Evaluation of personalized model fits.

Figshare2023-02-15 更新2026-04-28 收录

血糖预测

个性化医疗模型评估

数据链接：

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Unexplained glucose excursions are excluded and results for the full 24h period are given in brackets in these cases.

创建时间：

2023-02-15

Continuous glucose measurement for inpatient with type 2 diabetes

糖尿病监测

血糖预测

This dataset includes data from 43 hospitalized patients with type 2 diabetes mellitus. Dexcom G5 and Dexcom G6 mobile continuous glucose measurement (CGM) devices were used to measure continuous bloo

DataCite Commons2023-07-25 更新120

Model characteristics including default variable importance of a random forest model based on only bio-clinical features included in the combined model.

血糖预测

生物临床特征建模

Hyperparameter names correspond to parameter names from the H2O package in R. Training and test evaluations as the mean squared error, root mean squared error, mean absolute error, root mean squared l

Figshare2020-09-18 更新20

Summary of CGM data metrics for real patients.

血糖预测

个性化胰岛素治疗

Effective management of postprandial glycemic excursions in type 1 diabetes requires accurate prediction of adverse events and personalized insulin adjustments informed by interpretable models. This s

Figshare2025-09-16 更新00

Features ranked by importance in random forest models predicting permuted postprandial plasma glucose responses.

血糖预测

特征选择

Final results of feature selection from 200 Boruta runs each performing a top-down search for relevant features by comparing original features’ importance with importance achievable at random using ra

NIAID Data Ecosystem30

Additional file 2 of Effects of personalized diets by prediction of glycemic responses on glycemic control and metabolic health in newly diagnosed T2DM: a randomized dietary intervention pilot trial

个性化营养

血糖预测

Additional file 2. List of features used for predictions of personal postprandial response.

Figshare2022-02-09 更新10