Confidence interval for pool AUC with all the individuals.

<p>Confidence interval for pool AUC with all the individuals.</p

AUC results for the validation set.

<p>AUC results for the validation set.</p

AUC results for test set.

<p>AUC results for test set.</p

Preprocessing stage diagram.

<p>A sliding window is used to extract 60-second windows which are processed by FFT to generate a large vector. This vector is preprocessed with 6 filters located at the corresponding 6 bands (<i>δ</i>, <i>θ</i>, <i>α</i>, <i>β</i>, low-<i>γ</i>, high-<i>γ</i>). These filters have been previously calculated with the preprocessing methods described in this paper. Finally the output of the filters is log-compressed with the function log1p (Natural logarithm of 1 + <i>x</i>, element-wise). This procedure is repeated for each available iEEG channel.</p

Comparison with PBF and DS preprocessing methods using different learning machine algorithms.

<p>Comparison with PBF and DS preprocessing methods using different learning machine algorithms.</p

Comparison with the standard band filters (PBF) and the preprocessing techniques.

<p>Comparison with the standard band filters (PBF) and the preprocessing techniques.</p

Data characteristics for the Kaggle.com seizure forecasting contest.

<p>Source: [<a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0178808#pone.0178808.ref009" target="_blank">9</a>].</p

ROC curves for the preprocessing methods.

<p>Following the notation in the paper: PBF (dark green), DS (orange), VAR (blue), DM (pink), TVM (light blue), Sq.diff (yellow) for all the test set (public+private) given by the Kaggle contest.</p

Data_Sheet_1_Analysis of the influence of educational level on the nutritional status and lifestyle habits of the young Spanish population.PDF

AimThis study aims to analyze some nutrition and health habits of young people and the impact of educational attainment on health.MethodsAn observational, descriptive, and cross-sectional study was carried out using surveys. Using non-probabilistic snowball sampling, a previously validated questionnaire was disseminated through networks, collecting a sample of 9,681 people between 18 and 30  years old. Comparative analyses between groups were obtained by clustering and the corresponding statistical tests.ResultsThe results showed how young people with higher education generally have a lower BMI, a higher healthy nutrition index, less frequent consumption of sugary drinks, and less smoking than their peers with basic education. These healthier habits are reflected in the higher self-perceived health status of the higher-educated group. While for all the educational levels analyzed, the minutes of physical activity practice are above the 150 min recommended by the WHO.ConclusionOur findings suggest that young people’s education level is of fundamental importance for health, particularly for nutritional habits. In general, the lifestyle habits of the young Spanish population are healthy, but there is a need for improvement in those aspects related to nutrition and food.</p

Comparison between AUC for individuals, preprocessing methods and the highest and the lowest frequency group.

<p>Every panel is a comparison between all the bands, only <i>δ</i> (0.1-4Hz) or only high-<i>γ</i> (70-180Hz). The red points correspond to the AUC got by the DS preprocessing and the black points by the PBF method. Every point is labeled according to the individual D1 (Dog 1), D2 (Dog 2), D3 (Dog 3), D4 (Dog 4), D5 (Dog 5), P1 (Patient 1) and P2 (Patient 2). Most of the points are in the lower bisector of the first quadrant, pointing out that the lowest frequency band is more useful than the highest frequency band with respect to forecasting seizures.</p