Background: The SARS-CoV-2 virus has demonstrated the weakness of many health systems worldwide, creating a saturation and lack access to treatments. A bottleneck fight this pandemic relates diagnostic infrastructure for early detection positive cases, particularly in rural impoverished areas developing countries. In context, less costly fast machine learning (ML) diagnosis-based are helpful. H...

Machine learning-based approaches outperform competing methods in most disciplines relevant to diagnostic radiology. Interventional radiology, however, has not yet benefited substantially from the advent of deep learning, in particular because of two reasons: 1) Most images acquired during the procedure are never archived and are thus not available for learning, and 2) even if they were availab...

background and objectives: loop-mediated isothermal amplification is a novel nucleic acid amplification assay providing as a simple diagnostic tool for rapid identification of microbial diseases in developing countries. in this study, a lamp assay was established for yersinia enterocolitica , a leading cause of acute enterocolitis in young children. materials and methods: lamp assay was establi...

A transformer is the most valuable and expensive property for power utility, thus ensuring its reliable operation is a major task for both operators and researchers. Online impulse frequency response analysis has proven to be a promising technique for detecting transformer internal winding mechanical deformation faults when a power transformer is in service. However, as so far, there is still n...

Diagnostic errors are the most frequent non-operative medical errors. Diagnosis should be more data-driven than trial-anderror. Machine Learning provides techniques for classification and regression purposes which can be used for solving diagnostic problems in different medical domains. Predictive analysis of fatal ailments like cancer using existing data can serve as a diagnosis tool for docto...

More than half of patients with high spinal cord injury (SCI) suffer from episodes autonomic dysreflexia (AD), a condition that can lead to lethal situations, such as cerebral haemorrhage, if not treated correctly. Clinicians assess AD using clinical variables obtained the patient’s history and physiological invasively non-invasively. This work aims design machine learning-based system assist i...

Proton exchange membrane fuel cells are considered a promising power supply system with high efficiency and zero emissions. They typically work within relatively narrow range of temperature humidity to achieve optimal performance; however, this makes the difficult control, leading faults accelerated degradation. Two main approaches can be used for diagnosis, limited data input which provides an...

This article presents a vibration diagnostic method designed for Permanent Magnets (PM) electrical machines–traction motors and generators. Those machines are commonly used in traction drives of electrical vehicles and small wind or water systems. The described method is very innovative and unique. Specific structural properties of machines excited by permanent magnets are used in this method e...

For clinical decision support systems designed to help physicians make diagnostic decisions, “disease similarity” data is highly valuable in that they allow continuous recommendation of diagnostic candidates. To build such a recommendation algorithm, this paper explores a method to measure disease similarity between diseases on a simplified disease knowledge base. Our disease knowledge base com...