Objectives We aimed to understand the factors affecting psychological well-being of patients undergoing haemodialysis (HD). First, we explored how physical symptom severity, emotional distress and ...

The concept of risk is fundamental in several research areas, being the measures of risk associated to the probability of occurrence of an event of interest. Particularly in Public Health and ...

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 ...

You can create a release to package software, along with release notes and links to binary files, for other people to use. Learn more about releases in our docs.

Background: Sepsis is a life-threatening disease associated with a high mortality rate, emphasizing the need for the exploration of novel models to predict the prognosis of this patient population.

ABSTRACT: In view of the composition analysis and identification of ancient glass products, L1 regularization, K-Means cluster analysis, elbow rule and other methods were comprehensively used to build ...

Abstract: The purpose of this study is to perform efficient human action recognition utilising novel logistic regression, as compared to linear regression, with improved accuracy. There are a total of ...