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

In recent years, a wide variety of Machine Learning (ML) algorithms, including Deep Learning (DL) methods, have been proposed for electrocardiogram (ECG) beat classification.However, accurately discerning ECG beat types faces challenges due to noise interference and inherent imbalances among different classes.Moreover, understanding mathematical mo

AbstractExposure to significant levels of stress and trauma throughout life is a leading risk factor for the development of major psychiatric disorders.Despite this, we do not have a comprehensive understanding of the mechanisms that explain how stress raises psychiatric disorder risk.Stress in humans is complex and produces variable molecular outc