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Community Health Worker Interventions For Latinos With Type 2 Diabetes: A Systematic Review Of Randomized Controlled Trials, Tariana V. Little, Monica L. Wang, Eida M. Castro, Julio Jiménez, Milagros C. Rosal Dec 2014

Community Health Worker Interventions For Latinos With Type 2 Diabetes: A Systematic Review Of Randomized Controlled Trials, Tariana V. Little, Monica L. Wang, Eida M. Castro, Julio Jiménez, Milagros C. Rosal

Tariana V. Little

This systematic review aimed to synthesize glucose (HbA1c) outcomes of community health worker (CHW)-delivered interventions for Latinos with type 2 diabetes that were tested in randomized controlled trials and to summarize characteristics of the targeted populations and interventions, including the background, training, and supervision of the CHWs. Searches of PubMed and Google Scholar databases and references from selected articles identified 12 studies that met the inclusion criteria. Of these, seven reported statistically significant improvements in HbA1c. Study participants were largely low-income, female, and Spanish-speaking and had uncontrolled diabetes. The CHWs led the interventions alone, in pairs, or as part of …


Fuzzy Mathematical Models For The Analysis Of Fuzzy Systems With Application To Liver Disorders, R.W. W. Hndoosh Oct 2014

Fuzzy Mathematical Models For The Analysis Of Fuzzy Systems With Application To Liver Disorders, R.W. W. Hndoosh

R. W. Hndoosh

The main objective of this model is to focus on how to use the model of fuzzy system to solve fuzzy mathematics problems. Some mathematical models based on fuzzy set theory, fuzzy systems and neural network techniques seem very well suited for typical technical problems. We have proposed an extension model of a fuzzy system to N-dimension, using Mamdani's minimum implication, the minimum inference system, and the singleton fuzzifier with the center average defuzzifier. Here construct two different models namely a fuzzy inference system and an adaptive fuzzy system using neural network. We have extended the theorem for accuracy of …


Fuzzy Mathematical Model For Detection Of Lung Cancer Using A Multi-Nfclass With Confusion Fuzzy Matrix For Accuracy, R.W. W. Hndoosh Sep 2014

Fuzzy Mathematical Model For Detection Of Lung Cancer Using A Multi-Nfclass With Confusion Fuzzy Matrix For Accuracy, R.W. W. Hndoosh

R. W. Hndoosh

and detection of lung cancer data. This model depends on a generic model of a fuzzy perceptron, which can be used to derive a neural fuzzy system for specific domains. The multi neuron-fuzzy classification (Multi-NFClass) model proposed that uses input, hidden layers, output, and subclasses that have a multitude in each class. This model derives fuzzy rules to classify patterns into a number of crisp classes. Firstly, an attempt is made to describe fuzzy if–then rules, and construction of the fuzzy if–then rule, that are determined by the simple steps when its antecedent fuzzy sets are specified by genetic operations, …


The Scientific Foundations Of The American Red Cross Cpr Training Standards, Richard N. Bradley Jun 2014

The Scientific Foundations Of The American Red Cross Cpr Training Standards, Richard N. Bradley

Richard N Bradley

The CPR (cardiopulmonary resuscitation) training and certification standards established by the ARC (American Red Cross) are based on a scientific review of the best available published literature. Minimal difference are present between the ARC and other national training organizations. These differences result from differing organizational opinions on the best way to implement standards from limited scientific evidence.