A.) R2 (R-squared) and B.) Mean Absolute Error (MAE). Model name contain the duration (e.g., full week), data type (e.g., Scalars or Time Series), and model algorithm type (e.g., LightGBM). * represents ensemble model. Red point is the overall ensemble across all models, green points denote the measured physical activity for the full week as inputs, and blue points denote the walking or gait data as inputs.</p
International audienceWe ranked third in the Predictive Analytics Competition (PAC) 2019 challenge b...
<p>Prediction accuracy for women (solid line) and men (dashed line) by age in each self-ascribed eth...
Results are provided on predicting daily physical activity level (PAL) data from past data of partic...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
Red data points represent time steps for which a higher value would increase the chronological age p...
<p>Predicted root mean square error of the estimation of age using a partial least squares (PLS) mod...
<p>The points in the figure represent mean values. (A) shows the accuracies from time point 3 to tim...
The symbol (^) indicates weekly forecasts where the Ensemble(4) model outperformed the (log) ARIMA m...
The symbol (^) indicates weekly forecasts where the Ensemble(4) model outperforms the ARIMA model. F...
<p>Age-profiles in 2006 (solid) and 2012 (dashed), predicted based on regressions that control for a...
(A) Identification of top-10 predictive variables affecting Rt estimation. (B) Top-10 most contribut...
Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...
<p>Age-profiles in 2006 (solid) and 2012 (dashed) for low-educated (red) and medium/high-educated (b...
Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...
Prediction models are becoming more and more important in medicine and cardiology. Nowadays, specifi...
International audienceWe ranked third in the Predictive Analytics Competition (PAC) 2019 challenge b...
<p>Prediction accuracy for women (solid line) and men (dashed line) by age in each self-ascribed eth...
Results are provided on predicting daily physical activity level (PAL) data from past data of partic...
This table depicts the average R2, mean square error, median absolute error and R2 95% confidence in...
Red data points represent time steps for which a higher value would increase the chronological age p...
<p>Predicted root mean square error of the estimation of age using a partial least squares (PLS) mod...
<p>The points in the figure represent mean values. (A) shows the accuracies from time point 3 to tim...
The symbol (^) indicates weekly forecasts where the Ensemble(4) model outperformed the (log) ARIMA m...
The symbol (^) indicates weekly forecasts where the Ensemble(4) model outperforms the ARIMA model. F...
<p>Age-profiles in 2006 (solid) and 2012 (dashed), predicted based on regressions that control for a...
(A) Identification of top-10 predictive variables affecting Rt estimation. (B) Top-10 most contribut...
Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...
<p>Age-profiles in 2006 (solid) and 2012 (dashed) for low-educated (red) and medium/high-educated (b...
Estimating age based on neuroimaging-derived data has become a popular approach to developing marker...
Prediction models are becoming more and more important in medicine and cardiology. Nowadays, specifi...
International audienceWe ranked third in the Predictive Analytics Competition (PAC) 2019 challenge b...
<p>Prediction accuracy for women (solid line) and men (dashed line) by age in each self-ascribed eth...
Results are provided on predicting daily physical activity level (PAL) data from past data of partic...