816d0671-804d-44a4-8336-a591e7db026d
New model for intelligent breast cancer monitoring Summary
Monitoring the patient's condition and diagnosing the type of disease are very important goals.  Therefore, its analysis and evaluation is also very important, creating the necessary ability in specialists to evaluate the patient's condition in different treatment conditions has been important. Designing a robust network requires robust agents and topology. Here we show a model of monitoring the patient's condition and diagnosing the type of disease with robust agents and topology, which is here based on the type of relationship between agents. Agencies and capabilities have been able to design a robust network for diagnosing, analyzing and evaluating the patient's condition. By changing the possible parameters of the tumor status, we were able to evaluate the ability of the network in the identification process. This is a general criterion in the analysis of the patient's condition by specialists. The simulation results show that this network has the necessary strength to diagnose and treat the disease with good accuracy.
Monitoring the patient's condition and diagnosing the type of disease are very important goals.  Therefore, its analysis and evaluation is also very important, creating the necessary ability in specialists to evaluate the patient's condition in different treatment conditions has been important. Designing a robust network requires robust agents and topology. Here we show a model of monitoring the patient's condition and diagnosing the type of disease with robust agents and topology, which is here based on the type of relationship between agents. Agencies and capabilities have been able to design a robust network for diagnosing, analyzing and evaluating the patient's condition. By changing the possible parameters of the tumor status, we were able to evaluate the ability of the network in the identification process. This is a general criterion in the analysis of the patient's condition by specialists. The simulation results show that this network has the necessary strength to diagnose and treat the disease with good accuracy.