Читать книгу Advanced Healthcare Systems - Группа авторов - Страница 49
3.5.2 Support Vector Machines
ОглавлениеThis is machine learning algorithm that is used for text categorization, image segmentation that uses classification algorithm, and regression and detection of outlier. To implement this in healthcare, sampling is divided among training and testing [9]. This algorithm aims to isolate diseases and then work through a hyperplane. This algorithm used the training data as input and separated the graph of the data in the class as output in the hyperplane [10]. Let us consider classification task such as {ui, vi} where i = 1....n ui are data points, ui ϵ Sd and vi are labels. The data points and labels are displaced through the hyperplane with wtx + b = 0, where w represents a D-dimensional coefficient vector that is normal to the hyperplane and b represents an offset from the origin.