Open Heart

Artificial intelligence-based clustering to identify functional risk phenotypes in heart failure

Background Patients with heart failure (HF) frequently suffer from undetected declines in cardiorespiratory fitness (CRF), which significantly increases their risk of poor outcomes. However, current ...
Scientific Research Publishing

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ()

A Hybrid Machine Learning Framework for Early Diabetes Prediction in Sierra Leone Using Feature Selection and Soft-Voting Ensemble ...
IEEE

Fraud Detection and Analysis System for Car Insurance Claim Using Random Forest Classifier

Abstract: In recent years, commercial insurers have faced many cases of fraud in all types of claims. Fraud claims have been huge in amount and can cause serious problems. As a result, various ...
IEEE

Wi-Fi based indoor location positioning employing random forest classifier

Abstract: Location positioning in indoor environments is a major challenge. Various algorithms have been developed over years to address the problem of indoor positioning. One of the most cost ...