IEEE

The Impact of Dimensionality Reduction on Short-Term Rainfall Forecasting in Ireland Using LSTM and Prophet Models

Abstract: This study investigates the effectiveness of various machine learning approaches for short-term rainfall prediction in Ireland, focusing on forecasting daily rainfall amounts one day in ...
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 ...
IEEE

Studying the Impact of Dimensionality Reduction in Malware Detection

Abstract: Recently, researchers have relied on machine learning to develop effective and efficient malware detection approaches. However, one of the significant challenges of these techniques is the ...
The Lancet

When to and when not to use machine learning in risk prediction models

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Machine learning for health data science, fuelled by proliferation of data and reduced computational ...