Proper handling of continuous variables is crucial in healthcare research, for example, within regression modelling for descriptive, explanatory, or predictive purposes. However, inadequate methods ...

When training a logistic regression model, there are many optimization algorithms that can be used, such as stochastic gradient descent (SGD), iterated Newton-Raphson, Nelder-Mead and L-BFGS. This ...

Age regression is a form of therapy that encourages you to access and relive your memories by reverting to a younger state of mind. It can be self-induced or induced by a hypnotist or therapist.

Age regression is an unconscious return to an earlier stage of behavioral, emotional, or social development. It can be a sign of distress, trauma, or a mental health condition. Temporary age ...

The model that used age, gender, region, and the variant of COVID-19 as features showed both the highest AUC at 0.91 and the highest accuracy at 91%. This was followed by models that used fewer ...