{"id":"https://openalex.org/W2113362739","doi":"https://doi.org/10.1109/tbme.2009.2035517","title":"Blood Glucose Prediction Using Stochastic Modeling in Neonatal Intensive Care","display_name":"Blood Glucose Prediction Using Stochastic Modeling in Neonatal Intensive Care","publication_year":2009,"publication_date":"2009-11-03","ids":{"openalex":"https://openalex.org/W2113362739","doi":"https://doi.org/10.1109/tbme.2009.2035517","mag":"2113362739","pmid":"https://pubmed.ncbi.nlm.nih.gov/19884072"},"language":"en","primary_location":{"id":"doi:10.1109/tbme.2009.2035517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2035517","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5007263806","display_name":"Aaron J. Le Compte","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":true,"raw_author_name":"A.J. Le Compte","raw_affiliation_strings":["Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. ajc190@student.canterbury.ac.nz","Dept. of Mech. Eng, Univ. of Canterbury, Christchurch, , New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand. ajc190@student.canterbury.ac.nz","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Dept. of Mech. Eng, Univ. of Canterbury, Christchurch, , New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017151906","display_name":"D.S. Lee","orcid":null},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"D.S. Lee","raw_affiliation_strings":["Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand","Dept. of Math. & Stat., Univ. of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Mathematics and Statistics, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Dept. of Math. & Stat., Univ. of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053114029","display_name":"J. Geoffrey Chase","orcid":"https://orcid.org/0000-0001-9989-4849"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"J.G. Chase","raw_affiliation_strings":["Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand","Dept. of Math. & Stat., Univ. of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Dept. of Math. & Stat., Univ. of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101418936","display_name":"Jessica Lin","orcid":"https://orcid.org/0000-0001-7496-9381"},"institutions":[{"id":"https://openalex.org/I185492890","display_name":"University of Canterbury","ror":"https://ror.org/03y7q9t39","country_code":"NZ","type":"education","lineage":["https://openalex.org/I185492890"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"J. Lin","raw_affiliation_strings":["Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand","Dept. of Math. & Stat., Univ. of Canterbury, Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Mechanical Engineering, University of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]},{"raw_affiliation_string":"Dept. of Math. & Stat., Univ. of Canterbury, Christchurch, New Zealand","institution_ids":["https://openalex.org/I185492890"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110152218","display_name":"A. Lynn","orcid":null},"institutions":[{"id":"https://openalex.org/I2802773633","display_name":"Christchurch Hospital","ror":"https://ror.org/003nvpm64","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2802773633","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"A. Lynn","raw_affiliation_strings":["Neonatal Department, Christchurch Women's Hospital, Christchurch, New Zealand","Neonatal Dept., Christchurch Women's Hosp., Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"Neonatal Department, Christchurch Women's Hospital, Christchurch, New Zealand","institution_ids":["https://openalex.org/I2802773633"]},{"raw_affiliation_string":"Neonatal Dept., Christchurch Women's Hosp., Christchurch, New Zealand","institution_ids":["https://openalex.org/I2802773633"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108508998","display_name":"G.M. Shaw","orcid":null},"institutions":[{"id":"https://openalex.org/I2802773633","display_name":"Christchurch Hospital","ror":"https://ror.org/003nvpm64","country_code":"NZ","type":"healthcare","lineage":["https://openalex.org/I2802773633","https://openalex.org/I4405259026"]}],"countries":["NZ"],"is_corresponding":false,"raw_author_name":"G.M. Shaw","raw_affiliation_strings":["Department of Intensive Care, Christchurch Hospital, Christchurch, New Zealand","Dept. of Intensive Care, Christchurch Hosp., Christchurch, New Zealand"],"affiliations":[{"raw_affiliation_string":"Department of Intensive Care, Christchurch Hospital, Christchurch, New Zealand","institution_ids":["https://openalex.org/I2802773633"]},{"raw_affiliation_string":"Dept. of Intensive Care, Christchurch Hosp., Christchurch, New Zealand","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5007263806"],"corresponding_institution_ids":["https://openalex.org/I185492890"],"apc_list":null,"apc_paid":null,"fwci":3.2359,"has_fulltext":false,"cited_by_count":68,"citation_normalized_percentile":{"value":0.92491201,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":"57","issue":"3","first_page":"509","last_page":"518"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11623","display_name":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","score":0.9998000264167786,"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/T11623","display_name":"Hyperglycemia and glycemic control in critically ill and hospitalized patients","score":0.9998000264167786,"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/T10560","display_name":"Diabetes Management and Research","score":0.9991999864578247,"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/T10839","display_name":"Pancreatic function and diabetes","score":0.9742000102996826,"subfield":{"id":"https://openalex.org/subfields/2746","display_name":"Surgery"},"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.49365267157554626},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.464760422706604},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4356161653995514},{"id":"https://openalex.org/keywords/intensive-care","display_name":"Intensive care","score":0.430670827627182},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3908165991306305},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.34886565804481506},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.288340300321579},{"id":"https://openalex.org/keywords/medicine","display_name":"Medicine","score":0.2546577453613281},{"id":"https://openalex.org/keywords/intensive-care-medicine","display_name":"Intensive care medicine","score":0.11549067497253418}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49365267157554626},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.464760422706604},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4356161653995514},{"id":"https://openalex.org/C2987404301","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care","level":2,"score":0.430670827627182},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3908165991306305},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.34886565804481506},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.288340300321579},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.2546577453613281},{"id":"https://openalex.org/C177713679","wikidata":"https://www.wikidata.org/wiki/Q679690","display_name":"Intensive care medicine","level":1,"score":0.11549067497253418},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[{"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":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","is_major_topic":false},{"descriptor_ui":"D001786","descriptor_name":"Blood Glucose","qualifier_ui":"Q000032","qualifier_name":"analysis","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":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D007231","descriptor_name":"Infant, Newborn","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D007234","descriptor_name":"Infant, Premature","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D007234","descriptor_name":"Infant, Premature","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D007234","descriptor_name":"Infant, Premature","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D008954","descriptor_name":"Models, Biological","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011237","descriptor_name":"Predictive Value of Tests","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D013269","descriptor_name":"Stochastic Processes","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015331","descriptor_name":"Cohort Studies","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015931","descriptor_name":"Intensive Care, Neonatal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015931","descriptor_name":"Intensive Care, Neonatal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D015931","descriptor_name":"Intensive Care, Neonatal","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019102","descriptor_name":"Infant, Very Low Birth Weight","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D019102","descriptor_name":"Infant, Very Low Birth Weight","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false},{"descriptor_ui":"D019102","descriptor_name":"Infant, Very Low Birth Weight","qualifier_ui":"Q000097","qualifier_name":"blood","is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tbme.2009.2035517","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tbme.2009.2035517","pdf_url":null,"source":{"id":"https://openalex.org/S5240358","display_name":"IEEE Transactions on Biomedical Engineering","issn_l":"0018-9294","issn":["0018-9294","1558-2531"],"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 Transactions on Biomedical Engineering","raw_type":"journal-article"},{"id":"pmid:19884072","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/19884072","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 transactions on bio-medical engineering","raw_type":null},{"id":"pmh:oai:ir.canterbury.ac.nz:10092/5139","is_oa":false,"landing_page_url":"http://hdl.handle.net/10092/5139","pdf_url":null,"source":{"id":"https://openalex.org/S4306401103","display_name":"University of Canterbury Research Repository (University of Canterbury)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I185492890","host_organization_name":"University of Canterbury","host_organization_lineage":["https://openalex.org/I185492890"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Journal Article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W99474770","https://openalex.org/W276532151","https://openalex.org/W1509542764","https://openalex.org/W1648623379","https://openalex.org/W1751068396","https://openalex.org/W1912509621","https://openalex.org/W1966869208","https://openalex.org/W1969379046","https://openalex.org/W1978031091","https://openalex.org/W1978864042","https://openalex.org/W1981325971","https://openalex.org/W1984869129","https://openalex.org/W1989220861","https://openalex.org/W1995127855","https://openalex.org/W1995391595","https://openalex.org/W1997803551","https://openalex.org/W2001875222","https://openalex.org/W2002123666","https://openalex.org/W2007232806","https://openalex.org/W2007523516","https://openalex.org/W2009649501","https://openalex.org/W2014633181","https://openalex.org/W2018220834","https://openalex.org/W2019553648","https://openalex.org/W2038200580","https://openalex.org/W2039803941","https://openalex.org/W2042723121","https://openalex.org/W2044128839","https://openalex.org/W2050228615","https://openalex.org/W2056162428","https://openalex.org/W2056163886","https://openalex.org/W2057997451","https://openalex.org/W2061412350","https://openalex.org/W2068849252","https://openalex.org/W2075123887","https://openalex.org/W2077463188","https://openalex.org/W2077636656","https://openalex.org/W2081717796","https://openalex.org/W2085404203","https://openalex.org/W2089264242","https://openalex.org/W2092417901","https://openalex.org/W2095760998","https://openalex.org/W2104272943","https://openalex.org/W2109401644","https://openalex.org/W2110223477","https://openalex.org/W2110787671","https://openalex.org/W2123876634","https://openalex.org/W2125840757","https://openalex.org/W2134653992","https://openalex.org/W2160711350","https://openalex.org/W2211491460","https://openalex.org/W2253578111","https://openalex.org/W2335302859","https://openalex.org/W4212824311","https://openalex.org/W4299948519","https://openalex.org/W4388290870","https://openalex.org/W6675567917","https://openalex.org/W6691556773"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W4306674287","https://openalex.org/W3046775127","https://openalex.org/W3107602296","https://openalex.org/W3170094116","https://openalex.org/W4386462264","https://openalex.org/W4313488044","https://openalex.org/W3209574120","https://openalex.org/W4312192474","https://openalex.org/W4210805261"],"abstract_inverted_index":{"Hyperglycemia":[0],"is":[1,16,91,170],"a":[2,47,67,188,220,232],"common":[3],"metabolic":[4],"problem":[5],"in":[6,13,31,143,178,203,241],"premature,":[7],"low-birth-weight":[8],"infants.":[9],"Blood":[10],"glucose":[11,43,63],"homeostasis":[12],"this":[14],"group":[15],"often":[17],"disturbed":[18],"by":[19,65],"immaturity":[20],"of":[21,28,41,49,71,76,89,96,104,132,147,155,192,212,222,238],"endogenous":[22],"regulatory":[23,44],"systems":[24],"and":[25,79,130,153,162,177,201,206],"the":[26,38,42,54,74,133,140,144,160,174,179,184,193,204,228,242],"stress":[27],"their":[29],"condition":[30],"intensive":[32],"care.":[33],"A":[34,85,126,209],"dynamic":[35],"model":[36,88,129,150,211,237],"capturing":[37],"fundamental":[39],"dynamics":[40,240],"system":[45],"provides":[46,231],"measure":[48],"insulin":[50],"sensitivity":[51],"(S(I)).":[52],"Forecasting":[53],"most":[55],"probable":[56],"future":[57],"S(I)":[58,90,99,123,157,213,239],"can":[59,218],"significantly":[60],"enhance":[61],"real-time":[62,225],"control":[64],"providing":[66],"clinically":[68],"validated/proven":[69],"level":[70],"confidence":[72],"on":[73,173],"outcome":[75],"an":[77],"intervention,":[78],"thus,":[80],"increased":[81],"safety":[82,223],"against":[83],"hypoglycemia.":[84],"2-D":[86],"kernel":[87],"fitted":[92],"to":[93,113,121,138,183,190,224],"3567":[94],"h":[95],"identified,":[97],"time-varying":[98],"from":[100],"retrospective":[101],"clinical":[102],"data":[103],"25":[105],"neonatal":[106],"patients":[107],"with":[108,199],"birth":[109],"gestational":[110],"age":[111],"23":[112],"28.9":[114],"weeks.":[115],"Conditional":[116],"probability":[117,124,164],"estimates":[118],"are":[119,136],"used":[120,137],"determine":[122],"intervals.":[125,166,208],"lag-2":[127,180],"stochastic":[128,210,236],"adjustments":[131],"variance":[134,185,229],"estimator":[135,186,230],"explore":[139],"bias-variance":[141],"tradeoff":[142],"hour-to-hour":[145],"variation":[146],"S(I).":[148],"The":[149],"captured":[151],"62.6%":[152],"93.4%":[154],"in-sample":[156],"predictions":[158],"within":[159],"(25th-75th)":[161,205],"(5th-95th)":[163,207],"forecast":[165],"This":[167],"overconservative":[168],"result":[169],"also":[171],"present":[172],"cross-validation":[175],"cohorts":[176],"model.":[181],"Adjustments":[182],"found":[187],"reduction":[189],"10%-50%":[191],"original":[194],"value":[195],"provided":[196,214],"optimal":[197],"coverage":[198],"54.7%":[200],"90.9%":[202],"conservative":[215],"forecasts,":[216],"which":[217],"add":[219],"layer":[221],"control.":[226],"Adjusting":[227],"more":[233],"accurate,":[234],"cohort-specific":[235],"neonate.":[243]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":6},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":5},{"year":2019,"cited_by_count":4},{"year":2018,"cited_by_count":5},{"year":2017,"cited_by_count":5},{"year":2016,"cited_by_count":8},{"year":2014,"cited_by_count":2},{"year":2013,"cited_by_count":3},{"year":2012,"cited_by_count":7}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
