Lupus Science & Medicine

Adverse childhood experiences are associated with disease and mental health outcomes in childhood-onset SLE

Objective To investigate the relationship between adverse childhood experiences (ACEs) and health outcomes in childhood-onset ...
Journal of Medical Internet Research

Beyond Comparing Machine Learning and Logistic Regression in Clinical Prediction Modelling: Shifting from Model Debate to Data Quality

The rapid uptake of supervised machine learning (ML) in clinical prediction modelling, particularly for binary outcomes based on tabular data, has sparked debate about its comparative advantage over ...
Scientific Research Publishing

Latent Profiles of Non-Suicidal Self-Injury and the Mediating Role of Rumination among University Students ()

This study investigated heterogeneous subtypes of non-suicidal self-injury (NSSI) among college students and examined the psychosocial predictors of high-risk profiles to guide precision interventions ...
IEEE

Comparative Analysis of the Efficiency of Synthetic Data Generation Methods in Classification and Regression Problems

Abstract: The use of synthetic data has become an increasingly relevant approach in machine learning, especially in situations involving limited, imbalanced, or sensitive datasets. This study presents ...
IEEE

A Comparative Analysis of Logistic Regression and Random Forest Algorithm for Cyber Attacks Classification

Abstract: This research aims to compare the performance of Logistic Regression and Random Forest algorithms in classifying cyber-attack types. Using a data set consisting of 494,021 data points with ...
Visual Studio Magazine

Decision Tree Regression from Scratch Using JavaScript

Decision tree regression is a fundamental machine learning technique to predict a single numeric value. A decision tree regression system incorporates a set of virtual if-then rules to make a ...