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 ...

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

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 ...

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 ...

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.