Relative error of machine learning models that predict post load glycemia based on different maternal variables.</p
Performance of the machine-learned model when propensity matching based on age and gender.</p
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
Clinical significance of differences in glucose levels between reference and post-intervention value...
Non-error rate and relative error of machine learning models that predict gestational diabetes melli...
Non-error rate of machine learning models that predict gestational diabetes mellitus based on differ...
a Model with the lowers RE for GDM prediction, using 1T data only. b Model with the lowest RE for GD...
a For PLS-DA: NoThy1T + Thy1T. For PLS: NoThy1T. b Model with the lowest RE for post load glycemia p...
(A) Built on first trimester data only. (B) Including second trimester data. 1T: First trimester. 2T...
(A) Built on first trimester data only. (B) Including second trimester data. 1T: First trimester. 2T...
<p>Machine learning result: WM Load level estimation accuracy for each participant.</p
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The machine learning model of the resistance variant for multiple fault location diagnoses.</p
<p>Relative percentage error distribution of the three different prediction models for dysentery fro...
A-B) For the prediction of GDM in the first (A) or second (B) trimester of pregnancy by PLS-DA. C-D)...
Performance of the machine-learned model when propensity matching based on age and gender.</p
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
Clinical significance of differences in glucose levels between reference and post-intervention value...
Non-error rate and relative error of machine learning models that predict gestational diabetes melli...
Non-error rate of machine learning models that predict gestational diabetes mellitus based on differ...
a Model with the lowers RE for GDM prediction, using 1T data only. b Model with the lowest RE for GD...
a For PLS-DA: NoThy1T + Thy1T. For PLS: NoThy1T. b Model with the lowest RE for post load glycemia p...
(A) Built on first trimester data only. (B) Including second trimester data. 1T: First trimester. 2T...
(A) Built on first trimester data only. (B) Including second trimester data. 1T: First trimester. 2T...
<p>Machine learning result: WM Load level estimation accuracy for each participant.</p
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The y value is the mean average error from NCNN model on each target gene; the x value is the mean a...
The machine learning model of the resistance variant for multiple fault location diagnoses.</p
<p>Relative percentage error distribution of the three different prediction models for dysentery fro...
A-B) For the prediction of GDM in the first (A) or second (B) trimester of pregnancy by PLS-DA. C-D)...
Performance of the machine-learned model when propensity matching based on age and gender.</p
<p>Results to the left of the dotted line signify more accurate predictions from our models when com...
Clinical significance of differences in glucose levels between reference and post-intervention value...