Statistical data mixed with qualitative and quantitative indices are usually prepared for object identification. In the medical field, qualitative indices such as pathological complaints and quantitative indices such as laboratory tests are often given together, so it is very important to make a discriminant for diagnosing a patient’s disease properly.
To date, no method has been developed to produce a discriminant in the presence of both qualitative and quantitative indices.
Kim Ju Hyong, a researcher at the Faculty of Biology and Medicine Engineering, has proposed a new method of object identification from statistical data with both qualitative and quantitative indices.
He has applied the method to diagnosis of hundreds of diseases ―cerebral apoplexy, autonomic imbalance, carcinoma in stomach, liver, colon, lungs, women and nose, acute abdomen symptoms, cardiopathy, cryptogenic gangrene, caput external stroke, etc.
The results confirmed that his method has high possibility of producing a more reasonable discriminant by performing iterative calculations considering the degree to which qualitative and quantitative indices contribute to the discrimination, and that it is a simple and widely used method for diagnosis of medical diseases from both indices.
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