ArticleAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference2012
Data assimilation of glucose dynamics for use in the intensive care unit.
Article in Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03911687 (Communicating Narrative Concerns Entered by RNs), which is not on this map. Cited by 10 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Communicating Narrative Concerns Entered by RNs (CONCERN) Clinical Decision Support (CDS) System
Who cites it
10 citing papers in PubMed, 14 citations in OpenAlex.
- Reconstructing ventricular cardiomyocyte dynamics and parameter estimation using data assimilation.Biophysical journal · 2024Article
- A Personalized Dosing Strategy Optimization for Diabetes Management: Applications to Gestational Diabetes Mellitus.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2024Article
- A simple modeling framework for prediction in the human glucose-insulin system.Chaos (Woodbury, N.Y.) · 2023Article
- A data-assimilation approach to predict population dynamics during epithelial-mesenchymal transition.Biophysical journal · 2022Article
- New PK/PD model directly links diabetes drug dose to blood glucose level for personalized care.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2022Article
- Cell Fate Forecasting: A Data-Assimilation Approach to Predict Epithelial-Mesenchymal Transition.Biophysical journal · 2020Article
- The parameter Houlihan: A solution to high-throughput identifiability indeterminacy for brutally ill-posed problems.Mathematical biosciences · 2019Article
- Mechanistic machine learning: how data assimilation leverages physiologic knowledge using Bayesian inference to forecast the future, infer the present, and phenotype.Journal of the American Medical Informatics Association : JAMIA · 2018Article
- Dynamical phenotyping: using temporal analysis of clinically collected physiologic data to stratify populations.PloS one · 2014Article
- Population physiology: leveraging electronic health record data to understand human endocrine dynamics.PloS one · 2012Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors at 2 institutions in 1 country.
Funding
Abstract
We know much about the glucose regulatory system, yet the application of this knowledge is limited because simultaneous measurements of insulin and glucose are difficult to obtain. We present a data assimilation framework for combining sparse measurements of the glucose regulatory system, available in the intensive care unit setting, with a nonlinear computational model to estimate unmeasured variables and unknown parameters. We also demonstrate a method for choosing the best variables for measurement. We anticipate that this framework will improve glucose maintenance therapies and shed light on the underlying biophysical process.
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Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.