Support Vector Machine (SVM) for nonlinear regression has shown very good learning performance. By using the SVM for regression, this paper presents a method that can determine serum cholesterol levels from the measurements of spectral content of a blood sample in medical science.The experiments show that the proposed SVM-based method is better than the BP network based method in stability and accuracy, especially for the measurements of the VLDL cholesterol levels.