The Lancet

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

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

Criteria to Assess the Predictive and Clinical Utility of Novel Models, Biomarkers, and Tools for Risk of Cardiovascular Disease: A Scientific Statement From the American Heart ...

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 ...
IEEE

OmniMamba: Omnidirectional Scanning Meets State Space Models for Efficient Hyperspectral Image Classification

Abstract: Accurate classification of hyperspectral images (HSI) is crucial for earth observation and agricultural production analysis, yet remains challenging due to high dimensionality, spectral ...
IEEE

PGSMamba: Prompt-Guided Shuffle State Space Model for Hyperspectral Image Classification

Abstract: Hyperspectral image classification demands models capable of efficiently capturing complex spectral–spatial relationships and long-range dependencies. Despite significant advances in CNNs ...