.":[62],"it":[64],"challenging":[66],"such":[69],"because":[72],"lack":[75],"benchmark":[78],"dataset.":[79],"To":[80,115],"address":[81],"these":[82],"challenges,":[83],"this":[85,146],"paper,":[86],"first":[88],"build":[89],"dataset":[92],"by":[93],"extracting":[94],"publicly":[96],"available":[97],"reports":[100],"from":[101],"ClinicalTrials.gov.":[102],"The":[103],"associated":[104,133],"each":[107,126],"report":[108,128],"treated":[110],"as":[111],"label.":[114],"analyze":[116],"reasons,":[119],"domain":[120],"experts":[121],"help":[122],"us":[123],"manually":[124],"annotate":[125],"failed":[127],"based":[129],"description":[132],"with":[134],"it.":[135],"More":[136],"importantly,":[137],"examine":[139],"several":[140],"state-of-the-art":[141],"text":[142],"classification":[143,176],"baselines":[144],"task":[147],"that":[151],"unique":[153],"format":[154],"protocols":[159],"plays":[160],"essential":[162],"role":[163],"affecting":[165],"prediction":[166],"accuracy,":[167],"demonstrating":[168],"need":[170],"for":[171],"specially":[172],"designed":[173],"models.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}