In our implementation, the prediction task is parallelized on GPU.
However, the implementation of prediction algorithms which are able to assist physicians in the diagnostic is a difficult task.
In order to fully harness their strengths for wider impact, effective real-world implementation of prediction systems must incorporate the use of innovative technologies such as mobile computing.
Among them, one can distinguish physics-related fields, focusing on the resolution of equations simulating building thermal behaviour and mathematics-related ones, consisting in the implementation of prediction model thanks to machine learning techniques.
Agreement between the different ACPA assays may be important for the implementation of prediction models.
Data mining and molecular or genetic markers combined method had raised potential clinical implementation in prediction of patient outcome for solid tumour.
DES was instrumental in predicting the consequences of such interventions prior to implementation, and such predictions were confirmed to be highly accurate, when compared with the actual ED.
We also used several other algorithmic implementations, including TMMOD, an HMM-based transmembrane protein prediction implementation [ 73], and TOPCONS, a consensus prediction tool of membrane protein topology [ 74].
Our experimental results show that the behavior of the implementation matches our predictions from theory.
Whilst this is generally not deliberate, text-based publication of component functional relationships is rarely sufficient to reproduce a simulator (Robinson and Monserud, 2003), because many details intimate to a particular implementation may affect predictions (Villa et al., 2009).
