The invention relates to a renal
transplantation post-operation rejection risk monitoring and early warning method and a renal
transplantation post-operation rejection risk monitoring and
early warning system. The method comprises the steps of collecting recipient
nursing monitoring data, laboratory indexes and
transplanted kidney ultrasonic
blood flow parameters in a follow-up visit period, performing
timestamp alignment, deletion
processing and
standardization on multi-
source data, extracting features to construct a
time sequence feature sequence, inputting the
time sequence feature sequence into a pre-training risk prediction model, outputting the rejection reaction
occurrence probability of the next period, and forming a risk trend. Calculating a
nursing sensitive index contribution weight based on the model contribution information, and screening a target
nursing monitoring index; and establishing an individualized
baseline model to obtain a baseline value and an allowable fluctuation interval, extracting characteristics such as deviation amplitude, direction, rate, fluctuation and continuous deviation duration and the like, and performing individualized calibration on the
occurrence probability to obtain a calibration risk
score. When the threshold value is not reached and the trend is not triggered, generating a nursing monitoring suggestion of the next period; and pushing early warning and generating grading intervention suggestions when a threshold value is reached or a trend is triggered.