{"id":"https://openalex.org/W4392251501","doi":"https://doi.org/10.1109/jbhi.2024.3371108","title":"Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction","display_name":"Learning Difference Equations With Structured Grammatical Evolution for Postprandial Glycaemia Prediction","publication_year":2024,"publication_date":"2024-02-28","ids":{"openalex":"https://openalex.org/W4392251501","doi":"https://doi.org/10.1109/jbhi.2024.3371108","pmid":"https://pubmed.ncbi.nlm.nih.gov/38416612"},"language":"en","primary_location":{"id":"doi:10.1109/jbhi.2024.3371108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3371108","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10452805.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10452805.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5076469630","display_name":"Daniel Parra","orcid":"https://orcid.org/0000-0001-7460-7401"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":true,"raw_author_name":"Daniel Parra","raw_affiliation_strings":["Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053396488","display_name":"David Joedicke","orcid":"https://orcid.org/0000-0002-4970-2324"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"David Joedicke","raw_affiliation_strings":["University of Applied Sciences of Upper Austria, Hagenberg, Austria"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences of Upper Austria, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101456216","display_name":"J. Manuel Velasco","orcid":"https://orcid.org/0000-0001-5993-2521"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Manuel Velasco","raw_affiliation_strings":["Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019952173","display_name":"Gabriel Kronberger","orcid":"https://orcid.org/0000-0002-3012-3189"},"institutions":[{"id":"https://openalex.org/I4210136249","display_name":"University of Applied Sciences Upper Austria","ror":"https://ror.org/03jqp6d56","country_code":"AT","type":"education","lineage":["https://openalex.org/I4210136249"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Gabriel Kronberger","raw_affiliation_strings":["University of Applied Sciences of Upper Austria, Hagenberg, Austria"],"affiliations":[{"raw_affiliation_string":"University of Applied Sciences of Upper Austria, Hagenberg, Austria","institution_ids":["https://openalex.org/I4210136249"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085569944","display_name":"J. Ignacio Hidalgo","orcid":"https://orcid.org/0000-0002-3046-6368"},"institutions":[{"id":"https://openalex.org/I121748325","display_name":"Universidad Complutense de Madrid","ror":"https://ror.org/02p0gd045","country_code":"ES","type":"education","lineage":["https://openalex.org/I121748325"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"J. Ignacio Hidalgo","raw_affiliation_strings":["Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain"],"affiliations":[{"raw_affiliation_string":"Department of Computer Architecture and Automatics, Universidad Complutense de Madrid, Madrid, Spain","institution_ids":["https://openalex.org/I121748325"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5076469630"],"corresponding_institution_ids":["https://openalex.org/I121748325"],"apc_list":null,"apc_paid":null,"fwci":2.5383,"has_fulltext":true,"cited_by_count":7,"citation_normalized_percentile":{"value":0.90075583,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"28","issue":"5","first_page":"3067","last_page":"3078"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9811000227928162,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9811000227928162,"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/T10320","display_name":"Neural Networks and Applications","score":0.9416999816894531,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9243999719619751,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/postprandial","display_name":"Postprandial","score":0.6517833471298218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6136612296104431},{"id":"https://openalex.org/keywords/grammatical-evolution","display_name":"Grammatical evolution","score":0.5821890234947205},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5470869541168213},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.4793016016483307},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32166391611099243},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.22966593503952026},{"id":"https://openalex.org/keywords/genetic-programming","display_name":"Genetic programming","score":0.22307196259498596},{"id":"https://openalex.org/keywords/diabetes-mellitus","display_name":"Diabetes mellitus","score":0.19308853149414062},{"id":"https://openalex.org/keywords/endocrinology","display_name":"Endocrinology","score":0.08673739433288574}],"concepts":[{"id":"https://openalex.org/C2778199505","wikidata":"https://www.wikidata.org/wiki/Q2992990","display_name":"Postprandial","level":3,"score":0.6517833471298218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6136612296104431},{"id":"https://openalex.org/C10906938","wikidata":"https://www.wikidata.org/wiki/Q5593687","display_name":"Grammatical evolution","level":3,"score":0.5821890234947205},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5470869541168213},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.4793016016483307},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32166391611099243},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.22966593503952026},{"id":"https://openalex.org/C110332635","wikidata":"https://www.wikidata.org/wiki/Q629498","display_name":"Genetic programming","level":2,"score":0.22307196259498596},{"id":"https://openalex.org/C555293320","wikidata":"https://www.wikidata.org/wiki/Q12206","display_name":"Diabetes mellitus","level":2,"score":0.19308853149414062},{"id":"https://openalex.org/C134018914","wikidata":"https://www.wikidata.org/wiki/Q162606","display_name":"Endocrinology","level":1,"score":0.08673739433288574}],"mesh":[{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000069550","descriptor_name":"Machine Learning","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":true},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D003920","descriptor_name":"Diabetes Mellitus","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019518","descriptor_name":"Postprandial Period","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D019518","descriptor_name":"Postprandial Period","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D019518","descriptor_name":"Postprandial Period","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D019518","descriptor_name":"Postprandial Period","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true},{"descriptor_ui":"D019518","descriptor_name":"Postprandial Period","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/jbhi.2024.3371108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3371108","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10452805.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},{"id":"pmid:38416612","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38416612","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE journal of biomedical and health informatics","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/jbhi.2024.3371108","is_oa":true,"landing_page_url":"https://doi.org/10.1109/jbhi.2024.3371108","pdf_url":"https://ieeexplore.ieee.org/ielx7/6221020/6363502/10452805.pdf","source":{"id":"https://openalex.org/S2495854775","display_name":"IEEE Journal of Biomedical and Health Informatics","issn_l":"2168-2194","issn":["2168-2194","2168-2208"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Journal of Biomedical and Health Informatics","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.47999998927116394,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4392251501.pdf","grobid_xml":"https://content.openalex.org/works/W4392251501.grobid-xml"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W121066256","https://openalex.org/W1982063015","https://openalex.org/W2044123820","https://openalex.org/W2090077024","https://openalex.org/W2099719924","https://openalex.org/W2111352982","https://openalex.org/W2116146322","https://openalex.org/W2125916155","https://openalex.org/W2239232218","https://openalex.org/W2409376265","https://openalex.org/W2417863416","https://openalex.org/W2596287943","https://openalex.org/W2746518759","https://openalex.org/W2754879033","https://openalex.org/W2766101599","https://openalex.org/W2798474464","https://openalex.org/W2809151546","https://openalex.org/W2810846480","https://openalex.org/W2890653340","https://openalex.org/W2910336590","https://openalex.org/W2963123914","https://openalex.org/W2963922828","https://openalex.org/W2979827643","https://openalex.org/W2980234472","https://openalex.org/W3089652905","https://openalex.org/W3138819813","https://openalex.org/W3167277098","https://openalex.org/W3174752098","https://openalex.org/W3193136504","https://openalex.org/W3214772314","https://openalex.org/W3217311410","https://openalex.org/W4234158367","https://openalex.org/W4286781802","https://openalex.org/W6641349921","https://openalex.org/W6728758701","https://openalex.org/W6743287083","https://openalex.org/W6754138717","https://openalex.org/W6784018277","https://openalex.org/W6797912133","https://openalex.org/W6799815036","https://openalex.org/W6801088084","https://openalex.org/W6803681654"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W4394896187","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W3107602296","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4283697347"],"abstract_inverted_index":{"People":[0],"with":[1,38,87],"diabetes":[2,233],"must":[3],"carefully":[4],"monitor":[5],"their":[6,66],"blood":[7,121],"glucose":[8,14,75,101,122,230],"levels,":[9],"especially":[10],"after":[11,107,142],"eating.":[12],"Blood":[13],"management":[15,234],"requires":[16],"a":[17,73,88,226],"proper":[18],"combination":[19],"of":[20,68,205],"food":[21],"intake":[22],"and":[23,43,116,181,184,208,239],"insulin":[24],"boluses.":[25],"Glucose":[26],"prediction":[27,76,223,231],"is":[28],"vital":[29],"to":[30,65,98,104,151,229],"avoid":[31],"dangerous":[32],"post-meal":[33],"complications":[34],"in":[35,146,232],"treating":[36],"individuals":[37],"diabetes.":[39],"Although":[40],"traditional":[41],"methods,":[42],"also":[44],"artificial":[45,209],"neural":[46,210],"networks,":[47],"have":[48],"shown":[49],"high":[50],"accuracy":[51,198],"rates,":[52],"sometimes":[53],"they":[54],"are":[55,133],"not":[56],"suitable":[57],"for":[58,124,135,138],"developing":[59],"personalised":[60],"treatments":[61],"by":[62,83],"physicians":[63],"due":[64],"lack":[67],"interpretability.":[69],"This":[70],"study":[71],"proposes":[72],"novel":[74],"method":[77],"emphasising":[78],"interpretability:":[79],"Interpretable":[80],"Sparse":[81],"Identification":[82],"Grammatical":[84],"Evolution.":[85],"Combined":[86],"previous":[89],"clustering":[90,118],"stage,":[91],"our":[92,193,216],"approach":[93,228],"provides":[94,218],"finite":[95],"difference":[96],"equations":[97],"predict":[99],"postprandial":[100],"levels":[102],"up":[103,150],"two":[105],"hours":[106],"meals.":[108],"We":[109],"divide":[110],"the":[111,125,129,139],"dataset":[112],"into":[113],"four-hour":[114],"segments":[115],"perform":[117],"based":[119,162],"on":[120,163,187],"values":[123],"two-hour":[126,140],"window":[127],"before":[128],"meal.":[130],"Prediction":[131,158],"models":[132],"trained":[134],"each":[136],"cluster":[137],"windows":[141],"meals,":[143],"allowing":[144],"predictions":[145,153,172,186],"15-minute":[147],"steps,":[148],"yielding":[149],"eight":[152],"at":[154],"different":[155],"time":[156],"horizons.":[157],"safety":[159],"was":[160],"evaluated":[161],"Parkes":[164],"Error":[165],"Grid":[166],"regions.":[167],"Our":[168],"technique":[169],"produces":[170],"safe":[171],"through":[173],"explainable":[174],"expressions,":[175],"avoiding":[176],"zones":[177],"D":[178],"(0.2%":[179],"average)":[180],"E":[182],"(0%)":[183],"reducing":[185],"zone":[188],"C":[189],"(6.2%).":[190],"In":[191],"addition,":[192],"proposal":[194,217],"has":[195],"slightly":[196],"better":[197],"than":[199],"other":[200],"techniques,":[201],"including":[202],"sparse":[203],"identification":[204],"non-linear":[206],"dynamics":[207],"networks.":[211],"The":[212],"results":[213],"demonstrate":[214],"that":[215,235],"interpretable":[219],"solutions":[220],"without":[221],"sacrificing":[222],"accuracy,":[224,237],"offering":[225],"promising":[227],"balances":[236],"interpretability,":[238],"computational":[240],"efficiency.":[241]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":4},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
