{"id":"https://openalex.org/W4286561298","doi":"https://doi.org/10.3233/web-220018","title":"A data cube modeling method for longitudinal cohort study","display_name":"A data cube modeling method for longitudinal cohort study","publication_year":2022,"publication_date":"2022-07-22","ids":{"openalex":"https://openalex.org/W4286561298","doi":"https://doi.org/10.3233/web-220018"},"language":"en","primary_location":{"id":"doi:10.3233/web-220018","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-220018","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-article"},"type":"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/A5100353783","display_name":"Xin Li","orcid":"https://orcid.org/0000-0002-0144-9489"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xin Li","raw_affiliation_strings":["AI Research Institute, iFLYTEK Co., LTD, Hefei 230088, China","School of Information Science and Technology, University of Science and Technology of China, Hefei 230022, China","AI Research Institute, iFLYTEK Co., LTD, Hefei 230088, China; School of Information Science and Technology, University of Science and Technology of China, Hefei 230022, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Institute, iFLYTEK Co., LTD, Hefei 230088, China","institution_ids":[]},{"raw_affiliation_string":"School of Information Science and Technology, University of Science and Technology of China, Hefei 230022, China","institution_ids":["https://openalex.org/I126520041"]},{"raw_affiliation_string":"AI Research Institute, iFLYTEK Co., LTD, Hefei 230088, China; School of Information Science and Technology, University of Science and Technology of China, Hefei 230022, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072574253","display_name":"Huadong Liang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huadong Liang","raw_affiliation_strings":["AI Research Institute, iFLYTEK Co., LTD, Hefei 230088, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"AI Research Institute, iFLYTEK Co., LTD, Hefei 230088, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412815","display_name":"Lin Li","orcid":"https://orcid.org/0000-0001-7553-6916"},"institutions":[{"id":"https://openalex.org/I196699116","display_name":"Wuhan University of Technology","ror":"https://ror.org/03fe7t173","country_code":"CN","type":"education","lineage":["https://openalex.org/I196699116"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lin Li","raw_affiliation_strings":["School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Artificial Intelligence, Wuhan University of Technology, Wuhan 430070, China","institution_ids":["https://openalex.org/I196699116"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5100353783"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.09078361,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"20","issue":"3","first_page":"225","last_page":"242"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T14393","display_name":"Health, Environment, Cognitive Aging","score":0.996399998664856,"subfield":{"id":"https://openalex.org/subfields/2307","display_name":"Health, Toxicology and Mutagenesis"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13522","display_name":"Cardiovascular Health and Risk Factors","score":0.9868000149726868,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T10866","display_name":"Nutritional Studies and Diet","score":0.9556999802589417,"subfield":{"id":"https://openalex.org/subfields/2739","display_name":"Public Health, Environmental and Occupational Health"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6141533255577087},{"id":"https://openalex.org/keywords/cohort","display_name":"Cohort","score":0.6028650999069214},{"id":"https://openalex.org/keywords/longitudinal-study","display_name":"Longitudinal study","score":0.47784730792045593},{"id":"https://openalex.org/keywords/data-quality","display_name":"Data quality","score":0.4218023121356964},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3794257938861847},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.3708217442035675},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.3101087212562561},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.17050126194953918},{"id":"https://openalex.org/keywords/operations-management","display_name":"Operations management","score":0.1588253378868103},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.15836450457572937}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6141533255577087},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.6028650999069214},{"id":"https://openalex.org/C2777895361","wikidata":"https://www.wikidata.org/wiki/Q1758614","display_name":"Longitudinal study","level":2,"score":0.47784730792045593},{"id":"https://openalex.org/C24756922","wikidata":"https://www.wikidata.org/wiki/Q1757694","display_name":"Data quality","level":3,"score":0.4218023121356964},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3794257938861847},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.3708217442035675},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.3101087212562561},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.17050126194953918},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.1588253378868103},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.15836450457572937},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/web-220018","is_oa":false,"landing_page_url":"https://doi.org/10.3233/web-220018","pdf_url":null,"source":{"id":"https://openalex.org/S4210183871","display_name":"Web Intelligence","issn_l":"2405-6456","issn":["2405-6456","2405-6464"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Web Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":12,"referenced_works":["https://openalex.org/W2032752029","https://openalex.org/W2105079646","https://openalex.org/W2118074573","https://openalex.org/W2171087031","https://openalex.org/W2354773771","https://openalex.org/W2749044583","https://openalex.org/W2792515696","https://openalex.org/W2889286927","https://openalex.org/W2895486342","https://openalex.org/W2980069188","https://openalex.org/W3032464132","https://openalex.org/W3043954027"],"related_works":["https://openalex.org/W2348097614","https://openalex.org/W2347219288","https://openalex.org/W2354822586","https://openalex.org/W2366221835","https://openalex.org/W3149424243","https://openalex.org/W4247880953","https://openalex.org/W2137479650","https://openalex.org/W2358841807","https://openalex.org/W1972556217","https://openalex.org/W4233433221"],"abstract_inverted_index":{"Longitudinal":[0],"cohort":[1,70,79,102,114,131,163,215,262,275,290,296],"study":[2,80,132,291],"is":[3,64,138],"an":[4],"effective":[5],"way":[6],"to":[7,98,106,140,206,255,283],"probe":[8],"into":[9],"the":[10,23,87,122,155,158,161,167,173,183,185,207,213,257,267,278],"risk":[11],"factors":[12],"of":[13,62,68,112,160,175,246,260,269,288],"disease":[14,31],"and":[15,33,36,44,74,86,93,110,116,178,196,209,249,265,298],"evaluate":[16],"intervention":[17],"measures.":[18],"It":[19,251],"has":[20,37],"gradually":[21],"become":[22],"mainstream":[24],"research":[25],"method":[26,190],"in":[27,40,77,129],"precision":[28],"medicine,":[29],"chronic":[30,56],"management":[32,164,263],"evidence-based":[34],"education,":[35],"been":[38],"deployed":[39],"many":[41],"National":[42],"Science":[43],"Technology":[45],"Major":[46],"Projects,":[47],"which":[48,229],"established":[49],"its":[50],"specialized":[51,58],"cohorts":[52],"for":[53,274],"natural":[54],"populations,":[55],"diseases,":[57],"diseases.":[59],"The":[60,72],"quality":[61],"data":[63,88,103,119,128,143,179,188,193,221,232,271,292,294,299],"a":[65,107,220,240,270,285],"make-or-break":[66],"factor":[67],"longitudinal":[69,78,101,113,130,162,214,261,289],"study.":[71,276],"subjects":[73,177],"test":[75],"tasks":[76],"have":[81,133],"dynamic":[82],"changes":[83],"over":[84],"time,":[85,280],"generated":[89],"involves":[90],"multiple":[91],"modalities":[92],"scales.":[94],"Therefore,":[95],"exploring":[96],"how":[97],"model":[99,223,238],"business-oriented":[100],"will":[104],"contribute":[105],"unified":[108,147,286],"understanding":[109,287],"governance":[111],"data,":[115],"ultimately":[117],"improve":[118],"quality.":[120],"On":[121],"one":[123],"hand,":[124,157],"because":[125],"different":[126,134],"modal":[127,180],"dimensional":[135,148,152],"indicators,":[136],"it":[137,281],"difficult":[139],"carry":[141],"out":[142],"modeling":[144,189],"based":[145,191,224],"on":[146,154,172,192,225],"indicators":[149,195],"through":[150],"simple":[151],"splicing;":[153],"other":[156],"needs":[159],"scenario":[165,264],"determine":[166],"calculations":[168],"should":[169],"be":[170,203,253],"focused":[171],"granularity":[174],"individual":[176],"types.":[181],"Considering":[182],"above,":[184],"traditional":[186],"multi-dimensional":[187],"dimension":[194],"their":[197],"measurements":[198],"as":[199,234],"basic":[200,235],"elements":[201],"couldn\u2019t":[202],"fully":[204],"adapted":[205],"counting":[208],"statistical":[210],"requirements":[211,259],"under":[212],"scenarios.":[216],"This":[217,237],"paper":[218],"proposes":[219],"cube":[222,241],"MOLAP":[226],"named":[227],"SubTaP,":[228],"take":[230],"multimodal":[231],"objects":[233],"granularity.":[236],"constructs":[239],"structure":[242],"with":[243],"three":[244],"dimensions":[245],"Subject,":[247],"Task":[248],"Phase.":[250],"can":[252],"applied":[254],"meet":[256],"visualization":[258],"guide":[266],"construction":[268],"information":[272],"platform":[273],"At":[277],"same":[279],"helps":[282],"build":[284],"among":[293],"generators,":[295],"maintainers,":[297],"users.":[300]},"counts_by_year":[],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}