To sort out the contexts, we designed a semantic network using a knowledge-driven approach, whereas DBNs are constructed with a data-driven approach.
The approach is both a knowledge driven and data driven one.
Being healthcare delivery a knowledge driven process, knowledge management provides an opportunity for improvement and innovation in processes.
The use of PSFs in this way forms one part of the development of data driven soft-sensors using a knowledge fusion approach.
On two real data sets, we provide a thorough biological interpretation of the results obtained and compare the inferred statistical networks to known biological networks using data knowledge driven analyses.
Reaction mechanisms-based approach identifies product candidates that can be driven from a predetermined substrate using a knowledge-based expert system [ 7- 10].
Cancer cell fate in response to drugs has been studied with both discrete and continuous models using knowledge driven approaches.
The methodology proposed here combines methods used in the knowledge driven models used for spatial modeling of diseases [ 19] as well as methods for the risk estimation based on expert opinion elicitation [ 20, 21].
The way to combine these risk factor values (numerical values) was a linear weighted model, similar to those used in the knowledge driven models [ 19], using the weights obtained during the EO elicitation.
This article has proposed an intelligent knowledge driven method to segment hemorrhage from brain CT images using the information of pixel intensity population and distribution.
