SD: Standard Deviation.

The RTF model achieves the highest AUC (0.89), Sensitivity (75%), Precision (73%) and F-Score (74%). The SVM model achieves the highest Specificity (88.9%).

Characteristics of high-risk suicide (n = 7,443) and no high-risk suicide (n = 52,541).

SVR notations.

ANN anemia modeling performances in training and test phases.

Wavelet families and subsets.

† Microarray platforms used by submitter. a:GPL10558 b:GPL4133 c:GPL5175 d:GPL570 e:GPL571 f:GPL6883 g:GPL96 h:GPL1708 i:GPL6884 Dataset description.

Screening inclusion, exclusion criteria.

Steady state performance of the feed-forward strategy.

SD: Standard Deviation. Trained with 60 epochs, learning rate of 0.1, one hidden fully-connected layer of size 100, and ELU activation.

BackgroundThe purpose of this study was to build a model of machine learning (ML) for the prediction of mortality in patients with isolated moderate and severe traumatic brain...

ANN predictive model parameters.

SD: Standard Deviation.

Parameters used in the photogrammetric process.

Settings of the best-performing networks.

Parameters of the DAB.

Optimal parameters for each machine learning model are selected through the grid search.

PV module parameters at nominal operation conditions (25°C- 1000 W/m2).

Main characteristics of the UAV and sensor settings during the flight.

Performance of the models, MAPE ratio of evaluation results for TAIEX futures.