Junchuan - Institute of Knowledge-based Systems, Department of Electrical Eng. and Computer Science University of Siegen, Germany
Xufeng - Institute of Knowledge-based Systems, Department of Electrical Eng. and Computer Science University of Siegen, Germany
Meyer - Institute of Knowledge-based Systems, Department of Electrical Eng. and Computer Science University of Siegen, Germany
Fathi-Torbaghan - Institute of Knowledge-based Systems, Department of Electrical Eng. and Computer Science University of Siegen, Germany

The Online Medical Assistant (OMA) is a dynamic collaborative web-based medical decisionsupport expert system in which medical self-diagnosis expert systems are integrated inside as medical engines which respectively focus on different medical domains, and the portal of the system plays the role of a coordinator which merges the web pages, medical engines and all kinds of application programming interfaces (API) into one web-based system. The Development of such kind of web-based medical decision-support expert system is not intended to replace the role of physicians in the diagnostic inference process, but to be a decision-support assistant for the physicians and medical experts in the procedures of diagnostic reasoning.

Fuzzy Logic, Decision-Support systems, Medical Expert Systems, Acute Abdominal Pains, Self-learning, Self-growing, Self-diagnosis Medical systems, Medical Knowledge Base