The goal of ham is to provide different modeling approaches to evaluating healthcare programs (or programs in other fields) with regression analysis. This includes standard regression methods like ...

ABSTRACT: Introduction: Biopsy procedures represent an essential diagnostic tool in the management of oral lesions. This study aims to evaluate the knowledge, attitudes, and practices of dental ...

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 ...

Abstract: The classification problem represents a funda-mental challenge in machine learning, with logistic regression serving as a traditional yet widely utilized method across various scientific ...

Abstract: This study introduces a novel approach to example selection in few-shot learning scenarios for dialog intent classification, leveraging logistic regression to refine the set of examples ...

1 Department of Nursing, Harbin Medical University, Harbin, China 2 Department of Nursing, Affiliated Hospital of Changchun University of Traditional Chinese Medicine, Changchun, China Objective: This ...