乐胖代购免代理版

{"id":"https://openalex.org/W2034509673","doi":"https://doi.org/10.1109/bibm.2014.6999214","title":"A visual analysis approach to cohort study of electronic patient records","display_name":"A visual analysis approach to cohort study of electronic patient records","publication_year":2014,"publication_date":"2014-11-01","ids":{"openalex":"https://openalex.org/W2034509673","doi":"https://doi.org/10.1109/bibm.2014.6999214","mag":"2034509673"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999214","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5067864288","display_name":"Chunfu Wang","orcid":"https://orcid.org/0000-0002-7843-3549"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"funder","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chun-Fu Wang","raw_affiliation_strings":["Dept. of Computer Science, University of California at Davis,#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of California at Davis,#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056362617","display_name":"Jianping Kelvin Li","orcid":"https://orcid.org/0000-0002-7702-7450"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"funder","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianping Li","raw_affiliation_strings":["Dept. of Computer Science, University of California at Davis,#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of California at Davis,#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037161857","display_name":"Kwan\u2010Liu Ma","orcid":"https://orcid.org/0000-0001-8086-0366"},"institutions":[{"id":"https://openalex.org/I84218800","display_name":"University of California, Davis","ror":"https://ror.org/05rrcem69","country_code":"US","type":"funder","lineage":["https://openalex.org/I84218800"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kwan-Liu Ma","raw_affiliation_strings":["Dept. of Computer Science, University of California at Davis,#TAB#"],"affiliations":[{"raw_affiliation_string":"Dept. of Computer Science, University of California at Davis,#TAB#","institution_ids":["https://openalex.org/I84218800"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047776698","display_name":"Chih\u2010Wei Huang","orcid":"https://orcid.org/0000-0002-2551-6199"},"institutions":[{"id":"https://openalex.org/I47519274","display_name":"Taipei Medical University","ror":"https://ror.org/05031qk94","country_code":"TW","type":"funder","lineage":["https://openalex.org/I47519274"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Wei Huang","raw_affiliation_strings":["College of Medial Science and Technology, Taipei Medical University"],"affiliations":[{"raw_affiliation_string":"College of Medial Science and Technology, Taipei Medical University","institution_ids":["https://openalex.org/I47519274"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5112623798","display_name":"Yu\u2010Chuan Li","orcid":"https://orcid.org/0000-0001-6497-4232"},"institutions":[{"id":"https://openalex.org/I47519274","display_name":"Taipei Medical University","ror":"https://ror.org/05031qk94","country_code":"TW","type":"funder","lineage":["https://openalex.org/I47519274"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Chuan Li","raw_affiliation_strings":["College of Medial Science and Technology, Taipei Medical University"],"affiliations":[{"raw_affiliation_string":"College of Medial Science and Technology, Taipei Medical University","institution_ids":["https://openalex.org/I47519274"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.551,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":10,"citation_normalized_percentile":{"value":0.790359,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":85,"max":86},"biblio":{"volume":null,"issue":null,"first_page":"521","last_page":"528"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.997,"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":0.997,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9881,"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":0.9853,"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/medical-record","display_name":"Medical record","score":0.6503222},{"id":"https://openalex.org/keywords/electronic-medical-record","display_name":"Electronic medical record","score":0.45692185},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.4166594}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7252347},{"id":"https://openalex.org/C195910791","wikidata":"https://www.wikidata.org/wiki/Q1324077","display_name":"Medical record","level":2,"score":0.6503222},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.55895364},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.49521008},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.4621867},{"id":"https://openalex.org/C3018060332","wikidata":"https://www.wikidata.org/wiki/Q10871684","display_name":"Electronic medical record","level":2,"score":0.45692185},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.43594044},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.43465745},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.4166594},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3662851},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.36528575},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.26268074},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.09890962},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.08488202},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm.2014.6999214","pdf_url":null,"source":{"id":"https://openalex.org/S4363607735","display_name":"2021 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":29,"referenced_works":["https://openalex.org/W1932144848","https://openalex.org/W1988711344","https://openalex.org/W1988761558","https://openalex.org/W2004910511","https://openalex.org/W2018304927","https://openalex.org/W2030391899","https://openalex.org/W2064962717","https://openalex.org/W2069711147","https://openalex.org/W2095509263","https://openalex.org/W2109076134","https://openalex.org/W2111495777","https://openalex.org/W2111736285","https://openalex.org/W2113081107","https://openalex.org/W2115108438","https://openalex.org/W2122060742","https://openalex.org/W2133013573","https://openalex.org/W2139817070","https://openalex.org/W2142349824","https://openalex.org/W2149472792","https://openalex.org/W2150085383","https://openalex.org/W2155843307","https://openalex.org/W2167797188","https://openalex.org/W2171826173","https://openalex.org/W2324042828","https://openalex.org/W2327525319","https://openalex.org/W2331744559","https://openalex.org/W2618814260","https://openalex.org/W4249894953","https://openalex.org/W4251304284"],"related_works":["https://openalex.org/W2923661510","https://openalex.org/W2377559894","https://openalex.org/W2362367986","https://openalex.org/W2205837543","https://openalex.org/W2172127625","https://openalex.org/W2158002945","https://openalex.org/W2157178603","https://openalex.org/W2155831461","https://openalex.org/W2105200106","https://openalex.org/W2016648600"],"abstract_inverted_index":{"The":[0,34,69,81],"ability":[1],"to":[2,13,99],"analyze":[3],"and":[4,17,38,103,110],"assimilate":[5],"Electronic":[6],"Medical":[7],"Records":[8],"(EMR)":[9],"has":[10],"great":[11],"value":[12],"physicians,":[14],"clinical":[15],"researchers,":[16],"medical":[18],"policy":[19],"makers.":[20],"Current":[21],"EMR":[22],"systems":[23],"do":[24],"not":[25],"provide":[26],"adequate":[27],"support":[28],"for":[29,48,64],"fully":[30],"exploiting":[31],"the":[32,54,79,90],"data.":[33,55],"growing":[35],"size,":[36],"complexity,":[37],"accessibility":[39],"of":[40,46,51,67,71,78,119],"EMRs":[41,118],"demand":[42],"a":[43,100],"new":[44],"set":[45],"tools":[47],"extracting":[49],"knowledge":[50],"interest":[52],"from":[53],"This":[56],"paper":[57],"presents":[58],"an":[59],"interactive":[60],"visual":[61,76],"mining":[62],"solution":[63],"cohort":[65],"study":[66],"EMRs.":[68,80],"basis":[70],"our":[72,112],"design":[73,113],"is":[74],"multidimensional,":[75],"aggregation":[77],"resulting":[82],"visualizations":[83],"can":[84],"help":[85,104],"uncover":[86],"hidden":[87],"structures":[88],"in":[89],"data,":[91],"compare":[92],"different":[93],"patient":[94],"groups,":[95],"determine":[96],"critical":[97],"factors":[98],"particular":[101],"disease,":[102],"direct":[105],"further":[106],"analyses.":[107],"We":[108],"introduce":[109],"demonstrate":[111],"with":[114],"case":[115],"studies":[116],"using":[117],"14,567":[120],"Chronic":[121],"Kidney":[122],"Disease":[123],"(CKD)":[124],"patients.":[125]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2034509673","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":2},{"year":2016,"cited_by_count":2}],"updated_date":"2025-04-16T14:29:53.440916","created_date":"2016-06-24"}