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Universal Glucose Models for Predicting Subcutaneous Glucose Concentration in Humans

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Outgoing claims: the papers this work cites, builds on, or argues with.

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Circadian rhythm genetics: from flies to mice to humans
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inferredcites →https://doi.org/10.1089/dia.2007.0256openalex-snapshot
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Glucose Concentration can be Predicted Ahead in Time From Continuous Glucose Monitoring Sensor Time-Series
inferredcites →https://doi.org/10.1109/tbme.2008.2005937openalex-snapshot
Predicting Subcutaneous Glucose Concentration in Humans: Data-Driven Glucose Modeling
inferredcites →https://doi.org/10.1114/1.1535411openalex-snapshot
Frequency Characterization of Blood Glucose Dynamics
inferredcites →https://doi.org/10.1177/193229680700100405openalex-snapshot
Predictive Monitoring for Improved Management of Glucose Levels
inferredcites →https://doi.org/10.1177/193229680800200322openalex-snapshot
Optimum Subcutaneous Glucose Sampling and Fourier Analysis of Continuous Glucose Monitors
inferredcites →https://doi.org/10.2307/1268794openalex-snapshot
The Analysis of Time Series: An Introduction
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Principal Component Analysis
inferredcites →https://doi.org/10.2337/diabetes.48.3.445openalex-snapshot
Is blood glucose predictable from previous values? A solicitation for data.
inferredcites →https://doi.org/10.2337/diabetes.51.2007.s245openalex-snapshot
Pulsatile Insulin Secretion: Detection, Regulation, and Role in Diabetes
inferredcites →https://doi.org/10.2337/diacare.28.5.1231openalex-snapshot
Continuous Glucose Monitoring

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Incoming claims: where this work appears in other papers’ reference lists and arguments.

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