Application of Bayesian Decision Tree Algorithm in Breast Cancer Prediction

Analysis of Application Status of Bayesian Decision

“…Applying Bayesian decision theory may be shown as a novel statistical test that uses the Bayesian method to discover significant inaccuracies in data from chemical processes [12]. An abundance of random and even more egregious mistakes may be introduced into the process data collected in a chemical plant.…”

“…When it comes to building a decision framework, estimating a risk distribution, and parameterizing a model, Bayesian techniques in risk analysis provide greater flexibility and adaptability than more conventional approaches. The study of indecision shows that robust Bayesian methods may provide more reliable inference in the lack of extensive statistical information, which is why they compensate for the shortcomings of Bayesian methods [12]. Bayesian methods can be applied in risk assessment in three ways: to build a decision framework, to approximate the spread of risk, and to parameterize the moderator of interest.…”

“…Bayesian networks' primary strength is that they give a means of breaking down a probabilistic model into a collection of smaller, more manageable distributions. There are three significant ramifications of the network's topology's independence semantics dictating how to integrate these local distributions to create the whole joint-probability distribution across all the random variables indicated by the nodes in the network [12]. To begin, several values exponentially in the number of variables are needed to describe a joint-probability distribution using a table naively.…”