Background　This　study　analyzed　the　influencing　factors　of　fetal　growth　restriction　(FGR),　and　selected　epidemiological　and　fetal　parameters　as　risk　factors　for　FGR.　Objective　To　establish　a　dynamic　prediction　model　of　FGR.　Methods　This　study　used　two　methods,　support　vector　machine　(SVM)　and　multivariate　logistic　regression,　to　establish　the　prediction　model　of　FGR　at　different　gestational　weeks.　Results　At　20-24　weeks　and　25-29　weeks　of　gestation,　the　effect　of　the　multivariate　Logistic　method　on　model　prediction　was　better.　At　30-34　weeks　of　gestation,　the　prediction　effect　of　FGR　model　using　the　SVM　method　is　better.　The　ROC　curve　area　was　above　85%.　Conclusions　The　dynamic　prediction　model　of　FGR　based　on　SVM　and　logistic　regression　is　helpful　to　improve　the　sensitivity　of　FGR　in　pregnant　women　during　prenatal　screening.　The　establishment　of　prediction　models　at　different　gestational　ages　can　effectively　predict　whether　the　fetus　has　FGR,　and　significantly　improve　the　clinical　treatment　effect.