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

Research on Molecular Property Prediction Model Base on Random Forest and LSTM Network

Abstract: In today's scientific research, the application of advanced technologies such as machine learning, deep learning and Bayesian optimization is increasingly widespread. They are integrated ...
IEEE

A Multi-Algorithm Stacking Approach to Lung Cancer Detection with SVM, GBM, Naive Bayes, Decision Tree, and Random Forest Models

Abstract: Lung health is one of the most minor medical issues globally because of its low mortality rate and high chance of early detection. The model presented here is a multi-model design that uses ...