Predicting genetic risk for type 1 diabetes just got more accurate thanks to machine learning study

In people with type 1 diabetes (T1D), the immune system shuts down the body's ability to make the hormone insulin, ...
Frontiers

Machine Learning and Artificial Intelligence for Optimizing the Diagnosis and Management of Cardiovascular Disease

Artificial intelligence (AI) and machine learning (ML) have emerged as transformative forces in the field of cardiovascular medicine. The increasing ...
IEEE

Enhancing Heart Attack Risk Prediction with Ensemble Machine Learning and Feature Engineering

heart disease continues to be the principal reason behind global deaths which imposes serious healthcare system complications. An innovative approach using ensemble machine learning models with ...
GitHub

Ransomware Detection Using Static Machine Learning Features

This project evaluates how effectively static features extracted from Windows Portable Executable (PE) files can distinguish ransomware from benign software using supervised machine learning. This ...
GitHub

Recession Prediction Using Machine Learning.Rmd

#To support data collection, analysis, and modeling, I use several R packages commonly applied in financial and economic analysis. The quantmod package is used to retrieve macroeconomic data directly ...
IEEE

Prediction of Optimal Nearest Delivery Personnel for Delivery of Products Using Support Vector Machine Against Logistic Regression Algorithm for Better Accuracy

Abstract: The goal of this research is to enhance the accuracy of online sales management by finding the most efficient logistics method from the manufacturer using machine learning techniques.