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Concept and Design of a Learning/Teaching Component for Disease Specialists Agents in a Holonic Medical Diagnostic System

Art der Arbeit:
  • Masterarbeit Informatik
  • Diplomarbeit Informatik
Status:
Themenangebot
Betreuer:

Kurzfassung

At the

University Duisburg-Essen, a holonic medical diagnostic system based on

multi-agents technology  and swarm

intelligence is developed through the last years.
The system

combines the advantages of the holonic paradigm, multi-agent technologies and

swarm intelligence in building a highly adaptive, scalable, flexible, reliable

and robust Internet-based medical diagnostic system.
The medical

diagnostic system is compound of three type of agents: a mediator agent, many

diagnosis specialist agents and disease representative agents.
The mediator

agent represents the diagnostic system interface to the diagnosis requester and

to the physician/specialist evaluator. Several diagnosis specialist agents are

becoming part of the ad-hoc holonic structure in order to provide a suitable

diagnostic. The disease representative agents are related to each defined

disease that can be a diagnosis result. A disease representative agent

determines if a set of symptoms matches its own symptom pattern. 
In diagnosis

retrieval process, the agents follow a specific swarm intelligence method to

build a holonic structure that provides one or more possible diagnostics. Each

diagnostic returned by the system has a probability to match the true

diagnostic that, in common way, is determined by the physician. The diagnosis

specialist agent of a certain level is forwarding the symptoms description data

as computer readable patient pattern to other diagnosis specialist agents of a

lower level in order to receive from them later on a diagnostic that can

satisfy the symptoms constraints. Any 

diagnosis specialist agent encapsulates a learning/teaching component

and a disease specific component that are determining the agent capability to

adapt or to adopt a new disease as representative.
This thesis has

to contribute to the diagnosis specialist agent development by introducing the

design and implementation of a learning/teaching component and of a disease

specific module required by such an agent.
The following

milestones have to be reached by the thesis:
1. Realization of a Learning

Component for acquiring of new disease data from another agent or from a

special system;
2. Realization of a Teaching

Component for publishing of description data for actual disease that the

diagnosis specialist agent contains.
3. Implementation of a Disease

Specific Component to operate with standard format of the disease data and with

operations that the disease specialist agent can perform on that data;

standardization of the disease data has to be handled;

For

implementation, one of the most common object oriented programming

languages,   Java and C++ have to be

used.