This invention relates to the fields of
oncology diagnosis, prediction, and assessment, and particularly to a tumor
prediction system, method, and application based on
tongue coating microorganisms. The
system includes: a microbial
information acquisition module configured to acquire
tongue coating microbial information of a
test sample; and a
data processing module configured to obtain the probability that the
test sample is tumor-positive by predicting the probability of a positive result based on discriminative features of the
tongue coating microbial information obtained through
automatic learning. The
system automatically predicts the probability of different test samples being tumor-positive based on the abundance of different species and genera in the tongue
coating microorganisms, thus providing an economical, non-invasive, efficient, and accurate early tumor screening strategy.