The application discloses a
dyslipidemia risk prediction device and
terminal equipment, method and storage medium, and relates to the technical field of medical detection equipment. The device comprises an acquisition module, a first
processing module and a second
processing module which are connected with each other. The first
processing module is used for inputting SNP
genotype data of a to-be-predicted object into a pre-constructed scoring model, obtaining a polygenic risk
score, and inputting an actual age and a
phenotype age into a pre-constructed age
linear regression model after obtaining the
phenotype age based on clinical biochemical marker data and the actual age of the to-be-predicted object, so as to obtain a
phenotype age acceleration value. The second processing module is used for inputting the polygenic risk
score, the phenotype age acceleration value and individual characteristic data into a pre-constructed integrated model, obtaining a prediction
result set, and taking a mode of the prediction
result set as a prediction result of the to-be-predicted object. The device can be used for more comprehensive and accurate prediction and can improve processing efficiency.