RECOGNITION OF THE GASTRIC MOLECULAR IMAGE BASED ON DECISION TREE AND DISCRIMINANT ANALYSIS CLASSIFIERS BY USING DISCRETE FOURIER TRANSFORM AND FEATURES

This article presents the development and evaluation of a computerized decision support system (DSS), aiming to Show the feasibility and potential toward maximizing the benefits of a new algorithm by combining the machine-learning techniques which are not used in the literature for automatic recognition of the gastric images.The object of this arti

The rapid growth of malware has become a serious problem that threatens the security of the mobile ecosystem and needs to be studied and resolved.Android is the main target of attackers due to its open source and popularity.To solve this serious problem, an accurate and efficient malware detection method is needed.Most existing methods use a single

Nasogastric (NG) tubes are commonly used for enteral feeding.Complications of feeding tube misplacement include malnutrition, pulmonary aspiration, and even death.We built a Bayesian network (BN) to analyse the risks associated with available bedside tests to verify tube position.Evidence on test validity (sensitivity and specificity) Boxes was ret

Background and objectiveGlycation is a common post-transcriptional modification of proteins.Previous studies have shown that advanced glycation end modified transferrin (AGE-Tf) levels in diabetic rat kidney tissues were increased; however, its role in diabetic nephropathy remains unclear.In this study, differences in glycation degree and Tf sites