{"id":"https://openalex.org/W4361029873","doi":"https://doi.org/10.15439/2022r36","title":"Development of Ensemble Tree Models for Generalized Blood Glucose Level Prediction","display_name":"Development of Ensemble Tree Models for Generalized Blood Glucose Level Prediction","publication_year":2022,"publication_date":"2022-02-20","ids":{"openalex":"https://openalex.org/W4361029873","doi":"https://doi.org/10.15439/2022r36"},"language":"en","primary_location":{"id":"doi:10.15439/2022r36","is_oa":true,"landing_page_url":"http://dx.doi.org/10.15439/2022r36","pdf_url":"https://annals-csis.org/proceedings/rice2022/drp/pdf/36.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://annals-csis.org/proceedings/rice2022/drp/pdf/36.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5070665446","display_name":"Aashima Aashima","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Aashima","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068336311","display_name":"Shashank Bhargav","orcid":"https://orcid.org/0000-0002-2605-5849"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shashank Bhargav","raw_affiliation_strings":["Indian Institute of Technology Mandi Kamand, Himachal Pradesh, India -175005","RxDataScience, Inc. USA -277709"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Mandi Kamand, Himachal Pradesh, India -175005","institution_ids":["https://openalex.org/I9579091"]},{"raw_affiliation_string":"RxDataScience, Inc. USA -277709","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015858110","display_name":"Shruti Kaushik","orcid":"https://orcid.org/0000-0001-9117-2868"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Shruti Kaushik","raw_affiliation_strings":["Indian Institute of Technology Mandi Kamand, Himachal Pradesh, India -175005","RxDataScience, Inc. USA -277709"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Mandi Kamand, Himachal Pradesh, India -175005","institution_ids":["https://openalex.org/I9579091"]},{"raw_affiliation_string":"RxDataScience, Inc. USA -277709","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010689942","display_name":"Varun Dutt","orcid":"https://orcid.org/0000-0002-2151-8314"},"institutions":[{"id":"https://openalex.org/I9579091","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34","country_code":"IN","type":"education","lineage":["https://openalex.org/I9579091"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Varun Dutt","raw_affiliation_strings":["RxDataScience, Inc. USA -277709","Indian Institute of Technology Mandi Kamand, Himachal Pradesh, India -175005"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"RxDataScience, Inc. USA -277709","institution_ids":[]},{"raw_affiliation_string":"Indian Institute of Technology Mandi Kamand, Himachal Pradesh, India -175005","institution_ids":["https://openalex.org/I9579091"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.45294118,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"33","issue":null,"first_page":"55","last_page":"61"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9560999870300293,"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":0.9560999870300293,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.9373999834060669,"subfield":{"id":"https://openalex.org/subfields/3605","display_name":"Health Information Management"},"field":{"id":"https://openalex.org/fields/36","display_name":"Health Professions"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6435878872871399},{"id":"https://openalex.org/keywords/tree","display_name":"Tree (set theory)","score":0.5706998109817505},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.405266672372818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32057303190231323},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1948947310447693}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6435878872871399},{"id":"https://openalex.org/C113174947","wikidata":"https://www.wikidata.org/wiki/Q2859736","display_name":"Tree (set theory)","level":2,"score":0.5706998109817505},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.405266672372818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32057303190231323},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1948947310447693},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.15439/2022r36","is_oa":true,"landing_page_url":"http://dx.doi.org/10.15439/2022r36","pdf_url":"https://annals-csis.org/proceedings/rice2022/drp/pdf/36.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},{"id":"pmh:oai:doaj.org/article:e8216149f0624d9a935664bfee4917c9","is_oa":false,"landing_page_url":"https://doaj.org/article/e8216149f0624d9a935664bfee4917c9","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Annals of computer science and information systems, Vol 33, Pp 55-61 (2022)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.15439/2022r36","is_oa":true,"landing_page_url":"http://dx.doi.org/10.15439/2022r36","pdf_url":"https://annals-csis.org/proceedings/rice2022/drp/pdf/36.pdf","source":{"id":"https://openalex.org/S4220651875","display_name":"Annals of Computer Science and Information Systems","issn_l":"2300-5963","issn":["2300-5963"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":"https://openalex.org/P4310317484","host_organization_name":"Polskie Towarzystwo Informatyczne","host_organization_lineage":["https://openalex.org/P4310317484"],"host_organization_lineage_names":["Polskie Towarzystwo Informatyczne"],"type":"conference"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annals of Computer Science and Information Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Zero hunger","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/2"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320322211","display_name":"Indian Institute of Technology Madras","ror":"https://ror.org/03v0r5n49"},{"id":"https://openalex.org/F4320326797","display_name":"Indian Institute of Technology Mandi","ror":"https://ror.org/05r9r2f34"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4361029873.pdf","grobid_xml":"https://content.openalex.org/works/W4361029873.grobid-xml"},"referenced_works_count":30,"referenced_works":["https://openalex.org/W1489892012","https://openalex.org/W1827070843","https://openalex.org/W1964947170","https://openalex.org/W1985034572","https://openalex.org/W2003643515","https://openalex.org/W2018471296","https://openalex.org/W2041058086","https://openalex.org/W2046831337","https://openalex.org/W2098139285","https://openalex.org/W2101234009","https://openalex.org/W2218089048","https://openalex.org/W2766101599","https://openalex.org/W2767690062","https://openalex.org/W2767819117","https://openalex.org/W2793729473","https://openalex.org/W2945762638","https://openalex.org/W2981886891","https://openalex.org/W2993720025","https://openalex.org/W3008906415","https://openalex.org/W3016173377","https://openalex.org/W3019069635","https://openalex.org/W3037923761","https://openalex.org/W3040704051","https://openalex.org/W3090033828","https://openalex.org/W3090801817","https://openalex.org/W3139241726","https://openalex.org/W4281710340","https://openalex.org/W4300102224","https://openalex.org/W4302024640","https://openalex.org/W4392145873"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W4224009465","https://openalex.org/W4286629047","https://openalex.org/W4306321456","https://openalex.org/W3046775127","https://openalex.org/W4205958290","https://openalex.org/W3107474891","https://openalex.org/W3209574120","https://openalex.org/W3170094116"],"abstract_inverted_index":{"Type-1":[0],"diabetes":[1],"(T1D)":[2],"patients":[3,80],"must":[4],"carefully":[5],"monitor":[6],"their":[7,69],"insulin":[8],"doses":[9],"to":[10,62,119,196],"avoid":[11],"serious":[12],"health":[13],"complications.An":[14],"effective":[15],"regimen":[16],"can":[17],"be":[18],"designed":[19],"by":[20,103],"predicting":[21],"accurate":[22],"blood":[23],"glucose":[24],"levels":[25],"(BGLs).Several":[26],"physiological":[27],"and":[28,68,111,159,184,224,226,233],"datadriven":[29],"models":[30,57,124,187,218],"for":[31,50,72,137,165,246],"BGL":[32,51,74,179,248],"prediction":[33],"have":[34],"been":[35],"designed.However,":[36],"less":[37],"is":[38],"known":[39],"on":[40,209],"the":[41,55,84,112,121,174,182,185,193,198,210,216,237],"combination":[42],"of":[43,54,77,107,168,239],"different":[44],"traditional":[45,65,140,243],"machine":[46],"learning":[47],"(ML)":[48],"algorithms":[49,67,245],"prediction.Furthermore,":[52],"most":[53],"available":[56],"are":[58],"patient-specific.This":[59],"research":[60,206,235],"aims":[61],"evaluate":[63],"several":[64],"ML":[66,244],"novel":[70,228],"combinations":[71],"generalized":[73,247],"prediction.The":[75],"data":[76,100,130],"forty":[78],"T1D":[79],"were":[81,125,163,188],"generated":[82],"using":[83,127,242],"Automated":[85],"Insulin":[86],"Dosage":[87],"Advisor":[88],"(AIDA)":[89],"simulator.The":[90],"twenty-four":[91],"hour":[92],"timeseries":[93],"contained":[94],"samples":[95],"at":[96],"fifteen-minute":[97],"intervals.The":[98],"training":[99],"was":[101,117,177,207],"obtained":[102],"joining":[104],"eighty":[105],"percent":[106,115],"each":[108],"patient's":[109],"time-series,":[110],"remaining":[113],"twenty":[114],"time-series":[116],"joined":[118],"obtain":[120,197],"testing":[122],"data.The":[123],"trained":[126],"multiple":[128,138,169],"patients'":[129],"so":[131],"that":[132],"they":[133],"could":[134],"make":[135],"predictions":[136,180],"patients.The":[139],"non-ensemble":[141,217],"algorithms:":[142],"linear":[143],"regression":[144,148],"(LR),":[145],"support":[146],"vector":[147],"(SVR),":[149],"knearest":[150],"neighbors":[151],"(KNN),":[152],"multi-layer":[153],"perceptron":[154],"(MLP),":[155],"decision":[156],"tree":[157,161],"(DCT),":[158],"extra":[160],"(EXT)":[162],"evaluated":[164],"forecasting":[166],"BGLs":[167],"patients.A":[170],"new":[171],"ensemble,":[172],"called":[173],"Tree-SVR":[175,213],"model,":[176],"developed.The":[178],"from":[181],"DCT":[183],"EXT":[186],"fed":[189],"as":[190],"features":[191],"into":[192],"SVR":[194],"model":[195,214],"final":[199],"outcome.The":[200],"ensemble":[201],"approach":[202],"used":[203],"in":[204],"this":[205],"based":[208],"stacking":[211],"technique.The":[212],"outperformed":[215],"(LR,":[219],"SVR,":[220],"KNN,":[221],"MLP,":[222],"DCT,":[223],"EXT)":[225],"other":[227],"Tree":[229],"variants":[230],"(Tree-LR,":[231],"Tree-MLP,":[232],"Tree-KNN).This":[234],"highlights":[236],"utility":[238],"designing":[240],"ensembles":[241],"prediction.":[249]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}