Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus - Wikidata - awgldk - TriplyDB

Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus

Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus

http://www.wikidata.org/entity/Q30419605

about

Continuous Glucose Monitoring Sensors: Past, Present and Future Algorithmic Challenges.How Much Is Short-Term Glucose Prediction in Type 1 Diabetes Improved by Adding Insulin Delivery and Meal Content Information to CGM Data? A Proof-of-Concept Study A novel adaptive-weighted-average framework for blood glucose prediction.The mathematician's control toolbox for management of type 1 diabetes.Data Based Prediction of Blood Glucose Concentrations Using Evolutionary Methods.A review of personalized blood glucose prediction strategies for T1DM patients.Establishment of a confluent monolayer model with human primary trophoblast cells: novel insights into placental glucose transport.Evaluation of short-term predictors of glucose concentration in type 1 diabetes combining feature ranking with regression models.

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P2860

Predicting subcutaneous glucose concentration using a latent-variable-based statistical method for type 1 diabetes mellitus

http://www.wikidata.org/entity/Q30419605

description

2012 nî lūn-bûn

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2012 թուականի Մայիսին հրատարակուած գիտական յօդուած

@hyw

2012 թվականի մայիսին հրատարակված գիտական հոդված

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2012年の論文

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2012年論文

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2012年論文

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2012年論文

@zh-hk

2012年論文

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2012年論文

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2012年论文

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name

Predicting subcutaneous glucos ...... d for type 1 diabetes mellitus

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Predicting subcutaneous glucos ...... d for type 1 diabetes mellitus

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type

label

Predicting subcutaneous glucos ...... d for type 1 diabetes mellitus

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Predicting subcutaneous glucos ...... d for type 1 diabetes mellitus

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193229681200600317

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Journal of Diabetes Science and Technology

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Predicting subcutaneous glucos ...... d for type 1 diabetes mellitus

@en

P2093

Chunhui Zhao

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Dale E Seborg

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Howard C Zisser

http://www.w3.org/2001/XMLSchema#string

Lois Jovanovič

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P2860

Zone model predictive control: a strategy to minimize hyper- and hypoglycemic events.

Evaluating the accuracy of continuous glucose-monitoring sensors: continuous glucose-error grid analysis illustrated by TheraSense Freestyle Navigator data.

Hypoglycemia detection and prediction using continuous glucose monitoring-a study on hypoglycemic clamp data

Evaluating the clinical accuracy of two continuous glucose sensors using continuous glucose-error grid analysis.

Glucose Prediction Algorithms from Continuous Monitoring Data: Assessment of Accuracy via Continuous Glucose Error-Grid Analysis.

In silico preclinical trials: a proof of concept in closed-loop control of type 1 diabetes.

Is blood glucose predictable from previous values? A solicitation for data.

Practical issues in the identification of empirical models from simulated type 1 diabetes data.

Predicting subcutaneous glucose concentration in humans: data-driven glucose modeling.

Quality of life and diabetes.

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617-633

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scholarly article

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10.1177/193229681200600317

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3

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Francis J. Doyle III

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228438330

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22768893

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type-1 diabetes

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3440055

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