Neural network aided diagnosis based on temperature at a cup uncture points

Abstract

Possibility of applying of neural networks (NN) for diagnosing “an out of order” state of organism is described in this paper. The aim of research was to obtain a tooI supporting a medical diagnosis. Data set used in the research included temperature values, which were measured at selected acupuncture points (AP) of both healthy and ill persons. Research has been concerned with a structure of neural network and preparing a learning set. Preliminary results revealed the correct recognition of 81 % for category ill and 62 % for category healthy.