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To replicate clinical approach of diagnosis through a staged decision process, the Bayesian inference nets (BIN) are adapted.
Especially, BIN with its ability to execute staged decision process and provide reasoned conclusions has established a long track record in medical informatics [ 15– 19], leading to the development of various clinical decision support systems (CDSS) [ 20– 20].
To support a doctor's approach of diagnosis with staged decision process, a BIN is adopted in this paper in order to design an intelligent CVD diagnosis system based on HDPs.
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Q-learning is an approximate dynamic programming algorithm that can be viewed as an extension of regression to multi-stage decision problems (Nahum-Shani et al. 2012b).
It's possible that a crucial staging decision has an unintentionally deadening effect.
Republicans pushed for an explanation for a late-stage decision to disable anonymous shopping on the federal health exchanges.
I loved the choice of venue for Macbeth, and the mud was a very visceral and interesting staging decision.
Figure 5 Estimated optimal first-stage decision rule.
WTP was modelled as a two-stage decision process.
Instead, a multi-stage decision process is formulated and solved as a two-level hierarchical optimization model.
In their full realization, both are recognized as challenging stochastic multi-stage decision problems.
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