{"id":"https://openalex.org/W3036437355","doi":"https://doi.org/10.1109/saci49304.2020.9118838","title":"The use of peak over threshold methods to characterise blood glucose curves","display_name":"The use of peak over threshold methods to characterise blood glucose curves","publication_year":2020,"publication_date":"2020-05-01","ids":{"openalex":"https://openalex.org/W3036437355","doi":"https://doi.org/10.1109/saci49304.2020.9118838","mag":"3036437355"},"language":"en","primary_location":{"id":"doi:10.1109/saci49304.2020.9118838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci49304.2020.9118838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-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/A5075545444","display_name":"M\u00e1ty\u00e1s Szigeti","orcid":"https://orcid.org/0000-0001-7250-7888"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":true,"raw_author_name":"Matyas Szigeti","raw_affiliation_strings":["&#x00D3;buda University,Physiological Controls Research Center,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"&#x00D3;buda University,Physiological Controls Research Center,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019524154","display_name":"Tam\u00e1s Ferenci","orcid":"https://orcid.org/0000-0001-6791-3080"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Tamas Ferenci","raw_affiliation_strings":["&#x00D3;buda University,Physiological Controls Research Center,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"&#x00D3;buda University,Physiological Controls Research Center,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021051122","display_name":"Levente Kov\u00e1cs","orcid":"https://orcid.org/0000-0002-3188-0800"},"institutions":[{"id":"https://openalex.org/I2801419141","display_name":"Buda Health Center","ror":"https://ror.org/00yx04352","country_code":"HU","type":"healthcare","lineage":["https://openalex.org/I2801419141"]}],"countries":["HU"],"is_corresponding":false,"raw_author_name":"Levente Kovacs","raw_affiliation_strings":["&#x00D3;buda University,Physiological Controls Research Center,Budapest,Hungary"],"affiliations":[{"raw_affiliation_string":"&#x00D3;buda University,Physiological Controls Research Center,Budapest,Hungary","institution_ids":["https://openalex.org/I2801419141"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5075545444"],"corresponding_institution_ids":["https://openalex.org/I2801419141"],"apc_list":null,"apc_paid":null,"fwci":0.8512,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7481226,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"000199","last_page":"000204"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10560","display_name":"Diabetes Management and Research","score":0.9750000238418579,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10027","display_name":"Diabetes, Cardiovascular Risks, and Lipoproteins","score":0.9660000205039978,"subfield":{"id":"https://openalex.org/subfields/2712","display_name":"Endocrinology, Diabetes and Metabolism"},"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/T10351","display_name":"Liver Disease Diagnosis and Treatment","score":0.9419000148773193,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/extreme-value-theory","display_name":"Extreme value theory","score":0.7371326684951782},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.6576710939407349},{"id":"https://openalex.org/keywords/metric","display_name":"Metric (unit)","score":0.5597570538520813},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.43636471033096313},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.37263941764831543},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.3101593255996704},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10948631167411804}],"concepts":[{"id":"https://openalex.org/C147581598","wikidata":"https://www.wikidata.org/wiki/Q729429","display_name":"Extreme value theory","level":2,"score":0.7371326684951782},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.6576710939407349},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.5597570538520813},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.43636471033096313},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.37263941764831543},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.3101593255996704},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10948631167411804},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/saci49304.2020.9118838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/saci49304.2020.9118838","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 14th International Symposium on Applied Computational Intelligence and Informatics (SACI)","raw_type":"proceedings-article"},{"id":"pmh:oai:real.mtak.hu:121217","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306400081","display_name":"Repository of the Academy's Library (Library of the Hungarian Academy of Sciences)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210140733","host_organization_name":"Library and Information Centre of the Hungarian Academy of Sciences","host_organization_lineage":["https://openalex.org/I4210140733"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":"","raw_type":"Conference or Workshop Item"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W103326292","https://openalex.org/W1966362654","https://openalex.org/W1972286313","https://openalex.org/W2031916024","https://openalex.org/W2036983007","https://openalex.org/W2053385708","https://openalex.org/W2057795930","https://openalex.org/W2087944333","https://openalex.org/W2122456939","https://openalex.org/W2129995532","https://openalex.org/W2135051526","https://openalex.org/W2145562665","https://openalex.org/W2157643616","https://openalex.org/W2162557622","https://openalex.org/W2324099123","https://openalex.org/W2462625274","https://openalex.org/W2516934950","https://openalex.org/W2912878510","https://openalex.org/W2914926634","https://openalex.org/W7067672409"],"related_works":["https://openalex.org/W1979597421","https://openalex.org/W2007980826","https://openalex.org/W4245490552","https://openalex.org/W4225152035","https://openalex.org/W2061531152","https://openalex.org/W3002753104","https://openalex.org/W2077600819","https://openalex.org/W1587224694","https://openalex.org/W2911598644","https://openalex.org/W2142036596"],"abstract_inverted_index":{"In":[0,234],"contrast":[1],"to":[2,17,49,64,215,229,236,263,329],"regular":[3],"statistics":[4,31,46,143,223],"which":[5,32],"focuses":[6,33],"on":[7,34,52],"the":[8,12,22,35,56,88,107,138,159,168,218,241,244,248,251,285,316,319],"typical":[9],"part":[10,20,54],"of":[11,30,43,55,98,106,129,140,158,167,193,210,220,243,250,253,267,274,289],"data":[13,57,108,131],"and":[14,37,58,67,85,150,183,199,295,303,306],"use":[15,42,139,219],"metrics":[16],"describe":[18],"that":[19,217],"(usually":[21],"mean":[23],"or":[24,206],"variance),":[25],"there":[26],"is":[27,117,165,327],"a":[28,103,126,188,226,238,268],"branch":[29],"extreme":[36,44,74,89,141,191,221,265],"thus":[38,123],"rare":[39],"events.":[40],"The":[41],"value":[45,142,222],"allows":[47,247],"us":[48,63],"fit":[50],"models":[51],"this":[53,71,99],"like":[59,83],",,regular\"":[60],"statistics,":[61],"enables":[62],"calculate":[65],"estimates":[66,325],"predictions,":[68],"but":[69],"in":[70,81,144,315],"case":[72],"for":[73,119,179,187,240,283],"values.":[75],"These":[76],"methods":[77],"are":[78,152,201],"frequently":[79],"used":[80,111,262],"fields":[82,124],"meteorology":[84],"finance":[86],"where":[87,147],"events":[90],"has":[91],"large":[92,127],"impact":[93],"despite":[94],"their":[95],"rarity.":[96],"Because":[97],"rarity,":[100],"however,":[101],"only":[102],"small":[104],"fraction":[105],"can":[109,176],"be":[110,177,225],"so":[112],"much":[113],"higher":[114],"sample":[115],"size":[116],"required":[118],"such":[120],"analysis":[121],"-":[122,204,208],"with":[125,172,184,203,277],"amount":[128],"historical":[130],"have":[132],"an":[133],"advantage.":[134],"This":[135,212],"factor":[136],"limited":[137],"biomedical":[145],"field":[146],"available":[148],"technology":[149],"costs":[151],"strong":[153],"limitations":[154],"at":[155],"measuring":[156],"most":[157],"biomarkers":[160],"until":[161],"recently.Blood":[162],"glucose":[163,195,232],"level":[164],"one":[166],"exceptions":[169],"nowadays,":[170],"as":[171,280],"recent":[173],"advancements":[174],"it":[175,246,326],"monitored":[178],"relatively":[180],"long":[181],"time":[182],"high":[185,198],"frequency":[186],"patient.":[189],"Additionally,":[190],"values":[192,266],"blood":[194,231],"levels":[196,288],"(both":[197],"low)":[200],"associated":[202],"chronic":[205],"acute":[207],"complications":[209],"diabetes.":[211],"paper":[213],"aims":[214],"demonstrate":[216],"could":[224],"possible":[227,328],"way":[228],"characterize":[230],"curves.":[233],"addition":[235],"providing":[237],"metric":[239],"state":[242],"patient,":[245],"comparison":[249],"performance":[252],"artificial":[254],"pancreas":[255],"models.":[256],"Peak":[257],"over":[258],"threshold":[259,320],"method":[260],"was":[261],"model":[264],"simulated":[269],"dataset":[270],"containing":[271],"1440":[272],"measurements":[273],"99":[275],"patients":[276],"250":[278],"mg/dl":[279,291,297],"threshold.":[281],"Probabilities":[282],"exceeding":[284],"clinically":[286],"relevant":[287],"270":[290],"(cognitive":[292],"symptoms":[293],"expected)":[294],"600":[296],"(diabetic":[298],"hyperosmolar":[299],"syndrome)":[300],"were":[301,304],"calculated":[302],"23.9%":[305],"8.0":[307],"\u00b7":[308],"10":[309],"<sup":[310],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[311],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">-6</sup>":[312],"%":[313],"respectively":[314],"region":[317],"above":[318],"(250":[321],"mg/dl).":[322],"Through":[323],"these":[324],"compare":[330],"different":[331],"controllers.":[332]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":5},{"year":2021,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
