{"id":"https://openalex.org/W4324321244","doi":"https://doi.org/10.1093/jamia/ocad036","title":"<i>EvidenceMap</i>: a three-level knowledge representation for medical evidence computation and comprehension","display_name":"<i>EvidenceMap</i>: a three-level knowledge representation for medical evidence computation and comprehension","publication_year":2023,"publication_date":"2023-03-15","ids":{"openalex":"https://openalex.org/W4324321244","doi":"https://doi.org/10.1093/jamia/ocad036","pmid":"https://pubmed.ncbi.nlm.nih.gov/36921288"},"language":"en","primary_location":{"id":"doi:10.1093/jamia/ocad036","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocad036","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://pmc.ncbi.nlm.nih.gov/articles/PMC10198523/pdf/ocad036.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000333588","display_name":"Tian Kang","orcid":"https://orcid.org/0000-0002-8460-7525"},"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":"Tian Kang","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University , New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019339214","display_name":"Yingcheng Sun","orcid":"https://orcid.org/0000-0002-8693-5768"},"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":"Yingcheng Sun","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University , New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-8693-5768","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100368625","display_name":"Jae Hyun Kim","orcid":"https://orcid.org/0000-0002-8609-7135"},"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":"Jae Hyun Kim","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University , New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051450267","display_name":"Casey Ta","orcid":"https://orcid.org/0000-0002-4679-805X"},"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":"Casey Ta","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University , New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-4679-805X","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021255571","display_name":"Adler Perotte","orcid":"https://orcid.org/0000-0002-6695-0282"},"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":"Adler Perotte","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University , New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0002-6695-0282","affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112901104","display_name":"Kayla Schiffer","orcid":null},"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":"Kayla Schiffer","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University , New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083676460","display_name":"Mutong Wu","orcid":null},"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":"Mutong Wu","raw_affiliation_strings":["Department of Statistics, Columbia University , New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084999217","display_name":"Yang Zhao","orcid":"https://orcid.org/0000-0002-1501-0565"},"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":"Yang Zhao","raw_affiliation_strings":["Department of Statistics, Columbia University , New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069828281","display_name":"Nour Moustafa-Fahmy","orcid":null},"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":"Nour Moustafa-Fahmy","raw_affiliation_strings":["Department of Statistics, Columbia University , New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Statistics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085113833","display_name":"Yifan Peng","orcid":"https://orcid.org/0000-0001-9309-8331"},"institutions":[{"id":"https://openalex.org/I205783295","display_name":"Cornell University","ror":"https://ror.org/05bnh6r87","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295"]},{"id":"https://openalex.org/I4387153466","display_name":"Weill Cornell Medicine","ror":"https://ror.org/02r109517","country_code":"US","type":"education","lineage":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yifan Peng","raw_affiliation_strings":["Department of Population Health Sciences, Weill Cornell Medicine , New York, New York, USA"],"raw_orcid":"https://orcid.org/0000-0001-9309-8331","affiliations":[{"raw_affiliation_string":"Department of Population Health Sciences, Weill Cornell Medicine , New York, New York, USA","institution_ids":["https://openalex.org/I205783295","https://openalex.org/I4387153466"]}]},{"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":true,"raw_author_name":"Chunhua Weng","raw_affiliation_strings":["Department of Biomedical Informatics, Columbia University , New York, New York, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biomedical Informatics, Columbia University , New York, New York, USA","institution_ids":["https://openalex.org/I78577930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009604048"],"corresponding_institution_ids":["https://openalex.org/I78577930"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":2.0182,"has_fulltext":true,"cited_by_count":15,"citation_normalized_percentile":{"value":0.86376717,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"30","issue":"6","first_page":"1022","last_page":"1031"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.40689998865127563,"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":0.40689998865127563,"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/T10206","display_name":"Meta-analysis and systematic reviews","score":0.28839999437332153,"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"}},{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.1559000015258789,"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/computer-science","display_name":"Computer science","score":0.724718451499939},{"id":"https://openalex.org/keywords/randomized-controlled-trial","display_name":"Randomized controlled trial","score":0.6259527206420898},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.6046898365020752},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5430760383605957},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.5339772701263428},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5136603713035583},{"id":"https://openalex.org/keywords/annotation","display_name":"Annotation","score":0.4386945366859436},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.41364994645118713},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.36332541704177856},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.23397615551948547},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.09025412797927856}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.724718451499939},{"id":"https://openalex.org/C168563851","wikidata":"https://www.wikidata.org/wiki/Q1436668","display_name":"Randomized controlled trial","level":2,"score":0.6259527206420898},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.6046898365020752},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5430760383605957},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.5339772701263428},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5136603713035583},{"id":"https://openalex.org/C2776321320","wikidata":"https://www.wikidata.org/wiki/Q857525","display_name":"Annotation","level":2,"score":0.4386945366859436},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.41364994645118713},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.36332541704177856},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.23397615551948547},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.09025412797927856},{"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C141071460","wikidata":"https://www.wikidata.org/wiki/Q40821","display_name":"Surgery","level":1,"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000086382","descriptor_name":"COVID-19","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":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D032882","descriptor_name":"Comprehension","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D032882","descriptor_name":"Comprehension","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D032882","descriptor_name":"Comprehension","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D032882","descriptor_name":"Comprehension","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D039781","descriptor_name":"PubMed","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1093/jamia/ocad036","is_oa":false,"landing_page_url":"https://doi.org/10.1093/jamia/ocad036","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:36921288","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36921288","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:10198523","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10198523","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10198523/pdf/ocad036.pdf","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:10198523","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10198523","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10198523/pdf/ocad036.pdf","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":[{"id":"https://metadata.un.org/sdg/4","score":0.8600000143051147,"display_name":"Quality Education"}],"awards":[{"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/G691527071","display_name":null,"funder_award_id":"R00 LM013001","funder_id":"https://openalex.org/F4320337372","funder_display_name":"U.S. National Library of Medicine"}],"funders":[{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"},{"id":"https://openalex.org/F4320337372","display_name":"U.S. National Library of Medicine","ror":"https://ror.org/0060t0j89"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4324321244.pdf"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W49437421","https://openalex.org/W94326845","https://openalex.org/W1559818520","https://openalex.org/W1964172790","https://openalex.org/W1969122915","https://openalex.org/W2005958938","https://openalex.org/W2033403400","https://openalex.org/W2041033959","https://openalex.org/W2111722073","https://openalex.org/W2139865360","https://openalex.org/W2164246064","https://openalex.org/W2184378182","https://openalex.org/W2322604240","https://openalex.org/W2342073150","https://openalex.org/W2484269232","https://openalex.org/W2600107025","https://openalex.org/W2902726914","https://openalex.org/W2904465258","https://openalex.org/W2914368780","https://openalex.org/W2921815032","https://openalex.org/W2948870221","https://openalex.org/W2964179635","https://openalex.org/W2980993994","https://openalex.org/W2991314401","https://openalex.org/W3037933615","https://openalex.org/W3113277243","https://openalex.org/W3139250883","https://openalex.org/W3158862932","https://openalex.org/W3163414580","https://openalex.org/W3199283437","https://openalex.org/W3204256482","https://openalex.org/W3217122335","https://openalex.org/W6601952396","https://openalex.org/W6642349764","https://openalex.org/W6735285355","https://openalex.org/W6750203311","https://openalex.org/W6768822636","https://openalex.org/W6777418182","https://openalex.org/W7028469425"],"related_works":["https://openalex.org/W2361861616","https://openalex.org/W2263699433","https://openalex.org/W2377979023","https://openalex.org/W2218034408","https://openalex.org/W2392921965","https://openalex.org/W2358755282","https://openalex.org/W2625833328","https://openalex.org/W1533177136","https://openalex.org/W4380994516","https://openalex.org/W2251519152"],"abstract_inverted_index":{"OBJECTIVE:":[0],"To":[1],"develop":[2],"a":[3,12,25,91,236],"computable":[4,237],"representation":[5,114,256],"for":[6,31,227,247],"medical":[7,66],"evidence":[8,35,67,100,110,154,196,230,249],"and":[9,58,102,115,127,138,166,173,184,204,219,251,253],"to":[10,60,85,149,257],"contribute":[11],"gold":[13],"standard":[14],"dataset":[15],"of":[16,49,52,65,81,145,181,190,202,225],"annotated":[17,74],"randomized":[18],"controlled":[19],"trial":[20],"(RCT)":[21],"abstracts,":[22],"along":[23],"with":[24,112],"natural":[26],"language":[27],"processing":[28],"(NLP)":[29],"pipeline":[30,192],"transforming":[32,228],"free-text":[33,229],"RCT":[34,71,130,260],"in":[36,206],"PubMed":[37],"into":[38,222,235],"the":[39,62,79,97,109,146,158,169,191,195,207,215,232],"structured":[40],"representation.":[41],"MATERIALS":[42],"AND":[43],"METHODS:":[44],"Our":[45],"representation,":[46],"EvidenceMap,":[47,165],"consists":[48],"3":[50,223],"levels":[51,224],"abstraction:":[53],"Medical":[54],"Evidence":[55],"Entity,":[56],"Proposition":[57],"Map,":[59],"represent":[61],"hierarchical":[63],"structure":[64],"composition.":[68],"Randomly":[69],"selected":[70],"abstracts":[72,131],"were":[73,132,161],"following":[75,117],"EvidenceMap":[76,98,113,141,213],"based":[77],"on":[78],"consensus":[80],"2":[82],"independent":[83],"annotators":[84],"train":[86],"an":[87,244,254],"NLP":[88],"pipeline.":[89],"Via":[90],"user":[92],"study,":[93],"we":[94],"measured":[95],"how":[96],"improved":[99],"comprehension":[101],"analyzed":[103],"its":[104],"representative":[105],"capacity":[106],"by":[107,164],"comparing":[108],"annotation":[111,160],"without":[116],"any":[118],"specific":[119],"guidelines.":[120],"RESULTS:":[121],"Two":[122],"corpora":[123],"including":[124],"229":[125],"disease-agnostic":[126],"80":[128],"COVID-19":[129],"annotated,":[133],"yielding":[134],"12":[135],"725":[136],"entities":[137],"1602":[139],"propositions.":[140],"saves":[142],"users":[143,167],"51.9%":[144],"time":[147],"compared":[148],"reading":[150],"raw-text":[151],"abstracts.":[152],"Most":[153],"elements":[155],"identified":[156],"during":[157],"freeform":[159],"successfully":[162],"represented":[163],"gave":[168],"enrollment,":[170],"study":[171,174],"design,":[172],"Results":[175],"sections":[176],"mean":[177],"5-scale":[178],"Likert":[179],"ratings":[180],"4.85,":[182],"4.70,":[183],"4.20,":[185],"respectively.":[186],"The":[187],"end-to-end":[188],"evaluations":[189],"show":[193],"that":[194],"proposition":[197],"formulation":[198],"achieves":[199],"F1":[200],"scores":[201],"0.84":[203],"0.86":[205],"adjusted":[208],"random":[209],"index":[210],"score.":[211],"CONCLUSIONS:":[212],"extends":[214],"participant,":[216],"intervention,":[217],"comparator,":[218],"outcome":[220],"framework":[221],"abstraction":[226],"from":[231],"clinical":[233],"literature":[234],"structure.":[238],"It":[239],"can":[240],"be":[241],"used":[242],"as":[243],"interoperable":[245],"format":[246],"better":[248],"retrieval":[250],"synthesis":[252],"interpretable":[255],"efficiently":[258],"comprehend":[259],"findings.":[261]},"counts_by_year":[{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":2}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2023-03-16T00:00:00"}
