Oriental Medical Data Mining and Diagnosis Based On Binary Independent Factor Model
نویسندگان
چکیده
In an oriental medical diagnostic process, human doctor accumulates the observed complex symptom data from the patient and diagnoses the person’s illness. The doctor tries to infer from the visible observed symptoms based on his knowledge and what his understanding before he comes to a conclusion. A complicated observation is regarded as generated from a number of hidden and simpler factors and can be analyzed by a factor analysis model. We develop an automatic oriental medical diagnostic system which consists of a specific three layer model in help of a binary independent factor analysis based on BYY harmony learning. We consider the diagnosis for a kind of the oriental causal illness name, ’GanDamSpYeol’, with the observed symptoms by this model.
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