نتایج جستجو برای: machine diagnostic
تعداد نتایج: 551731 فیلتر نتایج به سال:
I n February 1997, a proposal to develop diagnostic ultra-sound (U/S) skills for emergency physicians at Surrey Memorial Hospital was presented to the Diagnostic Imaging (DI) Department and subsequently to the Medical Advisory Committee. To our surprise, this was accepted in principle, with no resistance. With the support of DI, maternity and emergency medicine developed a joint proposal to pur...
echocardiography plays a fundamental role in the evaluation of patients with an intracardiac mass. the ability to distinguish tissue characteristics, location, attachment, shape, size, and mobility non-invasively, quickly, and without the use of ionizing radiation makes echocardiography the ideal diagnostic modality. with careful attention to mass location and morphology, and appropriate applic...
bladder cancer is the fifth most common cancer with significant morbidity and mortality. recently, numerous studies demonstrated that micrornas are emerging as diagnostic biomarkers for bladder cancer. specific mirna profiles have been identified for several samples from patients with bladder cancer. micrornas are noncoding rna molecules of approximately 23 nucleotides that play important roles...
background: dna extraction is one the most important steps for molecular analysis of food-borne pathogens. in this research, three methods of dna extractions from beef harboring sarcocystis spp. were compared for the quality, quantity, safety, as well as cost-effectiveness. methods: about 100 mg intersostal and diaphragm were collected from 10 slaughtered cattle. after ensuring their contaminat...
since it is essential to deliver smoothed sinusoidal voltage to the customers, diagnosing power quality (pq) events has played important role in power delivery and conversion. this diagnostic scheme should be accurate to classify pq events from other events in power system. also it should be fast enough to rapidly mitigate pq events. in this paper, an algorithm based on core vector machine (cvm...
Alzheimer's disease is characterized by impaired glucose metabolism and demonstration of amyloid plaques. Individual positron emission tomography tracers may reveal specific signs of pathology that is not readily apparent on inspection of another one. Combination of multitracer positron emission tomography imaging yields promising results. In this paper, 57 Alzheimer's disease neuroimaging ini...
One of the most important methods for transformers fault diagnosis (especially mechanical defects) is the frequency response analysis (FRA) method. The most important step in the FRA diagnostic process is to differentiate the faults and classify them in different classes. This paper uses the intelligent support vector machine (SVM) method to classify transformer faults. For this purpose, two gr...
Clinical electromyography (EMG) provides useful information for the diagnosis of neuromuscular disorders. The utility of artificial neural networks (ANN's) in classifying EMG data trained with backpropagation or Rohonen's self-organizing feature maps algorithm has recently been demonstrated. The objective of this study is to investigate how genetics-based machine learning (GBML) can be applied ...
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