fast enzyme linked immunosorbent assay (fast-elisa) was compared with the standard elisa for the diagnosis of human hydatidosis. seventy serum samples including 30 from hydatidosis patients (surgically confirmed), healthy control individuals not infected with any parasitic diseases (n=/20) and from others with different parasitic infections including, toxocariosis (n=5), fasciolosis (n=5), tric...

Abstract Significant advances in deep learning techniques have made it possible to offer technologically advanced methods detect cardiac abnormalities. In this study, we proposed a new based Restricted Boltzmann machine (RBM) model for the classification of arrhythmias from Electrocardiogram (ECG) signal. The work is divided into three phases where, first phase, signal processing performed, inc...

This article presents a resource-efficient adaptive sampling methodology for classifying electrocardiogram (ECG) signals into different heart rhythms. We present our in two folds: ( i ) the design of novel real-time neural network architecture capable ECG with rates and ii runtime implementation rate control using deep reinforcement learning (DRL). By essential morphological details contained h...

Electrocardiogram (ECG) is the primary basis for diagnosis of cardiovascular diseases. However, amount ECG data patients makes manual interpretation time-consuming and onerous. Therefore, intelligent recognition technology an important means to decrease shortage medical resources. This study proposes a novel classification method arrhythmia that uses very first time three-heartbeat multi-lead (...

Standard deviation (SD) and standard error (SE) are quietly but extensively used in biomedical publications. These terms and notations are used as descriptive statistics (summarizing numerical data), and they are used as inferential statistics (estimating population parameters from samples). I review the use and misuse of SD and SE in several authoritative medical journals and make suggestions ...

A recent Perspective in Nature issued a call for more transparency in the reporting of preclinical research (1). Although this article focused primarily on experimental design, it emphasized the need for improved reporting in the scientific literature. Within the context of preclinical studies, there have been discussions regarding the appropriate reporting of standard error (SE) and standard d...