Journal of NeuroInterventional Surgery

Medical and endovascular treatment for acute large vessel occlusion with mild stroke: a real-world nationwide registry

Background Endovascular therapy (EVT) is standard treatment for large vessel occlusion in patients with a National Institutes ...
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 ...
BMJ

Burden of abnormal nutritional indices among women aged 15–24 years in 40 low-income and middle-income countries: a multilevel multinomial logistic regression analysis

Background Despite global efforts to improve nutrition, young women aged 15–24 years in low-income and middle-income countries (LMICs) face persistent dual burdens of malnutrition, marked by high ...
IEEE

Improving Parkinson's Disease Prediction Accuracy: A Comparative Analysis of Logistic Regression and Decision Tree Models

Abstract: This study aims to determine the effectiveness of predicting Parkinson's Disease and to evaluate the accuracy of different predictive models. Specifically, it compares the performance of ...
IEEE

Comparative Analysis of Titanic Data Prediction Using Logistic Regression and Support Vector Machine for Enhanced Accuracy

Abstract: In the context of evaluating machine learning algorithms for binary classification tasks, predicting passenger survival on the Titanic provides a practical benchmark. The research aims to ...
Scientific Research Publishing

Mehta, C.R. and Patel, N.R. (1995) Exact Logistic Regression: Theory and Examples. Statistics in Medicine, 14, 2143-2160.

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 ...
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Logistic Regression Machine Learning Example ¦ Simply Explained

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 ...