FinanceFeeds

Crypto Machine Learning Algorithms Explained for Beginners

Supervised learning algorithms like Random Forests, XGBoost, and LSTMs dominate crypto trading by predicting price directions ...
BMJ

Machine learning methods, applications and economic analysis to predict heart failure hospitalisation risk: a scoping review

Background Machine Learning (ML) has been transformative in healthcare, enabling more precise diagnostics, personalised treatment regimens and enhanced patient care. In cardiology, ML plays a crucial ...
IEEE

Development of a GUI-Based Decision Support System for Stroke Risk Prediction Using DPB-SMOTE and Gradient Boost

Abstract: Stroke is one of the leading causes of death and disability worldwide. Early detection of stroke risk is critical for prevention but is often constrained by data imbalance in medical ...
IEEE

Extreme Gradient Boosting for Day-Ahead Photovoltaic Output Power Forecast Refinement

Abstract: The deployment of Photovoltaic (PV) systems benefits any energy system, provided that the corresponding uncertainties are mitigated by means of forecasting techniques. While nowcasting is ...