… that involve predicting diagnosis and prognosis of brain diseases such as … method is
typically needed to transform the support vectors to a higher-dimensional input space. In other …

… methods used to classify cerebral infarction, this study uses a multiple support vector machine
with … [12] CJC Burges, “A tutorial on support vector machines for pattern recognition,” Data …

… MRI is an extensively used technique which facilitates the diagnosis and prognosis of … we
can use a support vector machine (SVM) [13]. We are using a set of new MRI brain images. …

… This test illustrates the signaling behavior of a person's brain, … Machine (BM) with hybrid
feature maps. This paper describes the implementation of an EEG spectral image classification …

… considers the diagnosis of PD based on voice patterns. In … performance of eight different
pattern ranking techniques (also … brain MRI, filtering, wrapper feature selection methods, and …

… selection problem in classification of medical datasets. For classification, we propose support
vector machine (SVM) … In order to test the quality of the proposed BSO-SVM classification …

… In recent years, we have observed increasing interest among researchers in deep learning
methods for image classification and segmentation. Convolutional neural networks (CNNs) …

… the most used techniques to provide multiple perspectives on brain function, structure, and
… attention in using machine‐learning (ML) techniques, pattern recognition methods, applied …

… segments after consolidating the different results. The accomplishment … technique. In our
research we utilized a decision tree with support vector machine and also likewise the different …

… such as image recognition [117– 119], pavement crack detection [… on PD and ischemic brain
stroke detection. The list of … A wavelet support vector machine-based neural network meta …