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 ...

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

Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...

EV Sales Prediction in India using Machine Learning. Forecasts electric vehicle sales across Indian states with interactive visualizations and a modern web UI.

1 Information System Department, Faculty of Commerce and Business Administration Helwan University, Cairo, Egypt. 2 Computer Science Department, Faculty of Computer and Artificial Intelligence, Helwan ...

Abstract: Machine learning has become progressively sophisticated and sturdy due to the development of new algorithms. A compelling application is observed in general is the prediction of the house ...

Abstract: An electric power system is expected to continuously operate in safe conditions at all times and in all configurations. Modern electric power systems have dynamic characteristics with ...

State Key Laboratory for Oncogenes and Related Genes, Division of Cardiology, Renji Hospital, School of Medicine, Shanghai Jiao Tong University, Shanghai Cancer Institute, Shanghai, China The high ...