59 search results - page 5 / 12 » Gene Extraction for Cancer Diagnosis by Support Vector Machi... |
IJACTAICIT
2010
13 years 4 months ago
2010
The classification of Electrocardiogram (ECG) is critical for diagnosis and treatment of patients with heart disorders. We present a technique for automatic the detection and clas...
CEC
2007
IEEE
13 years 11 months ago
2007
IEEE
In this work we compare the use of a Particle Swarm Optimization (PSO) and a Genetic Algorithm (GA) (both augmented with Support Vector Machines SVM) for the classification of high...
BMCBI
2005
13 years 7 months ago
2005
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
TITB
2008
13 years 7 months ago
2008
Nonlinear classifiers, e.g., support vector machines (SVMs) with radial basis function (RBF) kernels, have been used widely for automatic diagnosis of diseases because of their hig...
ISBI
2007
IEEE
14 years 1 months ago
2007
IEEE
The current method of grading prostate cancer on histology uses the Gleason system, which describes five increasingly malignant stages of cancer according to qualitative analysis...