Using data from a large community-based study, we examined if VAI would improve CVD prediction currently made by multivariate algorithms and if VAI could add to the predictive ability of the simple anthropometric measures of adiposity i.e. BMI, waist-to-height ratio (WHtR) or waist-to-hip ratio (WHpR).
This can be eschewed by instead employing multivariate algorithms for signal detection, where machine learning methods can provide efficient and effective means of modeling high-dimensional data.
The value of our multivariate algorithms is strengthened by the use of one group of children to develop the models, and use of a separate group of children for validation.
It should also be considered that the eight-gene classifier was obtained by a multivariate algorithm and preselection of probe sets based on individual variances, whereas the consensus list is based on simple overlap analysis of all genes up- or down-regulated by all HDACi.
On the basis of multivariate algorithms clinicians can now calculate an individual's cardiovascular risk.
Due to a combination of the metabolic pathway dynamism, complex sample molecular interactions and overall efficiency of the analytical protocol, the replacement of missing data by means of a multivariate algorithm is preferred to a naive imputation by a pre-specified value like, for instance, zero.
The raw reflectance spectra were preprocessed using three spectral transformations for predicting soil As contamination using three multivariate algorithms.
Simulation studies using the data showed that over a range of situations, the multivariate CUSUM algorithm performed more effectively than the other algorithms tested.
In this article, we present the multivariate ssG algorithm.
Lastly, we worked to fine-tune the multivariate CUSUM algorithm, which we refer to as MV CUSUM.
