{"id":"https://openalex.org/W3202949724","doi":"https://doi.org/10.1109/tvcg.2021.3114840","title":"ThreadStates: State-based Visual Analysis of Disease Progression","display_name":"ThreadStates: State-based Visual Analysis of Disease Progression","publication_year":2021,"publication_date":"2021-09-29","ids":{"openalex":"https://openalex.org/W3202949724","doi":"https://doi.org/10.1109/tvcg.2021.3114840","mag":"3202949724"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2021.3114840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114840","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","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":null,"display_name":"Qianwen Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Qianwen Wang","raw_affiliation_strings":["Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Tali Mazor","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117453","display_name":"Dana-Farber Cancer Institute","ror":"https://ror.org/02jzgtq86","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210117453"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tali Mazor","raw_affiliation_strings":["Dana-Farber Cancer Institute, USA"],"affiliations":[{"raw_affiliation_string":"Dana-Farber Cancer Institute, USA","institution_ids":["https://openalex.org/I4210117453"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Theresa A Harbig","orcid":null},"institutions":[{"id":"https://openalex.org/I8087733","display_name":"University of T\u00fcbingen","ror":"https://ror.org/03a1kwz48","country_code":"DE","type":"education","lineage":["https://openalex.org/I8087733"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Theresa A Harbig","raw_affiliation_strings":["University of T\u00fcbingen, Germany"],"affiliations":[{"raw_affiliation_string":"University of T\u00fcbingen, Germany","institution_ids":["https://openalex.org/I8087733"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Ethan Cerami","orcid":null},"institutions":[{"id":"https://openalex.org/I4210117453","display_name":"Dana-Farber Cancer Institute","ror":"https://ror.org/02jzgtq86","country_code":"US","type":"facility","lineage":["https://openalex.org/I4210117453"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ethan Cerami","raw_affiliation_strings":["Dana-Farber Cancer Institute, USA"],"affiliations":[{"raw_affiliation_string":"Dana-Farber Cancer Institute, USA","institution_ids":["https://openalex.org/I4210117453"]}]},{"author_position":"last","author":{"id":null,"display_name":"Nils Gehlenborg","orcid":null},"institutions":[{"id":"https://openalex.org/I2801851002","display_name":"Harvard University Press","ror":"https://ror.org/006v7bf86","country_code":"US","type":"other","lineage":["https://openalex.org/I136199984","https://openalex.org/I2801851002"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nils Gehlenborg","raw_affiliation_strings":["Harvard University, USA"],"affiliations":[{"raw_affiliation_string":"Harvard University, USA","institution_ids":["https://openalex.org/I2801851002"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I2801851002"],"apc_list":null,"apc_paid":null,"fwci":1.4533,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.84327487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"28","issue":"1","first_page":"238","last_page":"247"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.9994000196456909,"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":0.9994000196456909,"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/T11439","display_name":"Video Analysis and Summarization","score":0.944100022315979,"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/T11710","display_name":"Biomedical Text Mining and Ontologies","score":0.9354000091552734,"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/glyph","display_name":"Glyph (data visualization)","score":0.8611999750137329},{"id":"https://openalex.org/keywords/visual-analytics","display_name":"Visual analytics","score":0.6743000149726868},{"id":"https://openalex.org/keywords/interactive-visual-analysis","display_name":"Interactive visual analysis","score":0.5497999787330627},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.526199996471405},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.5206000208854675},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.5115000009536743},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.42669999599456787},{"id":"https://openalex.org/keywords/disease","display_name":"Disease","score":0.414900004863739}],"concepts":[{"id":"https://openalex.org/C142816647","wikidata":"https://www.wikidata.org/wiki/Q5573018","display_name":"Glyph (data visualization)","level":3,"score":0.8611999750137329},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7541000247001648},{"id":"https://openalex.org/C59732488","wikidata":"https://www.wikidata.org/wiki/Q2528440","display_name":"Visual analytics","level":3,"score":0.6743000149726868},{"id":"https://openalex.org/C99740376","wikidata":"https://www.wikidata.org/wiki/Q17092520","display_name":"Interactive visual analysis","level":4,"score":0.5497999787330627},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.526199996471405},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.5206000208854675},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5115000009536743},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4404999911785126},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4352000057697296},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.42669999599456787},{"id":"https://openalex.org/C2779134260","wikidata":"https://www.wikidata.org/wiki/Q12136","display_name":"Disease","level":2,"score":0.414900004863739},{"id":"https://openalex.org/C185578843","wikidata":"https://www.wikidata.org/wiki/Q10609775","display_name":"Information visualization","level":3,"score":0.4049000144004822},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.36800000071525574},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.36660000681877136},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.35260000824928284},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.314300000667572},{"id":"https://openalex.org/C184509293","wikidata":"https://www.wikidata.org/wiki/Q5136711","display_name":"Clustering high-dimensional data","level":3,"score":0.3125},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.29670000076293945},{"id":"https://openalex.org/C64073096","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Interactive visualization","level":3,"score":0.2953999936580658},{"id":"https://openalex.org/C199163554","wikidata":"https://www.wikidata.org/wiki/Q1681619","display_name":"Univariate","level":3,"score":0.2912999987602234},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.2838999927043915},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.28290000557899475},{"id":"https://openalex.org/C44210515","wikidata":"https://www.wikidata.org/wiki/Q16968978","display_name":"Bespoke","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C72563966","wikidata":"https://www.wikidata.org/wiki/Q1303415","display_name":"Cohort","level":2,"score":0.2736000120639801},{"id":"https://openalex.org/C167651023","wikidata":"https://www.wikidata.org/wiki/Q1474611","display_name":"Plot (graphics)","level":2,"score":0.26579999923706055},{"id":"https://openalex.org/C31462909","wikidata":"https://www.wikidata.org/wiki/Q1045782","display_name":"Scatter plot","level":2,"score":0.2578999996185303},{"id":"https://openalex.org/C19527891","wikidata":"https://www.wikidata.org/wiki/Q1120908","display_name":"Medical physics","level":1,"score":0.2558000087738037}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tvcg.2021.3114840","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2021.3114840","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Visualization and Computer Graphics","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":32,"referenced_works":["https://openalex.org/W1988711344","https://openalex.org/W1990401068","https://openalex.org/W2014577670","https://openalex.org/W2032779105","https://openalex.org/W2036859301","https://openalex.org/W2044222306","https://openalex.org/W2089468765","https://openalex.org/W2113081107","https://openalex.org/W2114843025","https://openalex.org/W2115276344","https://openalex.org/W2115556748","https://openalex.org/W2122060742","https://openalex.org/W2135415614","https://openalex.org/W2141920797","https://openalex.org/W2142865875","https://openalex.org/W2147694185","https://openalex.org/W2149441684","https://openalex.org/W2171826173","https://openalex.org/W2408574227","https://openalex.org/W2626561790","https://openalex.org/W2750661846","https://openalex.org/W2752202880","https://openalex.org/W2752648449","https://openalex.org/W2782965452","https://openalex.org/W2912259983","https://openalex.org/W3091504090","https://openalex.org/W3184560090","https://openalex.org/W6601294074","https://openalex.org/W6754193064","https://openalex.org/W6775955943","https://openalex.org/W6782476407","https://openalex.org/W6815309268"],"related_works":[],"abstract_inverted_index":{"A":[0],"growing":[1],"number":[2],"of":[3,27,73,80,87,120,131,183],"longitudinal":[4,74],"cohort":[5,76],"studies":[6,189],"are":[7,32,52,126],"generating":[8],"data":[9,18,94],"with":[10,109,146],"extensive":[11],"patient":[12,75,144,206],"observations":[13,31],"across":[14],"multiple":[15],"timepoints.":[16],"Such":[17],"offers":[19],"promising":[20],"opportunities":[21],"to":[22,83,113,142,151],"better":[23],"understand":[24],"the":[25,71,85,153,181],"progression":[26,51,89,124,148,157],"diseases.":[28],"However,":[29],"these":[30],"usually":[33],"treated":[34],"as":[35],"general":[36],"events":[37],"in":[38,48,95,129],"existing":[39],"visual":[40,67],"analysis":[41,170],"tools.":[42],"As":[43],"a":[44,96,101,110,168,184],"result,":[45],"their":[46],"capabilities":[47],"modeling":[49],"disease":[50,88,123,156,199,202],"not":[53],"fully":[54],"utilized.":[55],"To":[56],"fill":[57],"this":[58],"gap,":[59],"we":[60],"designed":[61],"and":[62,106,118,150,158,163,171,190,204],"implemented":[63],"ThreadStates,":[64],"an":[65],"interactive":[66],"analytics":[68],"tool":[69],"for":[70],"exploration":[72],"data.":[77],"The":[78,122,161],"focus":[79],"ThreadStates":[81,195],"is":[82],"identify":[84],"states":[86],"by":[90,167],"learning":[91],"from":[92,177],"observation":[93],"human-in-the-loop":[97],"manner.":[98],"We":[99,137],"propose":[100],"novel":[102],"Glyph":[103],"Matrix":[104],"design":[105,162,186],"combine":[107],"it":[108],"scatter":[111],"plot":[112],"enable":[114],"seamless":[115],"identification,":[116],"observation,":[117],"refinement":[119],"states.":[121],"patterns":[125],"then":[127],"revealed":[128],"terms":[130],"state":[132],"transitions":[133],"using":[134],"Sankey-based":[135],"visualizations.":[136],"employ":[138],"sequence":[139],"clustering":[140],"techniques":[141],"find":[143],"groups":[145],"distinctive":[147],"patterns,":[149],"reveal":[152,201],"association":[154],"between":[155],"patient-level":[159],"features.":[160],"development":[164],"were":[165],"driven":[166],"requirement":[169],"iteratively":[172],"refined":[173],"based":[174],"on":[175],"feedback":[176],"domain":[178],"experts":[179],"over":[180],"course":[182],"10-month":[185],"study.":[187],"Case":[188],"expert":[191],"interviews":[192],"demonstrate":[193],"that":[194],"can":[196],"successively":[197],"summarize":[198],"states,":[200],"progression,":[203],"compare":[205],"groups.":[207]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":4},{"year":2023,"cited_by_count":10},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2021-10-11T00:00:00"}
