{"id":"https://openalex.org/W3127838479","doi":"https://doi.org/10.1109/bibm49941.2020.9313162","title":"Emulation of dynamic multi\u2013output simulator of risk of type-2 diabetes","display_name":"Emulation of dynamic multi\u2013output simulator of risk of type-2 diabetes","publication_year":2020,"publication_date":"2020-12-16","ids":{"openalex":"https://openalex.org/W3127838479","doi":"https://doi.org/10.1109/bibm49941.2020.9313162","mag":"3127838479"},"language":"en","primary_location":{"id":"doi:10.1109/bibm49941.2020.9313162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","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/A5009148451","display_name":"Paola Stolfi","orcid":"https://orcid.org/0000-0003-3688-5464"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Paola Stolfi","raw_affiliation_strings":["Institute for Applied Computing (IAC) National Research Council of Italy, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Applied Computing (IAC) National Research Council of Italy, Rome, Italy","institution_ids":["https://openalex.org/I4210155236"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010454141","display_name":"Filippo Castiglione","orcid":"https://orcid.org/0000-0002-1442-3552"},"institutions":[{"id":"https://openalex.org/I4210155236","display_name":"National Research Council","ror":"https://ror.org/04zaypm56","country_code":"IT","type":"nonprofit","lineage":["https://openalex.org/I4210155236"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Filippo Castiglione","raw_affiliation_strings":["Institute for Applied Computing (IAC) National Research Council of Italy, Rome, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute for Applied Computing (IAC) National Research Council of Italy, Rome, Italy","institution_ids":["https://openalex.org/I4210155236"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210155236"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"340","last_page":"345"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9872000217437744,"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"}},"topics":[{"id":"https://openalex.org/T12761","display_name":"Data Stream Mining Techniques","score":0.9872000217437744,"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/T12205","display_name":"Time Series Analysis and Forecasting","score":0.983299970626831,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11195","display_name":"Simulation Techniques and Applications","score":0.9743000268936157,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/emulation","display_name":"Emulation","score":0.732094407081604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6563507318496704},{"id":"https://openalex.org/keywords/workstation","display_name":"Workstation","score":0.6006697416305542},{"id":"https://openalex.org/keywords/construct","display_name":"Construct (python library)","score":0.5887641906738281},{"id":"https://openalex.org/keywords/type-2-diabetes","display_name":"Type 2 diabetes","score":0.5569978356361389},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5054488182067871},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.37201160192489624},{"id":"https://openalex.org/keywords/simulation","display_name":"Simulation","score":0.34803876280784607},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3298681974411011},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.20252171158790588},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.17593520879745483}],"concepts":[{"id":"https://openalex.org/C149810388","wikidata":"https://www.wikidata.org/wiki/Q5374873","display_name":"Emulation","level":2,"score":0.732094407081604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6563507318496704},{"id":"https://openalex.org/C67953723","wikidata":"https://www.wikidata.org/wiki/Q192525","display_name":"Workstation","level":2,"score":0.6006697416305542},{"id":"https://openalex.org/C2780801425","wikidata":"https://www.wikidata.org/wiki/Q5164392","display_name":"Construct (python library)","level":2,"score":0.5887641906738281},{"id":"https://openalex.org/C2777180221","wikidata":"https://www.wikidata.org/wiki/Q3025883","display_name":"Type 2 diabetes","level":3,"score":0.5569978356361389},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5054488182067871},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.37201160192489624},{"id":"https://openalex.org/C44154836","wikidata":"https://www.wikidata.org/wiki/Q45045","display_name":"Simulation","level":1,"score":0.34803876280784607},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3298681974411011},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.20252171158790588},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.17593520879745483},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","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},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bibm49941.2020.9313162","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bibm49941.2020.9313162","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger","score":0.7900000214576721}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1746819321","https://openalex.org/W1970328019","https://openalex.org/W1988748730","https://openalex.org/W1995670244","https://openalex.org/W1995945562","https://openalex.org/W2039716701","https://openalex.org/W2040932457","https://openalex.org/W2113901615","https://openalex.org/W2123592990","https://openalex.org/W2167851640","https://openalex.org/W2168874985","https://openalex.org/W2169310913","https://openalex.org/W2616922680","https://openalex.org/W2734870586","https://openalex.org/W2756659234","https://openalex.org/W2789210774","https://openalex.org/W2802525560","https://openalex.org/W2884887967","https://openalex.org/W2907662870","https://openalex.org/W2913795550","https://openalex.org/W3004869559"],"related_works":["https://openalex.org/W2154523322","https://openalex.org/W2083200807","https://openalex.org/W1603137082","https://openalex.org/W2364195017","https://openalex.org/W2355430452","https://openalex.org/W2049983405","https://openalex.org/W2392315374","https://openalex.org/W1951195060","https://openalex.org/W2351776620","https://openalex.org/W2352195574"],"abstract_inverted_index":{"We":[0],"have":[1],"recently":[2],"developed":[3],"and":[4,14,23,78,95,99],"validated":[5],"multilevel":[6],"patient-specific":[7],"model":[8,60],"able":[9],"to":[10,69,124,139,144],"integrate":[11],"metabolic,":[12],"nutritional":[13],"lifestyle":[15],"data":[16],"for":[17,45],"the":[18,21,27,33,38,53,55,71,83,120],"prediction":[19],"of":[20,29,35,40,47,50,57,73,87,93,119],"metabolic":[22],"inflammatory":[24],"processes":[25],"underlying":[26],"development":[28],"type-2":[30,41,74],"diabetes":[31,51],"in":[32,52],"absence":[34],"familiarity.":[36],"Given":[37],"incidence":[39],"diabete,":[42],"which":[43],"accounts":[44],"85-90%":[46],"all":[48],"cases":[49],"world,":[54],"implementation":[56],"this":[58,88],"predictive":[59],"on":[61,109,114,141],"mobile":[62,115,142],"devices":[63,143],"could":[64],"provide":[65,145],"a":[66,91,101,130],"useful":[67],"instrument":[68],"assess":[70],"risk":[72],"diabete":[75],"by":[76],"informed":[77],"aware":[79],"individuals.":[80],"However,":[81],"give":[82],"high":[84],"computational":[85,136],"cost":[86,137],"model,":[89,128],"being":[90],"mixture":[92],"agent-based":[94],"ordinary":[96],"differential":[97],"equations":[98],"providing":[100],"dynamic":[102],"multivariate":[103],"output,":[104],"it":[105,123],"can":[106],"run":[107,140],"only":[108],"powerful":[110],"workstations":[111],"but":[112],"not":[113],"devices.":[116],"The":[117],"aim":[118],"present":[121],"paper":[122],"construct":[125],"an":[126],"emulator":[127],"using":[129],"machine":[131],"learning":[132],"approach,":[133],"with":[134],"reduced":[135],"so":[138],"real":[146],"time":[147],"self-monitoring.":[148]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}