Incorporating nonlinear signal analysis results in higher-level reasoning models

Chaotic analysis can provide useful insights into the behavior of biomedical time series. The use of higher-order decision models can enhance the diagnostic impact Of these results by combining them with additional patient information, including clinical parameters, patient and family history, and genetic factors. The intelligent agent (IA) approach offers a general ftamework for the inclusion of multiple methodologies in a seamless system and also provides capabilities for the inclusion of data from multiple information sources. The user is included as an agent in the system and can interact with the other agents to refine the decision making process.