Faraji Gavgani, L.

[ 1 ] - Application of Support Vector Machine for Detection of Functional Limitations in the Diabetic Patients of the Northwest of IRAN in 2017: A Descriptive Study

Background and Objectives: Support vector machine (SVM) is a robust and effective statistical method for the diagnosis and prediction of clinical outcomes based on combinations of predictor variables. The aim of this study was to use SVM to detect the functional limitations in the diabetic patients and evaluate the accuracy of this diagnosis. Materials and Methods: This descriptive study was c...