The invention relates to the technical field of
child health assessment, in particular to a child body fat rate adaptive prediction method and
system based on trajectory feature
collaboration.The method comprises the following steps that a child
physical examination data set is obtained, height and weight changes are analyzed, difference ratio screening samples are calculated,
waistline change slope assessment stability screening samples are extracted, and a child body fat rate prediction result is obtained; calculating a sign proportion difference to adjust a training weight, identifying an age group residual difference to adjust
model parameters, and adjusting a prediction slope generation result in combination with a body fat trend direction and a
body weight trend direction. According to the method, samples are screened through height and weight tracks, abnormal data are eliminated in combination with fluctuation continuity of
waistline change slope, a feature
weighting coefficient is set according to proportion deviation of height, weight and
muscle amount, and a response coefficient is adjusted through a distance relation between a grouping mean value of age group residual errors and a concentration interval. And the change path is judged by utilizing the consistency of the body fat and
body weight prediction trend, so that non-
trend prediction offset is avoided, and the stability of the model and the sample adaptability are improved.