Machine learning for health data science, fuelled by proliferation of data and reduced computational costs, has garnered ...

Risk prediction has been used in the primary prevention of cardiovascular disease for >3 decades. Contemporary cardiovascular risk assessment relies on multivariable models, which integrate ...

The Niño3.4 SST anomalies during 2020–2024 for reanalyses from GODAS (black dotted line) and predictions made by statistical (green dotted lines) and dynamic (blue dotted lines) models from the IRI ...

Statistical models predict stock trends using historical data and mathematical equations. Common statistical models include regression, time series, and risk assessment tools. Effective use depends on ...

A machine learning model incorporating functional assessments predicts one-year mortality in older patients with HF and improves risk stratification beyond established scores. Functional status at ...