Build an intelligent system for diagnosing breast cancer -- 2

Build an intelligent system for diagnosing breast cancer upon: - XML parser: Messages sent between two systems are encoded in the XML format. The XML parser will help you extract information from XML messages; - Develop a stub diagnoser that simulates the behavior of an intelligent model for classifying a case to be recurrent or nonrecurrent of breast cancer The input of stub diagnoser is patent’s information The diagnoser will randomly return the result of recurrent or non recurrent 1. The architecture of the system will be Peer-to-Peer (P2P), i.e., your system will be both a client and a server. Socket will be used as the communication mechanism. 2. system needs to keep a list of servers (maintained by other teams), which can answer whether a data item (i.e., patient data) is likely to be recurrent or not. Your system can send the request to all the servers and use the majority vote to finalize the diagnosis. a. All the messages should be encoded in the XML format 3. system needs to listen to a TCP port for upcoming requests. Once receiving the request, use your artificial neural network (ANN) to diagnose, and send the request back to the client. 4. system should develop a stub diagnoser to diagnose breast cancer 5. system should contain a GUI to make it user friendly