Open Heart

Enhanced cardiovascular disease risk prediction using integrated machine learning models: a study from the UK Biobank cohort

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk ...
News-Medical.Net

Gut bacteria patterns help predict insulin resistance in type 2 diabetes, study finds

Researchers used 16S rRNA sequencing and machine learning to identify gut microbiome patterns associated with insulin resistance severity in people with type 2 diabetes. XGBoost models showed that ...

A few weeks of X's algorithm can make you more right-wing—and it doesn't wear off quickly

A new study published in Nature has found that X's algorithm—the hidden system or "recipe" that governs which posts appear in your feed and in which order—shifts users' political opinions in a more ...
IEEE

Vegetable Sales Forecasting Based on XGBOOST Algorithm and Random Forest

Abstract: This paper explores the forecasting of vegetable sales and the optimization of procurement strategies using the XGBOOST algorithm and random forest methodology. The study begins by utilizing ...
GitHub

Project Title: Feature Engineering and Imbalanced Data in Money Laundering Detection: A Comparative Study of ML Algorithms

This project primarily used the small dataset with a high illicit ratio, which contains 5,078,345 financial transactions spanning 10 days.It effectively addresses challenges such as overlap and ...
IEEE

Beyond the Ground Truth, XGBoost Model Applied to Sleep Spindle Event Detection

Abstract: Sleep spindles are microevents of the electroencephalogram (EEG) during sleep whose functional interpretation is not fully clear. To streamline the identification process and make it more ...