RMD Open

Systemic lupus erythematosus damage risk index (SLE-DRI): a simple machine learning-based tool for identifying patients at risk for early organ damage

Objective Organ damage is a key determinant of poor prognosis and increased mortality in systemic lupus erythematosus (SLE).
Lupus Science & Medicine

Breastfeeding determinants in Egyptian mothers with systemic lupus erythematosus or rheumatoid arthritis: a retrospective cohort study

Objective Breastfeeding prevalence and challenges among women of systemic lupus erythematosus (SLE) and rheumatoid arthritis ...
Frontiers

Prediction of bacteremia using routine hematological and metabolic parameters based on logistic regression and random forest models

Background: This study aimed to evaluate the predictive utility of routine hematological, inflammatory, and metabolic markers for bacteremia and to compare the classification performance of logistic ...
Yahoo

This Number System Beats Binary, But Most Computers Can’t Use It

The Babylonians used separate combinations of two symbols to represent every single number from 1 to 59. That sounds pretty confusing, doesn’t it? Our decimal system seems simple by comparison, with ...
BMJ

Using prodromal non-motor symptoms to predict Parkinson’s disease onset and motor phenotype

Background Non-motor symptoms are highly prevalent in prodromal Parkinson’s disease (PD); however, their impact on PD trajectory remains largely unexplored. We aimed to assess whether prevalent ...
IEEE

Comparative Analysis of Sparse Multinomial Logistic Regression and Convolutional Neural Networks for Multi-Class Image Classification

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 ...
GitHub

Mention that Binary Classification is also called Logistic Regression

Mention that Binary Classification is also called Logistic Regression #2642 Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the ...
IEEE

Prediction of Employee Attrition Classification and Retention Strategies Using Gradient Boosting with Binary Logistic Regression

Abstract: A voluntary or involuntary parting of an employee from an organization is known as and the strategies to maintain an employee are known as Employee attrition (turnover) and retention.