Participants Households across the country were randomly selected to provide a nationally representative sample. Respondents were persons ... and urban households with children. Multivariable logistic ...

Using a high sensitivity troponin assay, for example, over half of elderly patients who ... variables were then entered into a multivariate analysis by forward stepwise logistic regression (p<0.05 for ...

Logistic Regression is a widely used model in Machine Learning. It is used in binary classification, where output variable can only take binary values. Some real world examples where Logistic ...

Rigorous study design and analytical standards are required to generate reliable findings in healthcare from artificial intelligence (AI) research. One crucial but often overlooked aspect is the ...

Physics is the search for and application of rules that can help us understand and predict the world around us. Central to physics are ideas such as energy, mass, particles and waves. Physics ...

AP includes these business obligations: For example, when a restaurant orders $2,000 worth of ingredients from a food supplier and has a payment due in 30 days, it creates an AP entry for the same ...

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