{"id":"https://openalex.org/W4376872641","doi":"https://doi.org/10.1007/s10916-023-01951-2","title":"From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights","display_name":"From Data to Wisdom: Biomedical Knowledge Graphs for Real-World Data Insights","publication_year":2023,"publication_date":"2023-05-17","ids":{"openalex":"https://openalex.org/W4376872641","doi":"https://doi.org/10.1007/s10916-023-01951-2","pmid":"https://pubmed.ncbi.nlm.nih.gov/37195430"},"language":"en","primary_location":{"id":"doi:10.1007/s10916-023-01951-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-023-01951-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-023-01951-2.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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 Medical Systems","raw_type":"journal-article"},"type":"letter","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"hybrid","oa_url":"https://link.springer.com/content/pdf/10.1007/s10916-023-01951-2.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5072967500","display_name":"Katrin H\u00e4nsel","orcid":"https://orcid.org/0000-0003-2407-8884"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Katrin H\u00e4nsel","raw_affiliation_strings":["Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065436868","display_name":"Sarah Dudgeon","orcid":"https://orcid.org/0000-0001-9073-1293"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sarah N. Dudgeon","raw_affiliation_strings":["Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110209950","display_name":"Kei\u2010Hoi Cheung","orcid":null},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kei-Hoi Cheung","raw_affiliation_strings":["Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA","Section of Biomedical Informatics, Department of Emergency Medicine, Yale School of Medicine, 55 Park Street, PS 210, New Haven, CT, 06510, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Section of Biomedical Informatics, Department of Emergency Medicine, Yale School of Medicine, 55 Park Street, PS 210, New Haven, CT, 06510, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043329620","display_name":"Thomas J S Durant","orcid":"https://orcid.org/0000-0003-1107-8148"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Thomas J. S. Durant","raw_affiliation_strings":["Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015305880","display_name":"Wade L. Schulz","orcid":"https://orcid.org/0000-0002-2048-4028"},"institutions":[{"id":"https://openalex.org/I32971472","display_name":"Yale University","ror":"https://ror.org/03v76x132","country_code":"US","type":"education","lineage":["https://openalex.org/I32971472"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Wade L. Schulz","raw_affiliation_strings":["Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. wade.schulz@yale.edu","Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA. wade.schulz@yale.edu","Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA. wade.schulz@yale.edu","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Laboratory Medicine, Yale School of Medicine, New Haven, CT, USA. wade.schulz@yale.edu","institution_ids":["https://openalex.org/I32971472"]},{"raw_affiliation_string":"Department of Biostatistics, Yale School of Public Health, New Haven, CT, USA","institution_ids":["https://openalex.org/I32971472"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5072967500"],"corresponding_institution_ids":["https://openalex.org/I32971472"],"apc_list":{"value":3390,"currency":"EUR","value_usd":4390},"apc_paid":{"value":3390,"currency":"EUR","value_usd":4390},"fwci":3.2912,"has_fulltext":true,"cited_by_count":20,"citation_normalized_percentile":{"value":0.93520296,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":100},"biblio":{"volume":"47","issue":"1","first_page":"65","last_page":"65"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973000288009644,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.9973000288009644,"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/T11719","display_name":"Data Quality and Management","score":0.989799976348877,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9811000227928162,"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/knowledge-graph","display_name":"Knowledge graph","score":0.709975004196167},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6970632076263428},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.6909465193748474},{"id":"https://openalex.org/keywords/data-integration","display_name":"Data integration","score":0.5861071944236755},{"id":"https://openalex.org/keywords/health-informatics","display_name":"Health informatics","score":0.5645135045051575},{"id":"https://openalex.org/keywords/health-care","display_name":"Health care","score":0.5253502726554871},{"id":"https://openalex.org/keywords/precision-medicine","display_name":"Precision medicine","score":0.4694760739803314},{"id":"https://openalex.org/keywords/real-world-data","display_name":"Real world data","score":0.4653720557689667},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.46366551518440247},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4404645562171936},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.319183349609375},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.26645365357398987},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1756974160671234},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.12638461589813232}],"concepts":[{"id":"https://openalex.org/C2987255567","wikidata":"https://www.wikidata.org/wiki/Q33002955","display_name":"Knowledge graph","level":2,"score":0.709975004196167},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6970632076263428},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.6909465193748474},{"id":"https://openalex.org/C72634772","wikidata":"https://www.wikidata.org/wiki/Q386824","display_name":"Data integration","level":2,"score":0.5861071944236755},{"id":"https://openalex.org/C145642194","wikidata":"https://www.wikidata.org/wiki/Q870895","display_name":"Health informatics","level":3,"score":0.5645135045051575},{"id":"https://openalex.org/C160735492","wikidata":"https://www.wikidata.org/wiki/Q31207","display_name":"Health care","level":2,"score":0.5253502726554871},{"id":"https://openalex.org/C163763905","wikidata":"https://www.wikidata.org/wiki/Q17075943","display_name":"Precision medicine","level":2,"score":0.4694760739803314},{"id":"https://openalex.org/C3020493868","wikidata":"https://www.wikidata.org/wiki/Q55631277","display_name":"Real world data","level":2,"score":0.4653720557689667},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.46366551518440247},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4404645562171936},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.319183349609375},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.26645365357398987},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1756974160671234},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.12638461589813232},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","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":"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":"D010363","descriptor_name":"Pattern Recognition, Automated","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":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","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":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","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":false},{"descriptor_ui":"D010363","descriptor_name":"Pattern Recognition, Automated","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":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":"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":"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":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D035843","descriptor_name":"Biomedical Research","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D057285","descriptor_name":"Precision Medicine","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1007/s10916-023-01951-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-023-01951-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-023-01951-2.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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 Medical Systems","raw_type":"journal-article"},{"id":"pmid:37195430","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37195430","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 medical systems","raw_type":null},{"id":"pmh:oai:pubmedcentral.nih.gov:10191934","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/10191934","pdf_url":"https://pmc.ncbi.nlm.nih.gov/articles/PMC10191934/pdf/10916_2023_Article_1951.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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"J Med Syst","raw_type":"Text"}],"best_oa_location":{"id":"doi:10.1007/s10916-023-01951-2","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s10916-023-01951-2","pdf_url":"https://link.springer.com/content/pdf/10.1007/s10916-023-01951-2.pdf","source":{"id":"https://openalex.org/S37151855","display_name":"Journal of Medical Systems","issn_l":"0148-5598","issn":["0148-5598","1573-689X"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","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 Medical Systems","raw_type":"journal-article"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","id":"https://metadata.un.org/sdg/17","score":0.4099999964237213}],"awards":[],"funders":[{"id":"https://openalex.org/F4320337338","display_name":"National Heart, Lung, and Blood Institute","ror":"https://ror.org/012pb6c26"}],"has_content":{"pdf":true,"grobid_xml":false},"content_urls":{"pdf":"https://content.openalex.org/works/W4376872641.pdf"},"referenced_works_count":18,"referenced_works":["https://openalex.org/W1164985270","https://openalex.org/W2193241515","https://openalex.org/W2479527281","https://openalex.org/W2769065924","https://openalex.org/W2949311246","https://openalex.org/W2961798429","https://openalex.org/W2962756421","https://openalex.org/W2963224980","https://openalex.org/W2993039130","https://openalex.org/W3011681336","https://openalex.org/W3015964336","https://openalex.org/W3031066919","https://openalex.org/W3033896008","https://openalex.org/W3044641639","https://openalex.org/W3092008332","https://openalex.org/W3195258857","https://openalex.org/W4200481829","https://openalex.org/W4225141898"],"related_works":["https://openalex.org/W4200407670","https://openalex.org/W3037909725","https://openalex.org/W4252478283","https://openalex.org/W4312815657","https://openalex.org/W4323912214","https://openalex.org/W3014749029","https://openalex.org/W4388011470","https://openalex.org/W4280635227","https://openalex.org/W4323838374","https://openalex.org/W4321455280"],"abstract_inverted_index":{"Graph":[0],"data":[1,36,58,86,106],"models":[2,14],"are":[3],"an":[4,96],"emerging":[5],"approach":[6],"to":[7,43,72,83,112],"structure":[8],"clinical":[9,103],"and":[10,29,37,74,104,108,115],"biomedical":[11,51,105],"information.":[12],"These":[13],"offer":[15],"intriguing":[16],"opportunities":[17],"for":[18,102],"novel":[19],"approaches":[20],"in":[21,39,50,87],"healthcare,":[22],"such":[23],"as":[24],"disease":[25],"phenotyping,":[26],"risk":[27],"prediction,":[28],"personalized":[30],"precision":[31,116],"care.":[32],"The":[33],"combination":[34],"of":[35,56,81,98],"information":[38],"a":[40,78,88],"graph":[41,90],"model":[42,91],"create":[44],"knowledge":[45,70,124],"graphs":[46,71],"has":[47,64],"rapidly":[48],"expanded":[49],"research,":[52],"but":[53],"the":[54,60,99,110],"integration":[55,107],"real-world":[57,76],"from":[59,122],"electronic":[61],"health":[62],"record":[63],"been":[65],"limited.":[66],"To":[67],"broadly":[68],"apply":[69],"EHR":[73],"other":[75],"data,":[77],"deeper":[79],"understanding":[80],"how":[82],"represent":[84],"these":[85],"standardized":[89],"is":[92],"needed.":[93],"We":[94],"provide":[95],"overview":[97],"state-of-the-art":[100],"research":[101,118],"summarize":[109],"potential":[111],"accelerate":[113],"healthcare":[114],"medicine":[117],"through":[119],"insight":[120],"generation":[121],"integrated":[123],"graphs.":[125]},"counts_by_year":[{"year":2026,"cited_by_count":5},{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":7}],"updated_date":"2026-06-02T09:04:35.204637","created_date":"2025-10-10T00:00:00"}