{"id":"https://openalex.org/W4213011888","doi":"https://doi.org/10.1186/s13326-022-00261-9","title":"Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction","display_name":"Extending electronic medical records vector models with knowledge graphs to improve hospitalization prediction","publication_year":2022,"publication_date":"2022-02-22","ids":{"openalex":"https://openalex.org/W4213011888","doi":"https://doi.org/10.1186/s13326-022-00261-9","pmid":"https://pubmed.ncbi.nlm.nih.gov/35193692"},"language":"en","primary_location":{"id":"doi:10.1186/s13326-022-00261-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-022-00261-9","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-022-00261-9","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"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":"Journal of Biomedical Semantics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj","pubmed"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-022-00261-9","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5007976719","display_name":"Rapha\u00ebl Gazzotti","orcid":"https://orcid.org/0000-0002-5618-9776"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Rapha\u00ebl Gazzotti","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d'Azur, Inria, CNRS, I3S, 2004, route des Lucioles, Sophia-Antipolis, BP 93 06902, France. gazzotti.raphael@gmail.com","Web-Instrumented Man-Machine Interactions, Communities and Semantics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, Inria, CNRS, I3S, 2004, route des Lucioles, Sophia-Antipolis, BP 93 06902, France. gazzotti.raphael@gmail.com","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Web-Instrumented Man-Machine Interactions, Communities and Semantics","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018628204","display_name":"Catherine Faron Zucker","orcid":"https://orcid.org/0000-0001-5959-5561"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Catherine Faron","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d'Azur, Inria, CNRS, I3S, 2004, route des Lucioles, Sophia-Antipolis, BP 93 06902, France","Web-Instrumented Man-Machine Interactions, Communities and Semantics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, Inria, CNRS, I3S, 2004, route des Lucioles, Sophia-Antipolis, BP 93 06902, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Web-Instrumented Man-Machine Interactions, Communities and Semantics","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044946197","display_name":"Fabien Gandon","orcid":"https://orcid.org/0000-0003-0543-1232"},"institutions":[{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Fabien Gandon","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d'Azur, Inria, CNRS, I3S, 2004, route des Lucioles, Sophia-Antipolis, BP 93 06902, France","Web-Instrumented Man-Machine Interactions, Communities and Semantics"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, Inria, CNRS, I3S, 2004, route des Lucioles, Sophia-Antipolis, BP 93 06902, France","institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Web-Instrumented Man-Machine Interactions, Communities and Semantics","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086714042","display_name":"Virginie Lacroix-Hugues","orcid":null},"institutions":[{"id":"https://openalex.org/I4210094754","display_name":"Animal, Sant\u00e9, Territoires, Risques et Ecosyst\u00e8mes","ror":"https://ror.org/006fhby04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I131077856","https://openalex.org/I19894307","https://openalex.org/I4210088668","https://openalex.org/I4210094754","https://openalex.org/I4210147367"]},{"id":"https://openalex.org/I4210117840","display_name":"Institut de Biologie Valrose","ror":"https://ror.org/03bnma344","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I201841394","https://openalex.org/I4210096427","https://openalex.org/I4210117840"]},{"id":"https://openalex.org/I4400600439","display_name":"Risques, Epid\u00e9miologie, Territoires, Informations, Education et Sant\u00e9","ror":"https://ror.org/04kezy879","country_code":null,"type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4400600439"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Virginie Lacroix-Hugues","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d'Azur, RETINES, D\u00e9partement de M\u00e9decine G\u00e9n\u00e9rale, 28, Avenue de Valombrose, Nice, 06107, France","Risques, Epid\u00e9miologie, Territoire, INformations, Education et Sant\u00e9"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, RETINES, D\u00e9partement de M\u00e9decine G\u00e9n\u00e9rale, 28, Avenue de Valombrose, Nice, 06107, France","institution_ids":["https://openalex.org/I4210117840"]},{"raw_affiliation_string":"Risques, Epid\u00e9miologie, Territoire, INformations, Education et Sant\u00e9","institution_ids":["https://openalex.org/I4210094754","https://openalex.org/I4400600439"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5042819445","display_name":"David Darmon","orcid":"https://orcid.org/0000-0002-4425-4163"},"institutions":[{"id":"https://openalex.org/I4210094754","display_name":"Animal, Sant\u00e9, Territoires, Risques et Ecosyst\u00e8mes","ror":"https://ror.org/006fhby04","country_code":"FR","type":"facility","lineage":["https://openalex.org/I131077856","https://openalex.org/I19894307","https://openalex.org/I4210088668","https://openalex.org/I4210094754","https://openalex.org/I4210147367"]},{"id":"https://openalex.org/I4210117840","display_name":"Institut de Biologie Valrose","ror":"https://ror.org/03bnma344","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I201841394","https://openalex.org/I4210096427","https://openalex.org/I4210117840"]},{"id":"https://openalex.org/I4400600439","display_name":"Risques, Epid\u00e9miologie, Territoires, Informations, Education et Sant\u00e9","ror":"https://ror.org/04kezy879","country_code":null,"type":"facility","lineage":["https://openalex.org/I201841394","https://openalex.org/I4400600439"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"David Darmon","raw_affiliation_strings":["Universit\u00e9 C\u00f4te d'Azur, RETINES, D\u00e9partement de M\u00e9decine G\u00e9n\u00e9rale, 28, Avenue de Valombrose, Nice, 06107, France","Risques, Epid\u00e9miologie, Territoire, INformations, Education et Sant\u00e9"],"raw_orcid":"https://orcid.org/0000-0002-4425-4163","affiliations":[{"raw_affiliation_string":"Universit\u00e9 C\u00f4te d'Azur, RETINES, D\u00e9partement de M\u00e9decine G\u00e9n\u00e9rale, 28, Avenue de Valombrose, Nice, 06107, France","institution_ids":["https://openalex.org/I4210117840"]},{"raw_affiliation_string":"Risques, Epid\u00e9miologie, Territoire, INformations, Education et Sant\u00e9","institution_ids":["https://openalex.org/I4210094754","https://openalex.org/I4400600439"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5007976719"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283"],"apc_list":{"value":1340,"currency":"USD","value_usd":1340},"apc_paid":{"value":1290,"currency":"EUR","value_usd":1391},"fwci":0.4651,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.67160155,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":96},"biblio":{"volume":"13","issue":"1","first_page":"6","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9796000123023987,"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":0.9796000123023987,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.0044999998062849045,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10350","display_name":"Electronic Health Records Systems","score":0.002400000113993883,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8098649382591248},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6400294303894043},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5651602149009705},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5430987477302551},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5425442457199097},{"id":"https://openalex.org/keywords/standardization","display_name":"Standardization","score":0.5072633624076843},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.4691675305366516},{"id":"https://openalex.org/keywords/conceptual-graph","display_name":"Conceptual graph","score":0.45742711424827576},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.4511796236038208},{"id":"https://openalex.org/keywords/knowledge-representation-and-reasoning","display_name":"Knowledge representation and reasoning","score":0.44058725237846375},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.43033555150032043},{"id":"https://openalex.org/keywords/knowledge-extraction","display_name":"Knowledge extraction","score":0.41120946407318115},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.37691381573677063}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8098649382591248},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6400294303894043},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5651602149009705},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5430987477302551},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5425442457199097},{"id":"https://openalex.org/C188087704","wikidata":"https://www.wikidata.org/wiki/Q369577","display_name":"Standardization","level":2,"score":0.5072633624076843},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.4691675305366516},{"id":"https://openalex.org/C234837","wikidata":"https://www.wikidata.org/wiki/Q1420493","display_name":"Conceptual graph","level":3,"score":0.45742711424827576},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.4511796236038208},{"id":"https://openalex.org/C161301231","wikidata":"https://www.wikidata.org/wiki/Q3478658","display_name":"Knowledge representation and reasoning","level":2,"score":0.44058725237846375},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.43033555150032043},{"id":"https://openalex.org/C120567893","wikidata":"https://www.wikidata.org/wiki/Q1582085","display_name":"Knowledge extraction","level":2,"score":0.41120946407318115},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.37691381573677063},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001185","descriptor_name":"Artificial Intelligence","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006760","descriptor_name":"Hospitalization","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":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057286","descriptor_name":"Electronic Health Records","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":5,"locations":[{"id":"doi:10.1186/s13326-022-00261-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-022-00261-9","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-022-00261-9","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"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":"Journal of Biomedical Semantics","raw_type":"journal-article"},{"id":"pmid:35193692","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/35193692","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 biomedical semantics","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:8861628","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/8861628","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Biomed Semantics","raw_type":"Text"},{"id":"pmh:oai:HAL:hal-03502001v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03502001","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"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":"https://doi.org/10.1186/s13326-022-00261-9","raw_type":"info:eu-repo/semantics/article"},{"id":"pmh:oai:doaj.org/article:4b7f47ebb16f4b4aa09794df77883ece","is_oa":true,"landing_page_url":"https://doaj.org/article/4b7f47ebb16f4b4aa09794df77883ece","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Journal of Biomedical Semantics, Vol 13, Iss 1, Pp 1-20 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1186/s13326-022-00261-9","is_oa":true,"landing_page_url":"https://doi.org/10.1186/s13326-022-00261-9","pdf_url":"https://jbiomedsem.biomedcentral.com/track/pdf/10.1186/s13326-022-00261-9","source":{"id":"https://openalex.org/S172276550","display_name":"Journal of Biomedical Semantics","issn_l":"2041-1480","issn":["2041-1480"],"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":"Journal of Biomedical Semantics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.6899999976158142,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2113015678","display_name":"3IA C\u00f4te d'Azur","funder_award_id":"ANR-19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G2689869783","display_name":"Idex UCA JEDI","funder_award_id":"ANR-15-IDEX-0001","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G4870853853","display_name":null,"funder_award_id":"19-P3IA-0002","funder_id":"https://openalex.org/F4320327946","funder_display_name":"Universit\u00e9 C\u00f4te d\u2019Azur"},{"id":"https://openalex.org/G8347564929","display_name":null,"funder_award_id":"ANR-15-IDEX-00","funder_id":"https://openalex.org/F4320327946","funder_display_name":"Universit\u00e9 C\u00f4te d\u2019Azur"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"},{"id":"https://openalex.org/F4320327946","display_name":"Universit\u00e9 C\u00f4te d\u2019Azur","ror":"https://ror.org/019tgvf94"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4213011888.pdf","grobid_xml":"https://content.openalex.org/works/W4213011888.grobid-xml"},"referenced_works_count":22,"referenced_works":["https://openalex.org/W2019029324","https://openalex.org/W2026810221","https://openalex.org/W2092126505","https://openalex.org/W2120199131","https://openalex.org/W2135046866","https://openalex.org/W2141766660","https://openalex.org/W2142407957","https://openalex.org/W2147880316","https://openalex.org/W2154776925","https://openalex.org/W2250539671","https://openalex.org/W2395172628","https://openalex.org/W2426119782","https://openalex.org/W2557074642","https://openalex.org/W2755052979","https://openalex.org/W2785609738","https://openalex.org/W2804876758","https://openalex.org/W2911964244","https://openalex.org/W2922163622","https://openalex.org/W3121575559","https://openalex.org/W4206192903","https://openalex.org/W4301861531","https://openalex.org/W6660058454"],"related_works":["https://openalex.org/W2357854711","https://openalex.org/W2209694036","https://openalex.org/W4243448361","https://openalex.org/W2051700896","https://openalex.org/W1552255772","https://openalex.org/W2099524023","https://openalex.org/W2111524952","https://openalex.org/W2054759342","https://openalex.org/W4234690372","https://openalex.org/W4239551281"],"abstract_inverted_index":{"BACKGROUND:":[0],"Artificial":[1],"intelligence":[2],"methods":[3],"applied":[4],"to":[5,13,82,99,117,159,226,254,266,290,298,303,308],"electronic":[6],"medical":[7,77,260],"records":[8],"(EMRs)":[9],"hold":[10],"the":[11,26,31,51,76,102,108,119,168,173,179,218,227,232,236,247,257,268],"potential":[12],"help":[14],"physicians":[15],"save":[16],"time":[17],"by":[18,59,89,191],"sharpening":[19],"their":[20,39],"analysis":[21],"and":[22,44,64,66,84,107,144,295],"decisions,":[23],"thereby":[24],"improving":[25],"health":[27],"of":[28,104,110,121,133,153,175,221,235,249,259,270,279],"patients.":[29],"On":[30,50],"one":[32],"hand,":[33,53],"machine":[34,90,111],"learning":[35,91,112,143],"algorithms":[36],"have":[37],"proven":[38],"effectiveness":[40],"in":[41,75,217],"extracting":[42],"information":[43,136],"exploiting":[45],"knowledge":[46,54,58,70,105,140,157,215,241,284],"extracted":[47,137,212,281],"from":[48,138,156,163,213,242,282],"data.":[49,311],"other":[52],"graphs":[55,71,106,141,158,216],"capture":[56],"human":[57],"relying":[60],"on":[61,178],"conceptual":[62],"schemas":[63],"formalization":[65],"supporting":[67],"reasoning.":[68],"Leveraging":[69],"that":[72,129,165,183,201],"are":[73],"legion":[74],"field,":[78],"it":[79,251],"is":[80,96,252,289],"possible":[81,253,287],"pre-process":[83],"enrich":[85],"data":[86,94],"representation":[87,132,220,248],"used":[88],"algorithms.":[92,113],"Medical":[93],"standardization":[95],"an":[97,127,150],"opportunity":[98],"jointly":[100],"exploit":[101,309],"richness":[103],"capabilities":[109],"METHODS:":[114],"We":[115,171],"propose":[116],"address":[118],"problem":[120],"hospitalization":[122,206],"prediction":[123,228,258],"for":[124],"patients":[125],"with":[126,135,276],"approach":[128,204],"enriches":[130],"vector":[131,219],"EMRs":[134,222],"different":[139],"before":[142],"predicting.":[145],"In":[146],"addition,":[147],"we":[148],"performed":[149],"automatic":[151],"selection":[152,273],"features":[154,211,280],"resulting":[155],"distinguish":[160],"noisy":[161],"ones":[162],"those":[164],"can":[166],"benefit":[167],"decision":[169],"making.":[170],"report":[172],"results":[174],"our":[176,202],"experiments":[177],"PRIMEGE":[180],"PACA":[181],"database":[182],"contains":[184],"more":[185,292,305],"than":[186],"600,000":[187],"consultations":[188],"carried":[189],"out":[190],"17":[192],"general":[193],"practitioners":[194],"(GPs).":[195],"RESULTS:":[196],"A":[197,286],"statistical":[198],"evaluation":[199],"shows":[200],"proposed":[203],"improves":[205],"prediction.":[207,237],"More":[208],"precisely,":[209],"injecting":[210,240],"cross-domain":[214],"given":[223],"as":[224,300,302],"input":[225],"algorithm":[229],"significantly":[230,255],"increases":[231],"F1":[233],"score":[234],"CONCLUSIONS:":[238],"By":[239],"recognized":[243],"reference":[244],"sources":[245],"into":[246],"EMRs,":[250],"improve":[256],"events.":[261],"Future":[262],"work":[263],"would":[264],"be":[265],"evaluate":[267],"impact":[269],"a":[271,277],"feature":[272],"step":[274],"coupled":[275],"combination":[278],"several":[283],"graphs.":[285],"avenue":[288],"study":[291],"hierarchical":[293],"levels":[294],"properties":[296],"related":[297],"concepts,":[299],"well":[301],"integrate":[304],"semantic":[306],"annotators":[307],"unstructured":[310]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2}],"updated_date":"2026-08-11T07:18:39.950985","created_date":"2025-10-10T00:00:00"}