{"id":"https://openalex.org/W2038494599","doi":"https://doi.org/10.1109/icdmw.2011.59","title":"Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect","display_name":"Data Mining Cancer Registries: Retrospective Surveillance of Small Area Time Trends in Cancer Incidence Using BaySTDetect","publication_year":2011,"publication_date":"2011-12-01","ids":{"openalex":"https://openalex.org/W2038494599","doi":"https://doi.org/10.1109/icdmw.2011.59","mag":"2038494599"},"language":"en","primary_location":{"id":"doi:10.1109/icdmw.2011.59","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2011.59","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 11th International Conference on Data Mining Workshops","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102994564","display_name":"Guangquan Li","orcid":"https://orcid.org/0000-0003-1050-634X","observed_orcids":["https://orcid.org/0000-0003-1050-634X"]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Guangquan Li","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086827100","display_name":"Sylvia T. Richardson","orcid":"https://orcid.org/0000-0003-1998-492X","observed_orcids":["https://orcid.org/0000-0003-1998-492X"]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Sylvia Richardson","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5031609771","display_name":"L\u00e9a Fortunato","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Lea Fortunato","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056052441","display_name":"Isma\u00efl Ahmed","orcid":"https://orcid.org/0000-0003-0468-6858","observed_orcids":["https://orcid.org/0000-0003-0468-6858"]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ismail Ahmed","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054008224","display_name":"Anna Hansell","orcid":"https://orcid.org/0000-0001-9904-7447","observed_orcids":["https://orcid.org/0000-0001-9904-7447"]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anna Hansell","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064320185","display_name":"Mireille B. Toledano","orcid":"https://orcid.org/0000-0001-5695-6210","observed_orcids":["https://orcid.org/0000-0001-5695-6210"]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Mireille Toledano","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056278561","display_name":"Nicky Best","orcid":"https://orcid.org/0000-0003-4120-9727","observed_orcids":["https://orcid.org/0000-0003-4120-9727"]},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nicky Best","raw_affiliation_strings":["Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Epidemiology and Biostatistics, School of Public Health, Faculty of Medicine, Imperial College London, London, UK","institution_ids":["https://openalex.org/I47508984"]},{"raw_affiliation_string":"Dept. of Epidemiology & Biostat., Imperial Coll. London, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.08305275,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"1","issue":null,"first_page":"885","last_page":"890"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},"topics":[{"id":"https://openalex.org/T10556","display_name":"Global Cancer Incidence and Screening","score":0.9340999722480774,"subfield":{"id":"https://openalex.org/subfields/2730","display_name":"Oncology"},"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/T11819","display_name":"Data-Driven Disease Surveillance","score":0.02630000002682209,"subfield":{"id":"https://openalex.org/subfields/2713","display_name":"Epidemiology"},"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/T11911","display_name":"Spatial and Panel Data Analysis","score":0.02370000071823597,"subfield":{"id":"https://openalex.org/subfields/2002","display_name":"Economics and Econometrics"},"field":{"id":"https://openalex.org/fields/20","display_name":"Economics, Econometrics and Finance"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cancer-incidence","display_name":"cancer incidence","score":0.6669999957084656},{"id":"https://openalex.org/keywords/bayesian-model-selection","display_name":"Bayesian model selection","score":0.5989999771118164},{"id":"https://openalex.org/keywords/spatio-temporal-modeling","display_name":"spatio-temporal modeling","score":0.8420000076293945},{"id":"https://openalex.org/keywords/cancer-registry","display_name":"cancer registry","score":0.6129999756813049},{"id":"https://openalex.org/keywords/retrospective-surveillance","display_name":"retrospective surveillance","score":0.6759999990463257},{"id":"https://openalex.org/keywords/multiplicative-decomposition","display_name":"multiplicative decomposition","score":0.6019999980926514},{"id":"https://openalex.org/keywords/rare-diseases","display_name":"rare diseases","score":0.5049999952316284}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6367484927177429},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.5815500020980835},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.46475473046302795},{"id":"https://openalex.org/C132964779","wikidata":"https://www.wikidata.org/wiki/Q2110223","display_name":"Raw data","level":2,"score":0.44288426637649536},{"id":"https://openalex.org/C77277458","wikidata":"https://www.wikidata.org/wiki/Q1969246","display_name":"Temporal database","level":2,"score":0.4190616011619568},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.339584618806839},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2541631758213043},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13525331020355225},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icdmw.2011.59","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icdmw.2011.59","pdf_url":null,"source":{"id":"https://openalex.org/S4393918563","display_name":"IEEE ... International Conference on Data Mining workshops","issn_l":"2375-9259","issn":["2375-9259"],"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":["norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 IEEE 11th International Conference on Data Mining Workshops","raw_type":"proceedings-article"},{"id":"pmh:oai:nrl.northumbria.ac.uk:15706","is_oa":false,"landing_page_url":"http://nrl.northumbria.ac.uk/id/eprint/15706/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401884","display_name":"Northumbria Research Link (Northumbria University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I32394136","host_organization_name":"Northumbria University","host_organization_lineage":["https://openalex.org/I32394136"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Book Section"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.46810001134872437,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"sustainable_development_goals_aurora":[{"score":0.8600000143051147,"display_name":"Good health and well-being","id":"https://metadata.un.org/sdg/3"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1536497620","https://openalex.org/W1590628445","https://openalex.org/W1989730355","https://openalex.org/W1991370590","https://openalex.org/W2004014822","https://openalex.org/W2073222618","https://openalex.org/W2080879054","https://openalex.org/W2092990185","https://openalex.org/W2099691002","https://openalex.org/W2104232463","https://openalex.org/W2119721623","https://openalex.org/W2123485292","https://openalex.org/W2314104081","https://openalex.org/W2495595050","https://openalex.org/W4255113605"],"related_works":["https://openalex.org/W3012838233","https://openalex.org/W4252510819","https://openalex.org/W2330446075","https://openalex.org/W1922851888","https://openalex.org/W4250495829","https://openalex.org/W2406961220","https://openalex.org/W2363876787","https://openalex.org/W2605106030","https://openalex.org/W4388053854","https://openalex.org/W2980555063"],"abstract_inverted_index":{"Space-time":[0],"modelling":[1,32],"of":[2,71,77,85,108,110,122,142,155,199,204,220,241,269],"small":[3,123],"area":[4,107,124,157,206],"data":[5,25,287],"is":[6,34,91,150,189,214,233,244,283],"often":[7],"used":[8],"in":[9,15,37,63,273,279,298,306],"epidemiology":[10],"for":[11,68,118,182,235],"mapping":[12],"temporal":[13,51,89,161,166],"trends":[14,138],"chronic":[16],"disease":[17,43],"rates.":[18,44],"For":[19],"rare":[20],"diseases":[21],"such":[22],"as":[23,210],"cancers,":[24],"are":[26],"sparse,":[27],"and":[28,159],"a":[29,49,78,105,111,151,177,196],"Bayesian":[30,129],"hierarchical":[31],"approach":[33],"typically":[35],"adopted":[36],"order":[38],"to":[39,94,191,252,275,286,302],"smooth":[40],"the":[41,128,156,160,169,200,217,226,229,242,246,254,270,276,294],"raw":[42],"Although":[45],"there":[46],"may":[47,60],"be":[48,250],"general":[50],"trend":[52,209,231],"which":[53,193,224],"affect":[54],"all":[55],"areas":[56,65,86,96],"similarly,":[57],"abrupt":[58],"changes":[59],"also":[61],"occur":[62],"particular":[64],"due":[66],"to,":[67],"example,":[69],"emergence":[70],"localized":[72],"risk":[73],"factor(s)":[74],"or":[75,81,212],"impact":[76],"new":[79],"health":[80],"screening":[82],"policy.":[83],"Detection":[84],"with":[87],"\"unusual''":[88],"patterns":[90],"therefore":[92],"important":[93,239],"flag-up":[95],"warranting":[97],"further":[98,267],"investigations.":[99],"In":[100],"this":[101,221],"paper,":[102],"we":[103,264],"present":[104,265],"novel":[106],"application":[109],"recently":[112],"proposed":[113],"detection":[114,256,277],"method,":[115],"Bays":[116,133,281],"Detect,":[117],"short":[119],"time":[120,137,179,208],"series":[121],"data.":[125,202],"Placed":[126],"within":[127],"model":[130,149,175,187,194,222,232,271],"choice":[131],"framework,":[132],"Detect":[134,282],"detects":[135],"unusual":[136],"based":[139,215],"on":[140,216,260,288],"comparison":[141],"two":[143],"competing":[144],"space-time":[145],"models.":[146],"The":[147,173],"first":[148],"straightforward":[152],"multiplicative":[153],"decomposition":[154],"effect":[158],"effect,":[162],"assuming":[163],"one":[164],"single":[165],"pattern":[167],"across":[168],"whole":[170],"study":[171],"region.":[172],"second":[174],"estimates":[176],"local":[178,201,207],"trend,":[180],"independently":[181],"each":[183],"area.":[184,237],"An":[185,238],"area-specific":[186],"indicator":[188],"introduced":[190],"select":[192],"offers":[195],"better":[197],"description":[198],"Classification":[203],"an":[205],"``unusual''":[211],"not":[213],"posterior":[218],"mean":[219],"indicator,":[223],"represents":[225],"probability":[227],"that":[228,236,245],"common":[230],"appropriate":[234],"feature":[240],"method":[243],"classification":[247],"rule":[248],"can":[249],"fine-tuned":[251],"control":[253],"false":[255],"rate":[257],"(FDR).":[258],"Based":[259],"previous":[261],"simulation":[262],"results,":[263],"some":[266],"insights":[268],"specification":[272],"relation":[274],"performance":[278],"practice.":[280],"then":[284],"applied":[285],"several":[289],"different":[290],"cancers":[291],"collected":[292],"by":[293],"Thames":[295],"Cancer":[296],"Registry":[297],"South":[299],"East":[300],"England":[301],"illustrate":[303],"its":[304],"potential":[305],"retrospective":[307],"surveillance.":[308]},"counts_by_year":[{"year":2018,"cited_by_count":1}],"updated_date":"2026-10-06T10:28:23.643775","created_date":"2025-10-10T00:00:00"}