Medical Dialogues

Severity of Periodontitis linked to Socioeconomic and Metabolic Factors, suggests research

A new study published in the Journal of Periodontology showed that a lower severity of periodontitis was linked to a larger ...
IEEE

Fuzzy LASSO Logistic Regression: A Regularized Framework for Interpretable Binary Classification Under Uncertainty

Abstract: Fuzzy classification models are important for handling uncertainty and heterogeneity in high-dimensional data. Although recent fuzzy logistic regression approaches have demonstrated ...
Scientific Research Publishing

Heart Disease Prediction: A Logistic Regression Approach ()

1 School of Computing and Data Science, Wentworth Institute of Technology, Boston, USA. 2 Department of Computer Science and Quantitative Methods, Austin Peay State University, Clarksville, USA. 3 ...
Visual Studio Magazine

Tsetlin Machine Binary Classification Using C#

The goal of a machine learning binary classification problem is to predict a variable that has exactly two possible values. For example, you might want to predict the sex of a company employee (male = ...
Scientific Research Publishing

Midi, H., Sarkar, S.K. and Rana, S. (2010) Collinearity Diagnostics of Binary Logistic Regression Model. Journal of Interdisciplinary Mathematics, 13, 253-267.

ABSTRACT: This study addresses the research question: What is the effect of higher education liberalization on the regional distribution of universities and educational attainment in Zambia? The ...
Frontiers

Development of artificial neural network model for predicting the rapid maxillary expansion technique in children with cleft lip and palate

Aim: The study aimed to determine the mid-palatal suture (MPS) maturation stages and to develop a binary logistic regression model to predict the possibility of surgical or non-surgical rapid ...