The invention relates to the technical field of
data classification, in particular to a hospital intelligent inquiry log
analysis method and
system.The method comprises the following steps that medical concept depth is counted, symptom keywords are extracted, statistical
information gain and
semantic consistency scores are calculated, split decision-making indexes are generated by combining the
gain and the scores to construct an intention classification tree, and an intention
classification result is obtained; inputting a log to generate an inquiry intention identifier, recognizing an error node based on diagnosis and treatment correction feedback and updating a punishment value, establishing a virtual error correction link, calculating a path confidence fusion node, and establishing a physical
branch to generate a reconstruction classification tree when a guide weight exceeds a limit. According to the method, keyword statistics is upgraded into three-dimensional feature analysis by introducing medical concept hierarchies, a classification tree following a medical
system is constructed, a reverse penalty and
virtual link mechanism is constructed by using feedback, node fusion and reconstruction are executed based on confidence, classification logic self-
adaptive evolution is realized, and intention recognition interpretation and robustness are improved.