The invention provides a papillary
thyroid carcinoma neck
lymph node metastasis risk prediction method and
system based on blood indexes and TI-RADS grading, and relates to the technical field of medical
data analysis. According to the method, an
original data set is constructed by obtaining TI-RADS classification, the
maximum diameter of nodules, the number of nodules, gender, age and conventional
hematology indexes including
apolipoprotein B and carcino-
embryonic antigen of a patient, characteristic variables are screened by adopting
LASSO regression, and an independent prediction
risk factor model is established in combination with multi-factor
Logistic regression. And further constructing a column
graph model, carrying out performance
verification through multiple statistical indexes, and deploying the model to a webpage
calculator based on a shiyapp to realize convenient output of the individualized
risk probability. According to the method, efficient and accurate prediction of the preoperative
lymph node metastasis risk is realized, and reliable decision support can be provided for clinic.