The　medical　diagnosis　process　can　be　interpreted　as　a　decision　making　process,　which　doctors　determine　whether　a　person　is　suffering　from　a　disease　based　on　the　medical　examination.　This　process　can　also　be　computerized　in　order　to　present　medical　diagnostic　procedures　in　an　accurate,　objective,　rational,　and　fast　way.　This　paper　presents　a　detection　model　for　small　for　gestational　age　(SGA)　based　on　support　vector　machine　(SVM).　For　this　purpose,　a　dataset　was　adopted　from　pregnancy　eugenic　investigation　to　train　the　classification　model.　Then　empirical　experiments　were　conducted　for　SGA　detection.　The　results　indicate　that　support　vector　machine　is　considerably　effective　to　detect　SGA　to　help　doctors　make　the　final　diagnosis.