This invention relates to the field of
biomedical data processing technology, specifically to a stratification
system for
sepsis-related secondary invasive fungal infections based on laboratory data. The invention obtains the degree of static intestinal baseline damage by considering serum lactate concentrations at different historical testing times, temporal characteristics, and a preset maximum
backtracking period; it obtains the cumulative dosage of
antimicrobial drugs and the hourly cumulative distribution value of
drug use based on the
drug dosage distribution at different medication times within a neighborhood of the real-time trigger time; it obtains the overall degree of
inflammation reduction and the hourly cumulative distribution value of
inflammation regression based on the
procalcitonin concentration distribution at testing times within a neighborhood; and it further obtains the net
drug-induced intervention level. Based on the degree of static intestinal baseline damage and the net drug-induced intervention level, the fungal infection characteristics are stratified. This invention, by considering non-drug-induced interference, accurately obtains the comprehensive
risk level of fungal infection, improving the effectiveness of fungal infection stratification.