The invention discloses an
auxiliary system and method for diagnosing the chronic obstructive
pulmonary disease based on a
support vector machine. The
system comprises a multi-feature input unit and aprocessor, and the processor is provided with a multi-dimensional
feature selection module, a
support vector machine establishment module and a
support vector machine model testing module; the multi-dimensional
feature selection module establishes a first sample, the first sample is subjected to
feature dimension reduction through a maximum dependence degree
algorithm based on a
rough set, multiple main feature sub-sets are obtained, and a sample set composed of the main feature sub-sets is established and used as a second sample; the support vector
machine establishment module establishes asupport vector
machine model; the support vector
machine model testing module divides the second sample into a
training set and a prediction set randomly, a trainer is generated, and whether or not the second sample obtained through dimension reduction expresses into the chronic obstructive
pulmonary disease is predicted according to the support vector machine model. According to the
auxiliary system and method, based on the support vector machine model, the relation between the chronic obstructive
pulmonary disease and all physiological indexes of a patient is established, and the testing accuracy degree is high.