Confidence Levels for Medical Diagnosis on Distributed Medical Knowledge Nodes

This paper presents the methodology of defining the confidence levels for computer-aided medical diagnosis according to the patient-doctor visiting. It is a part of on-going research in the Medical Knowledge Technology (MKT) system. With the expansion of medical knowledge into the Internet by various groups of Tele-medicine researchers, the suggestion of confidence levels for medical diagnosis on multiple medical knowledge nodes of the distributed databases, as simultaneously consulting doctors, is presented. The extension of this AI methodology to in the medical field via Internet will provide support to the physicians and improve the health of world population.