{"id":"https://openalex.org/W4360605064","doi":"https://doi.org/10.1109/icaiic57133.2023.10067013","title":"XGBoost Calibration Considering Feature Importance for Noninvasive HbA1c Estimation Using PPG Signals","display_name":"XGBoost Calibration Considering Feature Importance for Noninvasive HbA1c Estimation Using PPG Signals","publication_year":2023,"publication_date":"2023-02-20","ids":{"openalex":"https://openalex.org/W4360605064","doi":"https://doi.org/10.1109/icaiic57133.2023.10067013"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic57133.2023.10067013","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","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/A5008256069","display_name":"Mrinmoy Sarker Turja","orcid":"https://orcid.org/0000-0003-3010-4305"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Mrinmoy Sarker Turja","raw_affiliation_strings":["Kookmin University,Dept. of Electronics Engineering","Dept. of Electronics Engineering, Kookmin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kookmin University,Dept. of Electronics Engineering","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"Dept. of Electronics Engineering, Kookmin University","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5086152499","display_name":"Tae-Ho Kwon","orcid":"https://orcid.org/0000-0001-6784-5591"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Tae-Ho Kwon","raw_affiliation_strings":["Kookmin University,Dept. of Electronics Engineering","Dept. of Electronics Engineering, Kookmin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kookmin University,Dept. of Electronics Engineering","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"Dept. of Electronics Engineering, Kookmin University","institution_ids":["https://openalex.org/I110273157"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015400064","display_name":"Hyoungkeun Kim","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hyoungkeun Kim","raw_affiliation_strings":["Korea I.T.S. Co., Ltd.,Gangnam,Seoul,Korea,06373"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Korea I.T.S. Co., Ltd.,Gangnam,Seoul,Korea,06373","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5025430220","display_name":"Ki\u2010Doo Kim","orcid":"https://orcid.org/0000-0001-5052-3844"},"institutions":[{"id":"https://openalex.org/I110273157","display_name":"Kookmin University","ror":"https://ror.org/0049erg63","country_code":"KR","type":"education","lineage":["https://openalex.org/I110273157"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Ki-Doo Kim","raw_affiliation_strings":["Kookmin University,Dept. of Electronics Engineering","Dept. of Electronics Engineering, Kookmin University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kookmin University,Dept. of Electronics Engineering","institution_ids":["https://openalex.org/I110273157"]},{"raw_affiliation_string":"Dept. of Electronics Engineering, Kookmin University","institution_ids":["https://openalex.org/I110273157"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1025,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.36636089,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"440","last_page":"443"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11196","display_name":"Non-Invasive Vital Sign Monitoring","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11324","display_name":"Spectroscopy Techniques in Biomedical and Chemical Research","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},{"id":"https://openalex.org/T11021","display_name":"ECG Monitoring and Analysis","score":0.9961000084877014,"subfield":{"id":"https://openalex.org/subfields/2705","display_name":"Cardiology and Cardiovascular Medicine"},"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/feature","display_name":"Feature (linguistics)","score":0.6884843707084656},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.6746240854263306},{"id":"https://openalex.org/keywords/monte-carlo-method","display_name":"Monte Carlo method","score":0.5983155965805054},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5391080975532532},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.529746413230896},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5144522190093994},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.45916303992271423},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.45318174362182617},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.3711671233177185},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.28487998247146606},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.25260186195373535},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.1654641330242157},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.07766154408454895}],"concepts":[{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.6884843707084656},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.6746240854263306},{"id":"https://openalex.org/C19499675","wikidata":"https://www.wikidata.org/wiki/Q232207","display_name":"Monte Carlo method","level":2,"score":0.5983155965805054},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5391080975532532},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.529746413230896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5144522190093994},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.45916303992271423},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45318174362182617},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.3711671233177185},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.28487998247146606},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.25260186195373535},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.1654641330242157},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.07766154408454895},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic57133.2023.10067013","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icaiic57133.2023.10067013","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5600000023841858,"id":"https://metadata.un.org/sdg/2","display_name":"Zero hunger"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2010683549","https://openalex.org/W2042121905","https://openalex.org/W2077702387","https://openalex.org/W2113331084","https://openalex.org/W2524401920","https://openalex.org/W2795539702","https://openalex.org/W2912383245","https://openalex.org/W3158885265","https://openalex.org/W3183462307","https://openalex.org/W4283645149","https://openalex.org/W4313581981"],"related_works":["https://openalex.org/W2393870460","https://openalex.org/W2254578859","https://openalex.org/W4284894156","https://openalex.org/W2161803855","https://openalex.org/W4390515809","https://openalex.org/W2348573424","https://openalex.org/W3110774753","https://openalex.org/W2134539662","https://openalex.org/W2003316325","https://openalex.org/W2982442175"],"abstract_inverted_index":{"Diabetes":[0],"has":[1,11],"recently":[2],"become":[3],"a":[4,101],"more":[5,48],"serious":[6],"disease.":[7],"Almost":[8],"every":[9],"family":[10],"at":[12],"least":[13],"one":[14],"diabetic.":[15],"Patients":[16],"have":[17],"to":[18],"regularly":[19],"monitor":[20],"their":[21],"blood":[22,44,65],"glucose":[23,45],"levels,":[24],"and":[25,38],"using":[26],"an":[27],"invasive":[28],"device":[29],"on":[30],"the":[31,53,91,95,98],"other":[32],"hand":[33],"can":[34],"be":[35],"really":[36],"painful":[37],"less":[39],"reliable.":[40],"This":[41],"is":[42],"because":[43],"levels":[46],"fluctuate":[47,59],"with":[49,84],"food":[50],"intake.":[51],"On":[52],"contrary,":[54],"HbA1c":[55,82],"level":[56],"does":[57],"not":[58],"as":[60,62],"much":[61],"that":[63],"of":[64,94,105],"glucose.":[66],"Therefore,":[67],"in":[68],"this":[69],"study,":[70],"XGBoost":[71],"calibration":[72],"considering":[73,90],"only":[74],"important":[75,92],"features":[76],"for":[77],"Monte-Carlo":[78],"simulation":[79],"based":[80],"noninvasive":[81],"estimation":[83],"PPG":[85],"signals":[86],"was":[87],"proposed.":[88],"After":[89],"13":[93],"45":[96],"features,":[97],"model":[99],"achieved":[100],"Pearson's":[102],"r":[103],"value":[104],"98.90%.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}