Research graph
References from Enhancing glucose level prediction of ICU patients through hierarchical modeling of irregular time-series. Local targets link to admitted publications; unresolved targets remain external evidence.
Understanding decision making in critical care
10.3121/cmr.2015.1289 · 2015 · External reference
ICU admittance by a rapid response team versus conventional admittance, characteristics, and outcome
10.1097/ccm.0b013e3182711b94 · 2013 · External reference
A prospective controlled trial of the effect of a multi-faceted intervention on early recognition and intervention in deteriorating hospital patients
10.1016/j.resuscitation.2010.03.001 · 2010 · External reference
Signatures of subacute potentially catastrophic illness in the intensive care unit: model development and validation
10.1097/ccm.0000000000001738 · 2016 · External reference
10.1109/cic.2002.1166854
10.1109/cic.2002.1166854 · 2002 · External reference
Automatic generation of textual summaries from neonatal intensive care data
10.1016/j.artint.2008.12.002 · 2009 · External reference
Early prediction of circulatory failure in the intensive care unit using machine learning
10.1038/s41591-020-0789-4 · 2020 · External reference
Machine learning models for inpatient glucose prediction
10.1007/s11892-022-01477-w · 2022 · External reference
Machine learning techniques for hypoglycemia prediction: trends and challenges
10.3390/s21020546 · 2021 · External reference
Hypoglycaemia detection and prediction techniques: a systematic review on the latest developments
10.1002/dmrr.3449 · 2021 · External reference
Spontaneous and iatrogenic hypoglycaemia related to mortality in the ICU
10.1016/j.diabet.2019.02.001 · 2019 · External reference
The management of type 1 diabetes in adults. a consensus report by the American diabetes association (ADA) and the European association for the study of diabetes (EASD)
10.2337/dci21-0043 · 2021 · External reference
Epidemiology of type 2 diabetes – global burden of disease and forecasted trends
10.2991/jegh.k.191028.001 · 2020 · External reference
Unresolved reference
2000 · External reference
Hypoglycemia in patients with type 2 diabetes mellitus
10.1001/archinte.161.13.1653 · 2001 · External reference
Machine learning models for nocturnal hypoglycemia prediction in hospitalized patients with type 1 diabetes
10.3390/jpm12081262 · 2022 · External reference
Hyperglycemia as a predictor for adverse outcome in ICU patients with and without diabetes
10.1177/1932296817721937 · 2017 · External reference
Development and validation of a machine learning model for classification of next glucose measurement in hospitalized patients
2022 · External reference
10.1609/aaai.v32i1.11618
10.1609/aaai.v32i1.11618 · External reference
Data-based algorithms and models using diabetics real data for blood glucose and hypoglycaemia prediction – a systematic literature review
10.1016/j.artmed.2021.102120 · 2021 · External reference
Data-driven modeling and prediction of blood glucose dynamics: machine learning applications in type 1 diabetes
10.1016/j.artmed.2019.07.007 · 2019 · External reference
A review of personalized blood glucose prediction strategies for T1DM patients
10.1002/cnm.2833 · 2017 · External reference
Handling missing values in healthcare data: a systematic review of deep learning-based imputation techniques
10.1016/j.artmed.2023.102587 · 2023 · External reference
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Multitask learning and benchmarking with clinical time series data
10.1038/s41597-019-0103-9 · 2019 · External reference
10.1145/2623330.2623754
10.1145/2623330.2623754 · 2014 · External reference
Clinical time series prediction: toward a hierarchical dynamical system framework
10.1016/j.artmed.2014.10.005 · 2015 · External reference
10.1145/3097983.3097997
10.1145/3097983.3097997 · 2017 · External reference
10.1145/3219819.3219904
10.1145/3219819.3219904 · 2018 · External reference
Self-supervised transformer for sparse and irregularly sampled multivariate clinical time-series
10.1145/3516367 · 2022 · External reference
10.1609/aaai.v37i9.26317
10.1609/aaai.v37i9.26317 · External reference
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2024 · External reference
10.1038/sdata.2018.178
10.1038/sdata.2018.178 · External reference
10.1038/s41591-020-1041-y
10.1038/s41591-020-1041-y · External reference
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An attention-based multi-representational fusion method for social-media-based text classification
10.3390/info13040171 · 2022 · External reference
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2021 · External reference
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A survey on imbalanced learning: latest research, applications and future directions
10.1007/s10462-024-10759-6 · 2024 · External reference
The class imbalance problem in deep learning
10.1007/s10994-022-06268-8 · 2024 · External reference
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E-CatBoost: an efficient machine learning framework for predicting ICU mortality using the eICU collaborative research database
10.1371/journal.pone.0262895 · 2022 · External reference
Acute physiology and chronic health evaluation (APACHE) IV: hospital mortality assessment for today's critically ill patients
10.1097/01.ccm.0000215112.84523.f0 · 2006 · External reference
Time series prediction using deep learning methods in healthcare
10.1145/3531326 · 2023 · External reference
An overview of clinical decision support systems: benefits, risks, and strategies for success, npj
2020 · External reference
M3T-LM: a multi-modal multi-task learning model for jointly predicting patient length of stay and mortality
10.1016/j.compbiomed.2024.109237 · 2024 · External reference
10.1093/jamia/ocaa053
10.1093/jamia/ocaa053 · External reference
