The system includes baseline models (Linear Regression, Random Forest, XGBoost) and advanced models (Neural Networks, Ensemble methods) with comprehensive evaluation and visualization capabilities.

Abstract: Precise forecasting of the Air Quality Index (AQI) is vital in environmental control and health management to the population in urban areas. This paper introduces a hybrid machine learning ...

Cardiovascular disease (CVD) remains the foremost contributor to global illness and death, underscoring the critical need for effective tools that can predict risk at early stages to support ...

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

We included studies using ML to predict preeclampsia in pregnant women. Bias was assessed using PROBAST (Prediction model Risk of Bias Assessment Tool). We calculated summary estimates using ...

Stroke is one of the leading causes of death and disability worldwide, making early screening and risk prediction crucial. Traditional methods have limitations in handling nonlinear relationships ...

A full sports season is a marathon. Early excitement gives way to midseason fatigue, injuries derail expectations, and not every matchup feels appointment-worthy. Yet many fans remain locked in from ...

Abstract: This is an environmental monitoring system that concentrates on examination of air quality levels based on Air Quality Index (AQI) as a parameter of measurement to keep the living ...

Copyright: © 2025 The Author(s). Published by Elsevier Ltd. Individual prediction uncertainty is a key aspect of clinical prediction model performance; however ...