According to Local Interpretable Model-Agnostic Explanations (LIME) and Shapley Additive Explanations (SHAP) XAI algorithms, there was a drift in the features during and before COVID-19. Due to the ...

Predictive modeling in archaeological site location combines statistical and computational techniques with spatial analysis to estimate the likelihood of undiscovered cultural heritage across diverse ...

Introduction Chronic obstructive pulmonary disease (COPD) is a significant chronic respiratory condition characterised by persistent airway obstruction, leading to substantial morbidity and mortality ...

Introduction Coronary artery bypass grafting (CABG) remains one of the most commonly performed cardiac surgeries worldwide. Despite surgical advancements, a significant proportion of patients ...

Toolbox for normative modelling of neuroimaging and clinical data - PCNtoolkit/doc/pages/tutorials/07_model_comparison.rst at master · predictive-clinical ...

Across child protection services, frontline staff are often making decisions in the hardest possible conditions: under time pressure, with incomplete information and high stakes on every side. Get it ...

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ABSTRACT: Bipolar disorder (BD) is characterized by recurrent transitions between manic, depressive, and euthymic states, yet continuous symptom monitoring remains a major clinical challenge. We ...

Joseph Alderman et al argue that predictive models in healthcare lack adequate oversight and regulation. They highlight the potential risks to patients and call for improved governance to ensure the ...

Abstract: Provides society information that may include news, reviews or technical notes that should be of interest to practitioners and researchers.