An attribute reduction algorithm based on pessimistic data-driven valued characteristic multigranulation model is employed to extract fault diagnosis decision rules.
If the process of integrated diagnosis decision is to be scientific, it is unavoidable for it to face complexity and use the idea of complex system to research the diagnosis decision problems.
The diagnosis decision is performed by a distributed hypothesis testing method that relies on a belief consensus algorithm.
The destructive human consequences of terrorist bombing always challenge the medical system in diagnosis, decision making, and patient management.
The aim of the study was to analyze impact on diagnosis, decision making and management based on data received from invasive monitoring vs. echocardiography.
The outputs of the diagnosis decision making system are then fed as inputs for the drug delivery and cure decision-making system.
The network comprised 8 diagnostic histological features (evidence nodes) that were each independently linked to the diagnosis (decision node) by a conditional probability matrix.
This chapter focuses on the validation of diagnosis decision support using in Bayesian belief networks for facilitating airplane maintenance at an airport gate.
In addition, the architecture used is presented, showing how the five levels on which it is based (data gathering, diagnosis, decision support, plans, and actions) have been implemented.
The method presented herein can help to access the risk level of an incorrect radiological diagnosis decision.
TAS and VS were involved in the direct clinical care (diagnosis, decision making, and treatment) of the reported patient.
