{"id":"https://openalex.org/W2903877319","doi":"https://doi.org/10.1186/s12911-018-0672-0","title":"EHR phenotyping via jointly embedding medical concepts and words into a unified vector space","display_name":"EHR phenotyping via jointly embedding medical concepts and words into a unified vector space","publication_year":2018,"publication_date":"2018-12-01","ids":{"openalex":"https://openalex.org/W2903877319","doi":"https://doi.org/10.1186/s12911-018-0672-0","mag":"2903877319","pmid":"https://pubmed.ncbi.nlm.nih.gov/30537974"},"language":"en","primary_location":{"id":"doi:10.1186/s12911-018-0672-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-018-0672-0","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-018-0672-0","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-018-0672-0","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5063506109","display_name":"Tian Bai","orcid":"https://orcid.org/0000-0001-9482-5553"},"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":"Tian Bai","raw_affiliation_strings":["Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050030419","display_name":"Ashis Kumar Chanda","orcid":"https://orcid.org/0000-0002-0118-8901"},"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":"Ashis Kumar Chanda","raw_affiliation_strings":["Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010363332","display_name":"Brian L. Egleston","orcid":"https://orcid.org/0000-0002-1633-799X"},"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"]},{"id":"https://openalex.org/I1289437631","display_name":"Fox Chase Cancer Center","ror":"https://ror.org/0567t7073","country_code":"US","type":"healthcare","lineage":["https://openalex.org/I1289437631","https://openalex.org/I4210122924"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Brian L. Egleston","raw_affiliation_strings":["Fox Chase Cancer Center, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Fox Chase Cancer Center, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I1289437631","https://openalex.org/I84392919"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5059847153","display_name":"Slobodan Vu\u010deti\u0107","orcid":"https://orcid.org/0000-0001-5884-6293"},"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":"Slobodan Vucetic","raw_affiliation_strings":["Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA. vucetic@temple.edu","Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA. vucetic@temple.edu","institution_ids":[]},{"raw_affiliation_string":"Department of Computer & Information Sciences, Temple University, Philadelphia, PA, USA","institution_ids":["https://openalex.org/I84392919"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5063506109"],"corresponding_institution_ids":["https://openalex.org/I84392919"],"apc_list":{"value":1570,"currency":"GBP","value_usd":1925},"apc_paid":{"value":1570,"currency":"GBP","value_usd":1925},"fwci":4.3998,"has_fulltext":true,"cited_by_count":47,"citation_normalized_percentile":{"value":0.95566771,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"18","issue":"S4","first_page":"123","last_page":"123"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9998999834060669,"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":0.9998999834060669,"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/T10028","display_name":"Topic Modeling","score":0.9965999722480774,"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":0.991100013256073,"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/word2vec","display_name":"Word2vec","score":0.7499156594276428},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7292044758796692},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5819110870361328},{"id":"https://openalex.org/keywords/vector-space-model","display_name":"Vector space model","score":0.5777410864830017},{"id":"https://openalex.org/keywords/diagnosis-code","display_name":"Diagnosis code","score":0.5407921671867371},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.52585369348526},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.48953112959861755},{"id":"https://openalex.org/keywords/medical-classification","display_name":"Medical classification","score":0.48905500769615173},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.48718804121017456},{"id":"https://openalex.org/keywords/word-embedding","display_name":"Word embedding","score":0.4684434235095978},{"id":"https://openalex.org/keywords/space","display_name":"Space (punctuation)","score":0.46111157536506653},{"id":"https://openalex.org/keywords/vector-space","display_name":"Vector space","score":0.4557506740093231},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.44993332028388977},{"id":"https://openalex.org/keywords/word","display_name":"Word (group theory)","score":0.4447863698005676},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4141339063644409},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.39522355794906616},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.38811174035072327},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.3761177062988281},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.23346087336540222},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.1252535581588745},{"id":"https://openalex.org/keywords/population","display_name":"Population","score":0.10632789134979248},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.10518273711204529}],"concepts":[{"id":"https://openalex.org/C2776461190","wikidata":"https://www.wikidata.org/wiki/Q22673982","display_name":"Word2vec","level":3,"score":0.7499156594276428},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7292044758796692},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5819110870361328},{"id":"https://openalex.org/C89686163","wikidata":"https://www.wikidata.org/wiki/Q1187982","display_name":"Vector space model","level":2,"score":0.5777410864830017},{"id":"https://openalex.org/C45827449","wikidata":"https://www.wikidata.org/wiki/Q5270338","display_name":"Diagnosis code","level":3,"score":0.5407921671867371},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.52585369348526},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.48953112959861755},{"id":"https://openalex.org/C154874363","wikidata":"https://www.wikidata.org/wiki/Q3518464","display_name":"Medical classification","level":2,"score":0.48905500769615173},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.48718804121017456},{"id":"https://openalex.org/C2777462759","wikidata":"https://www.wikidata.org/wiki/Q18395344","display_name":"Word embedding","level":3,"score":0.4684434235095978},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.46111157536506653},{"id":"https://openalex.org/C13336665","wikidata":"https://www.wikidata.org/wiki/Q125977","display_name":"Vector space","level":2,"score":0.4557506740093231},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.44993332028388977},{"id":"https://openalex.org/C90805587","wikidata":"https://www.wikidata.org/wiki/Q10944557","display_name":"Word (group theory)","level":2,"score":0.4447863698005676},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4141339063644409},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.39522355794906616},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.38811174035072327},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.3761177062988281},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.23346087336540222},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.1252535581588745},{"id":"https://openalex.org/C2908647359","wikidata":"https://www.wikidata.org/wiki/Q2625603","display_name":"Population","level":2,"score":0.10632789134979248},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.10518273711204529},{"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/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C99454951","wikidata":"https://www.wikidata.org/wiki/Q932068","display_name":"Environmental health","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"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/C159110408","wikidata":"https://www.wikidata.org/wiki/Q121176","display_name":"Nursing","level":1,"score":0.0},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","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":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009323","descriptor_name":"Natural Language Processing","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D009626","descriptor_name":"Terminology as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009626","descriptor_name":"Terminology as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D009626","descriptor_name":"Terminology as Topic","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D010641","descriptor_name":"Phenotype","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014825","descriptor_name":"Vocabulary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014825","descriptor_name":"Vocabulary","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014825","descriptor_name":"Vocabulary","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":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":"D059019","descriptor_name":"Clinical Coding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059019","descriptor_name":"Clinical Coding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D059019","descriptor_name":"Clinical Coding","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":6,"locations":[{"id":"doi:10.1186/s12911-018-0672-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-018-0672-0","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-018-0672-0","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},{"id":"pmid:30537974","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/30537974","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":"BMC medical informatics and decision making","raw_type":null},{"id":"pmh:oai:doaj.org/article:4a99d35d65f047caa89daf28775c8add","is_oa":true,"landing_page_url":"https://doaj.org/article/4a99d35d65f047caa89daf28775c8add","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Medical Informatics and Decision Making, Vol 18, Iss S4, Pp 15-25 (2018)","raw_type":"article"},{"id":"pmh:oai:europepmc.org:5265089","is_oa":true,"landing_page_url":"http://europepmc.org/pmc/articles/PMC6290514","pdf_url":null,"source":{"id":"https://openalex.org/S4306400806","display_name":"Europe PMC (PubMed Central)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1303153112","host_organization_name":"European Bioinformatics Institute","host_organization_lineage":["https://openalex.org/I1303153112"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Text"},{"id":"pmh:oai:pubmedcentral.nih.gov:6290514","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/6290514","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"BMC Med Inform Decis Mak","raw_type":"Text"},{"id":"pmh:oai:scholarshare.temple.edu:20.500.12613/4363","is_oa":true,"landing_page_url":"http://hdl.handle.net/20.500.12613/4363","pdf_url":null,"source":{"id":"https://openalex.org/S4306402624","display_name":"TUScholarShare (Temple University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I84392919","host_organization_name":"Temple University","host_organization_lineage":["https://openalex.org/I84392919"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":{"id":"doi:10.1186/s12911-018-0672-0","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s12911-018-0672-0","pdf_url":"https://bmcmedinformdecismak.biomedcentral.com/track/pdf/10.1186/s12911-018-0672-0","source":{"id":"https://openalex.org/S107516304","display_name":"BMC Medical Informatics and Decision Making","issn_l":"1472-6947","issn":["1472-6947"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310320256","host_organization_name":"BioMed Central","host_organization_lineage":["https://openalex.org/P4310320256","https://openalex.org/P4310319965"],"host_organization_lineage_names":["BioMed Central","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BMC Medical Informatics and Decision Making","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.6499999761581421,"display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G342159322","display_name":null,"funder_award_id":"CA006927","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"},{"id":"https://openalex.org/G7562191925","display_name":null,"funder_award_id":"P30CA006927","funder_id":"https://openalex.org/F4320332161","funder_display_name":"National Institutes of Health"}],"funders":[{"id":"https://openalex.org/F4320319990","display_name":"National Institute for Health and Care Research","ror":"https://ror.org/0187kwz08"},{"id":"https://openalex.org/F4320332161","display_name":"National Institutes of Health","ror":"https://ror.org/01cwqze88"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903877319.pdf","grobid_xml":"https://content.openalex.org/works/W2903877319.grobid-xml"},"referenced_works_count":45,"referenced_works":["https://openalex.org/W74439177","https://openalex.org/W200246157","https://openalex.org/W1579185617","https://openalex.org/W1757838145","https://openalex.org/W1880262756","https://openalex.org/W1902526473","https://openalex.org/W1934443959","https://openalex.org/W1969486090","https://openalex.org/W1981276685","https://openalex.org/W2014516834","https://openalex.org/W2029040272","https://openalex.org/W2030498706","https://openalex.org/W2061929286","https://openalex.org/W2071976320","https://openalex.org/W2078346178","https://openalex.org/W2099307202","https://openalex.org/W2133816312","https://openalex.org/W2135157036","https://openalex.org/W2157358083","https://openalex.org/W2165680991","https://openalex.org/W2171252372","https://openalex.org/W2209812445","https://openalex.org/W2284851926","https://openalex.org/W2290827644","https://openalex.org/W2313284959","https://openalex.org/W2337688125","https://openalex.org/W2396881363","https://openalex.org/W2460054580","https://openalex.org/W2467995757","https://openalex.org/W2479597298","https://openalex.org/W2503943998","https://openalex.org/W2514071032","https://openalex.org/W2518582440","https://openalex.org/W2773464447","https://openalex.org/W2911456401","https://openalex.org/W2912915691","https://openalex.org/W2913894733","https://openalex.org/W2914761779","https://openalex.org/W2914874661","https://openalex.org/W2950133940","https://openalex.org/W2963618814","https://openalex.org/W2964006392","https://openalex.org/W2985962305","https://openalex.org/W4250849363","https://openalex.org/W6639619044"],"related_works":["https://openalex.org/W2946409105","https://openalex.org/W3152932816","https://openalex.org/W2985392712","https://openalex.org/W4388996947","https://openalex.org/W3133567596","https://openalex.org/W2798009317","https://openalex.org/W4382201653","https://openalex.org/W3203949288","https://openalex.org/W2998070955","https://openalex.org/W3175524270"],"abstract_inverted_index":{"The":[0,35],"jointly":[1],"learned":[2,37],"representations":[3,36],"of":[4,32,47],"medical":[5],"concepts":[6],"and":[7,23],"words":[8,16],"capture":[9],"not":[10],"only":[11],"similarity":[12,20],"between":[13,21],"codes":[14,22],"or":[15],"themselves,":[17],"but":[18],"also":[19,43],"words.":[24],"They":[25],"can":[26],"be":[27],"used":[28],"to":[29],"extract":[30],"phenotypes":[31],"different":[33],"diseases.":[34],"by":[38],"the":[39],"joint":[40],"model":[41],"are":[42],"useful":[44],"for":[45],"construction":[46],"patient":[48],"features.":[49]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":6}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}
