Automatic Oriental Medical Diagnosis via BYY Learning Based Discrete Independent Factor Analysis

摘要

An oriental medical diagnosis is featured by inferring hidden causal factors of diseases from observed symptoms. This paper introduces a computer aided diagnosis in help of a linear independent factor model that interprets the observed symptoms as generated from hidden independent causes in term of discrete variables. The model is computed by algorithms obtained from the BYY harmony learning.