{"id":"https://openalex.org/W2130955800","doi":"https://doi.org/10.1136/amiajnl-2014-002927","title":"Exploration of patterns predicting renal damage in patients with diabetes type II using a visual temporal analysis laboratory","display_name":"Exploration of patterns predicting renal damage in patients with diabetes type II using a visual temporal analysis laboratory","publication_year":2014,"publication_date":"2014-10-28","ids":{"openalex":"https://openalex.org/W2130955800","doi":"https://doi.org/10.1136/amiajnl-2014-002927","mag":"2130955800","pmid":"https://pubmed.ncbi.nlm.nih.gov/25352568"},"language":"en","primary_location":{"id":"doi:10.1136/amiajnl-2014-002927","is_oa":true,"landing_page_url":"https://doi.org/10.1136/amiajnl-2014-002927","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/2/275/34145462/amiajnl-2014-002927.pdf","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":"bronze","oa_url":"https://academic.oup.com/jamia/article-pdf/22/2/275/34145462/amiajnl-2014-002927.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5111317049","display_name":"Denis Klimov","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":true,"raw_author_name":"Denis Klimov","raw_affiliation_strings":["Department of Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026521652","display_name":"Alexander Shknevsky","orcid":null},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Alexander Shknevsky","raw_affiliation_strings":["Department of Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073893701","display_name":"Yuval Sha\u1e25ar","orcid":"https://orcid.org/0000-0003-0328-2333"},"institutions":[{"id":"https://openalex.org/I124227911","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982","country_code":"IL","type":"education","lineage":["https://openalex.org/I124227911"]}],"countries":["IL"],"is_corresponding":false,"raw_author_name":"Yuval Shahar","raw_affiliation_strings":["Department of Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Information Systems Engineering, Faculty of Engineering Sciences, Ben-Gurion University of the Negev, Beer-Sheva, Israel","institution_ids":["https://openalex.org/I124227911"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5111317049"],"corresponding_institution_ids":["https://openalex.org/I124227911"],"apc_list":{"value":3967,"currency":"USD","value_usd":3967},"apc_paid":null,"fwci":3.1539,"has_fulltext":false,"cited_by_count":37,"citation_normalized_percentile":{"value":0.93749122,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"22","issue":"2","first_page":"275","last_page":"289"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.6288999915122986,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10799","display_name":"Data Visualization and Analytics","score":0.6288999915122986,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.10620000213384628,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T12536","display_name":"Topological and Geometric Data Analysis","score":0.06289999932050705,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/albuminuria","display_name":"Albuminuria","score":0.8206205368041992},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6691866517066956},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.5215230584144592},{"id":"https://openalex.org/keywords/abstraction","display_name":"Abstraction","score":0.4544140100479126},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.42171090841293335},{"id":"https://openalex.org/keywords/macro","display_name":"Macro","score":0.4204167127609253},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3503093719482422},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3401627540588379},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.3138141334056854},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3122831881046295},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.08617660403251648}],"concepts":[{"id":"https://openalex.org/C2776174234","wikidata":"https://www.wikidata.org/wiki/Q974792","display_name":"Albuminuria","level":3,"score":0.8206205368041992},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6691866517066956},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.5215230584144592},{"id":"https://openalex.org/C124304363","wikidata":"https://www.wikidata.org/wiki/Q673661","display_name":"Abstraction","level":2,"score":0.4544140100479126},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.42171090841293335},{"id":"https://openalex.org/C166955791","wikidata":"https://www.wikidata.org/wiki/Q629579","display_name":"Macro","level":2,"score":0.4204167127609253},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3503093719482422},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3401627540588379},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.3138141334056854},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3122831881046295},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.08617660403251648},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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}],"mesh":[{"descriptor_ui":"D000419","descriptor_name":"Albuminuria","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D000419","descriptor_name":"Albuminuria","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D000419","descriptor_name":"Albuminuria","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D000419","descriptor_name":"Albuminuria","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D000419","descriptor_name":"Albuminuria","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D000419","descriptor_name":"Albuminuria","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D003404","descriptor_name":"Creatinine","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003404","descriptor_name":"Creatinine","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003404","descriptor_name":"Creatinine","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003404","descriptor_name":"Creatinine","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003404","descriptor_name":"Creatinine","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003404","descriptor_name":"Creatinine","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003626","descriptor_name":"Data Display","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003626","descriptor_name":"Data Display","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003626","descriptor_name":"Data Display","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003626","descriptor_name":"Data Display","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003626","descriptor_name":"Data Display","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003626","descriptor_name":"Data Display","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D003924","descriptor_name":"Diabetes Mellitus, Type 2","qualifier_ui":"Q000150","qualifier_name":"complications","is_major_topic":false},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D003928","descriptor_name":"Diabetic Nephropathies","qualifier_ui":"Q000209","qualifier_name":"etiology","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D006442","descriptor_name":"Glycated Hemoglobin","qualifier_ui":"Q000032","qualifier_name":"analysis","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","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":"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":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D012307","descriptor_name":"Risk Factors","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D014584","descriptor_name":"User-Computer Interface","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057225","descriptor_name":"Data Mining","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":3,"locations":[{"id":"doi:10.1136/amiajnl-2014-002927","is_oa":true,"landing_page_url":"https://doi.org/10.1136/amiajnl-2014-002927","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/2/275/34145462/amiajnl-2014-002927.pdf","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:25352568","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/25352568","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:11749123","is_oa":true,"landing_page_url":"https://www.ncbi.nlm.nih.gov/pmc/articles/11749123","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":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":"doi:10.1136/amiajnl-2014-002927","is_oa":true,"landing_page_url":"https://doi.org/10.1136/amiajnl-2014-002927","pdf_url":"https://academic.oup.com/jamia/article-pdf/22/2/275/34145462/amiajnl-2014-002927.pdf","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"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.44999998807907104}],"awards":[],"funders":[{"id":"https://openalex.org/F4320323051","display_name":"Ben-Gurion University of the Negev","ror":"https://ror.org/05tkyf982"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W18057524","https://openalex.org/W147140525","https://openalex.org/W203305527","https://openalex.org/W1506965148","https://openalex.org/W1517299447","https://openalex.org/W1576209423","https://openalex.org/W1647575975","https://openalex.org/W1964204142","https://openalex.org/W1967931674","https://openalex.org/W1968446955","https://openalex.org/W1988442285","https://openalex.org/W1989037929","https://openalex.org/W1995933144","https://openalex.org/W2012648967","https://openalex.org/W2014577670","https://openalex.org/W2016449808","https://openalex.org/W2028942381","https://openalex.org/W2032300448","https://openalex.org/W2032950904","https://openalex.org/W2036859301","https://openalex.org/W2049038415","https://openalex.org/W2052233462","https://openalex.org/W2055433197","https://openalex.org/W2056155546","https://openalex.org/W2058745787","https://openalex.org/W2080483011","https://openalex.org/W2082285428","https://openalex.org/W2093851908","https://openalex.org/W2096164952","https://openalex.org/W2109076134","https://openalex.org/W2113081107","https://openalex.org/W2117871219","https://openalex.org/W2118014460","https://openalex.org/W2122060742","https://openalex.org/W2122874925","https://openalex.org/W2123105932","https://openalex.org/W2123547897","https://openalex.org/W2131365513","https://openalex.org/W2138199375","https://openalex.org/W2138399673","https://openalex.org/W2139758155","https://openalex.org/W2159486568","https://openalex.org/W2161484642","https://openalex.org/W2171826173","https://openalex.org/W2300288816","https://openalex.org/W2382547839","https://openalex.org/W2527276559","https://openalex.org/W2585748556","https://openalex.org/W4235526601","https://openalex.org/W6600758339","https://openalex.org/W6605893010","https://openalex.org/W6608298399","https://openalex.org/W6630801235","https://openalex.org/W6636992049","https://openalex.org/W6670919699","https://openalex.org/W6680388587","https://openalex.org/W6685210674","https://openalex.org/W6709992568"],"related_works":["https://openalex.org/W2371472072","https://openalex.org/W148023125","https://openalex.org/W2131816401","https://openalex.org/W2030816003","https://openalex.org/W2399799733","https://openalex.org/W2090232028","https://openalex.org/W2939188121","https://openalex.org/W4205601867","https://openalex.org/W2796100005","https://openalex.org/W2274265502"],"abstract_inverted_index":{"OBJECTIVE:":[0],"To":[1],"analyze":[2],"the":[3,19,32,35,39,91,146,154,171,181,241,251],"longitudinal":[4,182,273],"data":[5,60,81,92,139],"of":[6,31,34,41,78,83,112,156,184,209,244,254,269,272,278],"multiple":[7],"patients":[8,46,187],"and":[9,17,82,99,117,165,167,176,217,229,247,286],"to":[10,69,125,170,195,222],"discover":[11],"new":[12,279],"temporal":[13,59,119],"knowledge,":[14],"we":[15,28],"designed":[16],"developed":[18],"Visual":[20],"Temporal":[21],"Analysis":[22],"Laboratory":[23],"(ViTA-Lab).":[24],"In":[25],"this":[26],"study,":[27],"demonstrate":[29,150],"several":[30],"capabilities":[33],"ViTA-Lab":[36,55,201,258],"framework":[37,56,259],"through":[38,90,153,281],"exploration":[40,155],"renal-damage":[42],"risk":[43,157,232],"factors":[44,158],"in":[45,71,86,133,180,240,250],"with":[47,63,160,188,226],"diabetes":[48,189],"type":[49,190],"II.":[50],"MATERIALS":[51],"AND":[52],"METHODS:":[53],"The":[54,121,199,231,257],"combines":[57],"data-driven":[58],"mining":[61,93],"techniques,":[62],"interactive,":[64],"query-driven,":[65],"visual":[66],"analytical":[67],"capabilities,":[68],"support,":[70],"an":[72,75],"integrated":[73],"fashion,":[74],"iterative":[76,200],"investigation":[77],"time-oriented":[79],"clinical":[80,113,274],"patterns":[84],"discovered":[85,89],"them.":[87],"Patterns":[88],"mode":[94],"can":[95,260],"be":[96,223],"explored":[97],"visually,":[98],"vice":[100],"versa.":[101],"Both":[102],"analysis":[103,202],"modes":[104],"are":[105],"supported":[106],"by":[107],"a":[108,127,134,264],"rich":[109],"underlying":[110],"ontology":[111],"concepts,":[114,179],"their":[115,118,168,218],"relations,":[116],"properties.":[120],"knowledge":[122,280],"enables":[123],"us":[124],"apply":[126],"temporal-abstraction":[128],"pre-processing":[129],"phase":[130],"that":[131],"abstracts":[132],"context-sensitive":[135],"manner":[136],"raw":[137],"time-stamped":[138],"into":[140],"interval-based":[141],"clinically":[142],"meaningful":[143],"interpretations,":[144],"increasing":[145],"results'":[147],"significance.":[148],"We":[149],"our":[151],"approach":[152],"associated":[159,225],"future":[161,227],"renal":[162],"damage":[163],"(micro-albuminuria":[164],"macro-albuminuria)":[166],"relationship":[169],"hemoglobin":[172],"A1C":[173],"(HbA1C":[174],")":[175],"creatinine":[177,215],"level":[178],"records":[183],"22":[185],"000":[186],"II":[191],"followed":[192],"for":[193,238,248,267,276],"up":[194],"5":[196],"years.":[197],"RESULTS:":[198],"process":[203],"was":[204],"highly":[205],"feasible.":[206],"Higher":[207],"ranges":[208],"either":[210],"normal":[211,214,245],"albuminuria":[212],"or":[213],"values":[216],"combination":[219],"were":[220],"shown":[221],"significantly":[224],"micro-albuminuria":[228],"macro-albuminuria.":[230],"increased":[233],"given":[234],"high":[235],"HbA1C":[236],"levels":[237],"women":[239],"lower":[242],"range":[243,253],"albuminuria,":[246],"men":[249],"higher":[252],"albuminuria.":[255],"CONCLUSIONS:":[256],"potentially":[261],"serve":[262],"as":[263],"virtual":[265],"laboratory":[266],"investigations":[268],"large":[270],"masses":[271],"databases,":[275],"discovery":[277],"interactive":[282],"exploration,":[283],"clustering,":[284],"classification,":[285],"prediction.":[287]},"counts_by_year":[{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":7},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":3}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}