نتایج جستجو برای: learning health system
تعداد نتایج: 3532153 فیلتر نتایج به سال:
Machine learning (ML) is a powerful tool that delivers insights hidden in Internet of Things (IoT) data. These hybrid technologies work smartly to improve the decision-making process different areas such as education, security, business, and healthcare industry. ML empowers IoT demystify patterns bulk data for optimal prediction recommendation systems. Healthcare has embraced so automated machi...
background: medial educations' models should train physicians with competencies and commitment to meet health needs in the community. this social accountability in medical education is not a new concept but provides equity, quality, relevance and cost-effectiveness in health care system. the aim of this study was to assess the knowledge of faculty members towards the situation and activiti...
results this study showed that the existence of unused drugs and the number of unused drugs in household have significant difference in four zones (p = 0.01, p < 0.001). also, health insurance coverage was statistically different in various health centers (p = 0.002). also, there is a significant association between unused medication in the household and family size, father’s occupation, and a ...
like many other developing countries pharmacoeconomics and outcome research and its applications in national health system is a new but promising filed in iran. although decision makers of iran national health system decided to use pharmacoeconomics in the decision making approach several hurdles including lack of reliable national data, lack of expertise and local experience are the main chall...
nowadays, it has demonstrated that viruses can be transmitted by water and foods. therefore, it causes the research to develop for detecting different viruses in water and foods. among foods, milk can transfer potentially pathogenic viruses. on the other hand, to achieve every method for recovery and extraction of viruses in raw milk it needs to know about impact of milk components on viruses. ...
Background: Today, e-learning to patients is done more easily and more attractive along with text, audio, image and video as a new training method. But despite of many advantages of e-learning effectiveness in self care, it is observed in practice that in clinical settings and even educational environment performance of professional individuals is not appropriate in patient education. And due t...
Introduction: Learning management system is one of the most effective methods in teaching and learning The present study aims to identify and categorize effective factors on the effectiveness of this system from students' point of view. Methods: The present study uses exploratory and '' Q method'. The study participants were Students of Isfahan University of Medical Sciences in academic year 2...
unknown noise and artifacts present in medical signals with non-linear fuzzy filter will be estimate and then removed. an adaptive neuro-fuzzy interference system which has a nonlinear structure presented for the noise function prediction by before samples. this paper is about a neuro-fuzzy method to estimate unknown noise of electrocardiogram (ecg) signal. adaptive neural combined with fuzz...
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