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Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
Loading articles data…
Readable research linked to original sources
Browse normalized, publication-ready research with direct links to its evidence and source.
3 articles
Newest firstWhile algorithmic fairness research in healthcare has predominantly focused on disparities in model performance, less attention has been given to the underlying data structures that may drive such disparities. High-level fairness metrics often obscure the deeper feature-level dynamics necessary for a critical and context-aware assessment of fairness. To address this gap, we propose and apply a diagnostic framework…
Open article record in new tab ↗Algorithms play an increasingly prevalent role in healthcare, and are used to target interventions, reward performance, and distribute resources, including funding. Yet it is widely recognized that many algorithms used today may inadvertently encode and perpetuate biases and contribute to health inequities. Artificial intelligence algorithms, in addition to being assessed for accuracy, must be evaluated with respe…
Open article record in new tab ↗BackgroundSelf-harm is one of the most common presentations at accident and emergency departments in the UK and is a strong predictor of suicide risk. The UK Government has prioritised identifying risk factors and developing preventative strategies for self-harm. Machine learning offers a potential method to identify complex patterns with predictive value for the risk of self-harm. MethodsNational data in the UK M…