{"id":"https://openalex.org/W7225312519","doi":"https://doi.org/10.3390/biomedinformatics6060104","title":"Short-Term Blood Glucose Prediction from Event-Driven Records Using Pharmacokinetic Feature Engineering in Insulin-Dependent Diabetes Mellitus (IDDM)","display_name":"Short-Term Blood Glucose Prediction from Event-Driven Records Using Pharmacokinetic Feature Engineering in Insulin-Dependent Diabetes Mellitus (IDDM)","publication_year":2026,"publication_date":"2026-11-05","ids":{"openalex":"https://openalex.org/W7225312519","doi":"https://doi.org/10.3390/biomedinformatics6060104"},"language":"en","primary_location":{"id":"doi:10.3390/biomedinformatics6060104","doi":"https://doi.org/10.3390/biomedinformatics6060104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/biomedinformatics6060104","pdf_url":null,"source":{"id":"https://openalex.org/S4210213753","display_name":"BioMedInformatics","issn_l":"2673-7426","issn":["2673-7426"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioMedInformatics","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://doi.org/10.3390/biomedinformatics6060104","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000126481","display_name":"Braulio J. Cruz","orcid":"https://orcid.org/0000-0003-3623-1954","observed_orcids":["https://orcid.org/0000-0003-3623-1954"]},"institutions":[{"id":"https://openalex.org/I23878562","display_name":"Autonomous University of Yucat\u00e1n","ror":"https://ror.org/032p1n739","country_code":"MX","type":"education","lineage":["https://openalex.org/I23878562"]}],"countries":["MX"],"is_corresponding":true,"raw_author_name":"Braulio Cruz","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Yucat\u00e1n, Av. Industrias no Contaminantes, M\u00e9rida 97302, Mexico"],"raw_orcid":"https://orcid.org/0000-0003-3623-1954","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Yucat\u00e1n, Av. Industrias no Contaminantes, M\u00e9rida 97302, Mexico","institution_ids":["https://openalex.org/I23878562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5049418373","display_name":"Iv\u00e1n Erick Casta\u00f1eda-Robles","orcid":"https://orcid.org/0000-0002-7610-5461","observed_orcids":["https://orcid.org/0000-0002-7610-5461"]},"institutions":[{"id":"https://openalex.org/I104854061","display_name":"Universidad Aut\u00f3noma del Estado de Hidalgo","ror":"https://ror.org/031f8kt38","country_code":"MX","type":"education","lineage":["https://openalex.org/I104854061"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Ivan Erick Casta\u00f1eda Robles","raw_affiliation_strings":["\u00c1rea Acad\u00e9mica de Ingenier\u00eda y Arquitectura, Universidad Aut\u00f3noma del Estado de Hidalgo, Carretera Pachuca-Tulancingo Km. 4.5, Mineral de la Reforma 42184, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-7610-5461","affiliations":[{"raw_affiliation_string":"\u00c1rea Acad\u00e9mica de Ingenier\u00eda y Arquitectura, Universidad Aut\u00f3noma del Estado de Hidalgo, Carretera Pachuca-Tulancingo Km. 4.5, Mineral de la Reforma 42184, Mexico","institution_ids":["https://openalex.org/I104854061"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087903272","display_name":"Luis J. Ricalde","orcid":"https://orcid.org/0000-0001-5824-1454","observed_orcids":["https://orcid.org/0000-0001-5824-1454"]},"institutions":[{"id":"https://openalex.org/I23878562","display_name":"Autonomous University of Yucat\u00e1n","ror":"https://ror.org/032p1n739","country_code":"MX","type":"education","lineage":["https://openalex.org/I23878562"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Luis J. Ricalde","raw_affiliation_strings":["Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Yucat\u00e1n, Av. Industrias no Contaminantes, M\u00e9rida 97302, Mexico"],"raw_orcid":"https://orcid.org/0000-0001-5824-1454","affiliations":[{"raw_affiliation_string":"Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Yucat\u00e1n, Av. Industrias no Contaminantes, M\u00e9rida 97302, Mexico","institution_ids":["https://openalex.org/I23878562"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003308335","display_name":"A.J. Cetina-Qui\u00f1ones","orcid":"https://orcid.org/0000-0002-1183-0232","observed_orcids":["https://orcid.org/0000-0002-1183-0232"]},"institutions":[{"id":"https://openalex.org/I18524911","display_name":"Instituto Tecnol\u00f3gico de M\u00e9rida","ror":"https://ror.org/01af24v42","country_code":"MX","type":"education","lineage":["https://openalex.org/I18524911"]},{"id":"https://openalex.org/I23878562","display_name":"Autonomous University of Yucat\u00e1n","ror":"https://ror.org/032p1n739","country_code":"MX","type":"education","lineage":["https://openalex.org/I23878562"]},{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Armando J. Cetina-Qui\u00f1ones","raw_affiliation_strings":["Departamento de Sistemas y Computaci\u00f3n, Instituto Tecnol\u00f3gico de M\u00e9rida, Tecnol\u00f3gico Nacional de M\u00e9xico, Av. Tecnol\u00f3gico km. 4.5 S/N, M\u00e9rida 97118, Mexico","Laboratorio de Modelado y Optimizaci\u00f3n de Procesos Energ\u00e9ticos y Ambientales, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Yucat\u00e1n, Av. Industrias no Contaminantes, M\u00e9rida 97302, Mexico"],"raw_orcid":"https://orcid.org/0000-0002-1183-0232","affiliations":[{"raw_affiliation_string":"Departamento de Sistemas y Computaci\u00f3n, Instituto Tecnol\u00f3gico de M\u00e9rida, Tecnol\u00f3gico Nacional de M\u00e9xico, Av. Tecnol\u00f3gico km. 4.5 S/N, M\u00e9rida 97118, Mexico","institution_ids":["https://openalex.org/I18524911","https://openalex.org/I4210090124"]},{"raw_affiliation_string":"Laboratorio de Modelado y Optimizaci\u00f3n de Procesos Energ\u00e9ticos y Ambientales, Facultad de Ingenier\u00eda, Universidad Aut\u00f3noma de Yucat\u00e1n, Av. Industrias no Contaminantes, M\u00e9rida 97302, Mexico","institution_ids":["https://openalex.org/I23878562"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5160756636","display_name":"Mar\u00eda Jim\u00e9nez-Ochoa","orcid":null,"observed_orcids":[]},"institutions":[{"id":"https://openalex.org/I18524911","display_name":"Instituto Tecnol\u00f3gico de M\u00e9rida","ror":"https://ror.org/01af24v42","country_code":"MX","type":"education","lineage":["https://openalex.org/I18524911"]},{"id":"https://openalex.org/I4210090124","display_name":"Tecnol\u00f3gico Nacional de M\u00e9xico","ror":"https://ror.org/00davry38","country_code":"MX","type":"government","lineage":["https://openalex.org/I1302736544","https://openalex.org/I4210090124","https://openalex.org/I4405258672"]}],"countries":["MX"],"is_corresponding":false,"raw_author_name":"Mar\u00eda Jim\u00e9nez-Ochoa","raw_affiliation_strings":["Departamento de Sistemas y Computaci\u00f3n, Instituto Tecnol\u00f3gico de M\u00e9rida, Tecnol\u00f3gico Nacional de M\u00e9xico, Av. Tecnol\u00f3gico km. 4.5 S/N, M\u00e9rida 97118, Mexico"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Departamento de Sistemas y Computaci\u00f3n, Instituto Tecnol\u00f3gico de M\u00e9rida, Tecnol\u00f3gico Nacional de M\u00e9xico, Av. Tecnol\u00f3gico km. 4.5 S/N, M\u00e9rida 97118, Mexico","institution_ids":["https://openalex.org/I18524911","https://openalex.org/I4210090124"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5000126481"],"corresponding_institution_ids":["https://openalex.org/I23878562"],"apc_list":{"value":1000,"currency":"CHF","value_usd":1207},"apc_paid":{"value":1000,"currency":"CHF","value_usd":1207},"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"6","issue":"6","first_page":"104","last_page":"104"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10560","display_name":"Diabetes Management and Research","score":0.9765999913215637,"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":0.9765999913215637,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.008500000461935997,"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/T11396","display_name":"Artificial Intelligence in Healthcare","score":0.005200000014156103,"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/type-1-diabetes","display_name":"type 1 diabetes","score":0.890999972820282},{"id":"https://openalex.org/keywords/insulin-pharmacokinetics","display_name":"insulin pharmacokinetics","score":0.7820000052452087},{"id":"https://openalex.org/keywords/carbohydrate-absorption","display_name":"carbohydrate absorption","score":0.7879999876022339},{"id":"https://openalex.org/keywords/clarke-error-grid","display_name":"Clarke error grid","score":0.7310000061988831},{"id":"https://openalex.org/keywords/virtual-patient-simulation","display_name":"virtual patient simulation","score":0.5649999976158142}],"concepts":[{"id":"https://openalex.org/C2986379492","wikidata":"https://www.wikidata.org/wiki/Q1638492","display_name":"Continuous glucose monitoring","level":4,"score":0.6348999738693237},{"id":"https://openalex.org/C169258074","wikidata":"https://www.wikidata.org/wiki/Q245748","display_name":"Random forest","level":2,"score":0.5931000113487244},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.5541999936103821},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5508999824523926},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.5088000297546387},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49070000648498535},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.4523000121116638},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4361000061035156},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42730000615119934},{"id":"https://openalex.org/C139945424","wikidata":"https://www.wikidata.org/wiki/Q1940696","display_name":"Mean squared error","level":2,"score":0.420199990272522},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.41780000925064087},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.4172999858856201},{"id":"https://openalex.org/C167085575","wikidata":"https://www.wikidata.org/wiki/Q6803654","display_name":"Mean squared prediction error","level":2,"score":0.384799987077713},{"id":"https://openalex.org/C70153297","wikidata":"https://www.wikidata.org/wiki/Q5591907","display_name":"Gradient boosting","level":3,"score":0.38190001249313354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.36399999260902405},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3465999960899353},{"id":"https://openalex.org/C175079658","wikidata":"https://www.wikidata.org/wiki/Q7312165","display_name":"Remote patient monitoring","level":2,"score":0.3285999894142151},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32359999418258667},{"id":"https://openalex.org/C2780485761","wikidata":"https://www.wikidata.org/wiki/Q275157","display_name":"Blood sugar","level":3,"score":0.3212999999523163},{"id":"https://openalex.org/C2779306644","wikidata":"https://www.wikidata.org/wiki/Q2002370","display_name":"Insulin","level":2,"score":0.3158000111579895},{"id":"https://openalex.org/C126322002","wikidata":"https://www.wikidata.org/wiki/Q11180","display_name":"Internal medicine","level":1,"score":0.3127000033855438},{"id":"https://openalex.org/C2779524580","wikidata":"https://www.wikidata.org/wiki/Q4927806","display_name":"Blood glucose monitoring","level":3,"score":0.3021000027656555},{"id":"https://openalex.org/C48921125","wikidata":"https://www.wikidata.org/wiki/Q10861030","display_name":"Linear regression","level":2,"score":0.2906000018119812},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C2778977261","wikidata":"https://www.wikidata.org/wiki/Q11358","display_name":"Carbohydrate","level":2,"score":0.2721000015735626},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.2696000039577484},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.26739999651908875},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.25999999046325684},{"id":"https://openalex.org/C45804977","wikidata":"https://www.wikidata.org/wiki/Q7239673","display_name":"Predictive modelling","level":2,"score":0.25699999928474426},{"id":"https://openalex.org/C16910744","wikidata":"https://www.wikidata.org/wiki/Q7705759","display_name":"Test data","level":2,"score":0.2551000118255615},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2551000118255615},{"id":"https://openalex.org/C2778827112","wikidata":"https://www.wikidata.org/wiki/Q22245680","display_name":"Feature engineering","level":3,"score":0.2533999979496002},{"id":"https://openalex.org/C71907059","wikidata":"https://www.wikidata.org/wiki/Q223323","display_name":"Root mean square","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3390/biomedinformatics6060104","doi":"https://doi.org/10.3390/biomedinformatics6060104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/biomedinformatics6060104","pdf_url":null,"source":{"id":"https://openalex.org/S4210213753","display_name":"BioMedInformatics","issn_l":"2673-7426","issn":["2673-7426"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioMedInformatics","raw_type":"journal-article"}],"best_oa_location":{"id":"doi:10.3390/biomedinformatics6060104","doi":"https://doi.org/10.3390/biomedinformatics6060104","is_oa":true,"landing_page_url":"https://doi.org/10.3390/biomedinformatics6060104","pdf_url":null,"source":{"id":"https://openalex.org/S4210213753","display_name":"BioMedInformatics","issn_l":"2673-7426","issn":["2673-7426"],"is_oa":true,"is_in_doaj":true,"is_core":true,"listed_in":["cwts-core","doaj","norway-1"],"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"BioMedInformatics","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being","score":0.9391000270843506}],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":31,"referenced_works":["https://openalex.org/W1964693647","https://openalex.org/W2041058086","https://openalex.org/W2099719924","https://openalex.org/W2101539208","https://openalex.org/W3040810687","https://openalex.org/W3111566846","https://openalex.org/W3123700022","https://openalex.org/W3175738155","https://openalex.org/W3216633527","https://openalex.org/W4226275330","https://openalex.org/W4282601654","https://openalex.org/W4309153207","https://openalex.org/W4312376281","https://openalex.org/W4366149848","https://openalex.org/W4387400318","https://openalex.org/W4387585322","https://openalex.org/W4390422072","https://openalex.org/W4393948657","https://openalex.org/W4400131282","https://openalex.org/W4402265119","https://openalex.org/W4403218345","https://openalex.org/W4407173084","https://openalex.org/W4408122056","https://openalex.org/W4408452479","https://openalex.org/W4411673861","https://openalex.org/W4412070132","https://openalex.org/W4416334091","https://openalex.org/W4416663904","https://openalex.org/W4417124451","https://openalex.org/W4417401062","https://openalex.org/W6926337895"],"related_works":["https://openalex.org/W7171566333","https://openalex.org/W3082207846","https://openalex.org/W2948102584","https://openalex.org/W2979827643","https://openalex.org/W4308198098","https://openalex.org/W2172695129","https://openalex.org/W3096537456","https://openalex.org/W2141573420","https://openalex.org/W7197019462","https://openalex.org/W3178157679"],"abstract_inverted_index":{"Background:":[0],"Short-term":[1],"blood":[2],"glucose":[3,9,41,63,67,94,186],"prediction":[4,42,187],"usually":[5],"relies":[6],"on":[7,124,173,194],"continuous":[8],"monitoring":[10],"(CGM)":[11],"data":[12],"sampled":[13],"every":[14],"5":[15],"min,":[16],"which":[17],"are":[18],"often":[19],"unavailable":[20],"in":[21,43,157],"outpatient":[22,62],"care.":[23],"This":[24],"study":[25],"developed":[26],"a":[27,77,99,135,180],"computational":[28],"workflow":[29,178],"that":[30,168],"transforms":[31],"event-driven":[32],"records":[33],"into":[34,76],"physiologically":[35],"informed":[36],"features":[37],"for":[38,185],"30":[39,56],"min":[40,57],"insulin-dependent":[44],"diabetes":[45],"mellitus":[46],"(IDDM).":[47],"Methods:":[48],"Records":[49],"of":[50,96,141,146,155,163],"300":[51],"virtual":[52],"patients":[53],"(30":[54],"days,":[55],"resolution),":[58],"simulated":[59],"from":[60],"real":[61,195],"measurements":[64],"and":[65,71,86,89,98,119,127,144,148,182],"including":[66],"readings,":[68],"insulin":[69,88],"doses,":[70],"carbohydrate":[72,90],"intake,":[73],"were":[74],"converted":[75],"seven-dimensional":[78],"representation.":[79,176],"Pharmacokinetic":[80],"decay":[81],"functions":[82],"encoded":[83],"active":[84],"rapid-":[85],"long-acting":[87],"absorption,":[91],"plus":[92],"the":[93,164,174],"rate":[95],"change":[97],"circular":[100],"time-of-day":[101],"encoding.":[102],"The":[103,161,177],"representation":[104],"was":[105],"evaluated":[106],"with":[107],"artificial":[108],"neural":[109],"network":[110],"(ANN),":[111],"support":[112],"vector":[113],"machine":[114],"(SVM),":[115],"random":[116],"forest":[117],"(RF),":[118],"gradient":[120],"boosting":[121],"(XGBoost)":[122],"regression":[123],"345,360":[125],"training":[126],"86,340":[128],"test":[129],"samples.":[130],"Results:":[131],"All":[132],"algorithms":[133,166],"reached":[134],"root":[136],"mean":[137],"square":[138],"error":[139],"(RMSE)":[140],"12.04\u201312.28":[142],"mg/dL":[143],"R2":[145],"0.9845\u20130.9851,":[147],"Clarke":[149],"Error":[150],"Grid":[151],"Analysis":[152],"placed":[153],"93.7\u201393.9%":[154],"predictions":[156],"Zone":[158],"A.":[159],"Conclusions:":[160],"convergence":[162],"four":[165],"suggests":[167],"predictive":[169],"performance":[170],"depends":[171],"mainly":[172],"feature":[175],"offers":[179],"reproducible":[181],"interpretable":[183],"basis":[184],"without":[188],"high-frequency":[189],"CGM":[190],"data,":[191],"pending":[192],"validation":[193],"patient":[196],"records.":[197]},"counts_by_year":[],"updated_date":"2026-11-07T11:25:07.637180","created_date":"2026-11-06T00:00:00"}
