The application discloses a prediction model for diagnosing infectious
mononucleosis in children and a construction method thereof. The application adopts
single factor analysis and logistic
stepwise regression to screen independent influencing factors by using confirmed IM inpatient cases and suspected IM but EBV-
DNA negative child cases, and adopts multiple factor regression to screen six independent influencing factors of age, ALB, GLB, PLT,
LYMPH# and
LYMPH% to construct a diagnosis model. Researches show that in the confirmed diagnosis scene, the multi-index combined model with blood routine and
liver function has excellent diagnosis efficiency (AUC=0.986), realizes the ideal balance of high sensitivity and high specificity, provides a hierarchical tool for the precise diagnosis of IM in different clinical scenes, and is suitable for the precise diagnosis of inpatient children.