Scientific Research Publishing

Performance of Different Machine Learning Algorithms for Credit Risk Classification ()

1 Department of Information Technology and Computer Science, School of Computing and Mathematics, The Cooperative University of Kenya, Nairobi, Kenya. 2 Department of Computing and Informatics, School ...
Scientific Research Publishing

Predicting Primary School Student Dropout Risk: A Machine Learning Framework for Early Intervention ()

Student dropout in primary education is a critical global challenge with significant long-term societal and individual consequences. Early identification of at-risk students is a crucial first step ...
GitHub

hendurhance/nigerian-fraud-detection-dissertation

This repository contains the complete implementation of a BSc Statistics dissertation investigating supervised learning approaches for fraud risk scoring in Nigerian financial transactions. The ...
IEEE

Predicting Mental Health Issues Among Employees Using a Hybrid Logistic Regression and Random Forest-Based Monitoring System

Abstract: Mental health is now a world concern that affects significantly the personal and working life of most individuals. The World Health Organization (WHO) concluded that over 20 % of the world ...
Frontiers

Machine learning-based prognostic prediction model of pneumonia-associated acute respiratory distress syndrome

Department of Pulmonary and Critical Care Medicine, The First Batch of Key Disciplines on Public Health in Chongqing, Second Affiliated Hospital of Chongqing Medical University, Chongqing, China ...
Frontiers

Machine learning prediction and interpretability analysis of high-risk chest pain: a study from the MIMIC-IV database

Background: High-risk chest pain is a critical presentation in emergency departments, frequently indicative of life-threatening cardiopulmonary conditions. Rapid and accurate diagnosis is pivotal for ...
IEEE

Diabetes Prediction with Random Forest - Logistic Regression algorithm using voting classifier

Abstract: A commonly recognized chronic metabolic condition known as Diabetes mellitus significantly affects the global, social and economic standing of people. Obesity, age, high blood pressure, ...
Hacker

Overview of Machine Learning Classifiers Used in Readmission Prediction

A suite of ML models—Logistic Regression, Random Forest, KNN, SVM, Gaussian Naive Bayes—was used to predict patient readmission. (1) Rasoul Samani, School of Electrical and Computer Engineering, ...