The invention discloses an esophageal
squamous carcinoma radical postoperative patient
prognosis prediction model construction method and device, and the method comprises the steps: obtaining
clinical diagnosis and treatment data and follow-up visit
survival data, carrying out multi-factor Cox
regression analysis on patient characteristic variables,
tumor pathology characteristic variables, treatment condition variables and test index variables according to follow-up visit
survival data, carrying out
variable screening by utilizing a step-by-step back
algorithm and an
Akaike information criterion, and carrying out
variable screening on the screened candidate variables again to obtain modeling variables; and performing multi-factor Cox
regression analysis on modeling variables and interaction items of every two modeling variables to construct a
prognosis prediction model of a patient after the esophageal
squamous carcinoma radical operation, wherein the prediction variables comprise age, gender, tumor
primary position, T stage,
lymph node detection number,
tumor size, preoperative
hemoglobin level and N stage treatment mode interaction items. According to the method, the prediction accuracy can be improved, the optimal benefit group of different treatment schemes is defined, and the prognosis evaluation precision of the
esophageal squamous cell carcinoma is realized.