Can Bayesian Networks Take Predicting Treatment Outcomes To The Next Level?

Bayesian networks, since the first breakthrough in the 1980s have been largely used for many real-world applications. It was introduced as formalism for representing and reasoning with models of problems involving uncertainty, with probability theory as a basic framework. The application of Bayesian networks in the medical industry began in the early 1990’s and even today, researchers are exploring the possibilities of its use in medical. Bayesian Networks In Healthcare Bayesian networks can handle a variety of decision making tasks in medical. Because of their ability to be able to compute any probabilistic statement, they can be deployed in the diagnosis and prediction and treatment. A reason why Bayesian networks are best suited for the healthcare field is that they can with capt