The invention relates to the technical field of
data processing, and particularly discloses a heterogeneous data
feature extraction method and
system based on multi-
modal information fusion, and the method comprises the steps: S1, collecting multi-source
pathological data, determining a
skin tumor
disease set and multiple pieces of
disease pathological data, and obtaining historical
patient data; s2, determining a plurality of historical stage data and
disease development vectors of each
skin tumor disease; s3, determining a
disease course development vector of each patient of each disease stage tag of each
skin tumor disease; s4, calculating a
label feature set of each disease stage
label of each
skin tumor disease and a plurality of stage-
disease course feature sets; and S5, constructing a
disease detection model, and constructing a plurality of
disease course development prediction models of each
skin tumor disease. Core features of various diseases and stages can be accurately extracted, full-chain
information support from disease recognition, stage judgment to progress pre-judgment is provided for clinic, and the accuracy and foresight of
skin tumor diagnosis and treatment are improved.