Nowadays, machine learning technology is needed in the medical field. therefore, this research useful for solving problems field by using learning. Many cases of colorectal cancer are diagnosed late. When detected, usually well developed. Machine an approach that part artificial intelligence and can detect early. This study discusses detection twin support vector (SVM) method kernel function i.e...

Background and Objective: In thoracic surgery, different modalities of extracorporeal life support (ECLS) can be used for cardiorespiratory in complex scenarios. Decades learning clinical practice physiology associated with technological development led to a great variety ECLS technologies available. Thoracic surgery procedures difficult or impossible single lung ventilation may still performed...

background: aging is a sensitive period of life and attention to the issues and needs is essential. to access to health care for the elderly and the prevention of chronic diseases, and reduce the incidence of infection, the first step is identifying the factors affecting the health of every community. one of the factors affecting it, is the social and religious support. thus, this study compare...

This study employed a hybrid system for the combination of pixel-based (PB) and object-oriented (OO) Support Vector Machines (SVMs) based on Bayesian Probability Theory (BPT) for improved land cover classification. A set of uncorrelated feature attributes have been generated from a one-meter IKONOS satellite image. Four different SVMs kernels were compared and tested to classify buildings, tree...