This invention relates to the field of postoperative assessment technology, and more particularly to a
quantitative assessment method,
system, and storage medium for emergency colon
cancer surgery. It includes: collecting
postoperative recovery data from patients, including preliminary indicators such as the time point of
bowel function recovery, the range of bowel movement frequency fluctuations, and the intensity of overall
physical activity; combining
time series analysis and
activity intensity information to identify potential high-risk time points; based on the comparison results of the high-risk time
point set with preset thresholds, data fusion analysis of the interaction of preliminary indicators to construct a comprehensive
recovery trend vector, and determining
recovery pattern classification through
pattern matching; based on the recovery pattern classification, constructing a dynamic adjustment matrix, adjusting the weights of each indicator, and calculating the overall recovery
score through weighted average; and generating a personalized intervention adjustment sequence based on the relationship between the overall recovery
score and the preset threshold. This invention solves the problems of strong subjectivity and poor real-time performance in
postoperative recovery assessment, and achieves accurate and personalized recovery assessment and intervention adjustment.