Intelligent disease progression prediction: overview of iDPP@ CLEF 2022
Abstract Amyotrophic Lateral Sclerosis (ALS) is a severe chronic disease characterized by
progressive or alternate impairment of neurological functions, characterized by high …
progressive or alternate impairment of neurological functions, characterized by high …
An extensible and unifying approach to retrospective clinical data modeling: the BrainTeaser Ontology
Automatic disease progression prediction models require large amounts of training data,
which are seldom available, especially when it comes to rare diseases. A possible solution …
which are seldom available, especially when it comes to rare diseases. A possible solution …
[HTML][HTML] Develo** guidelines for functionally-grounded evaluation of explainable artificial intelligence using tabular data
Abstract Explainable Artificial Intelligence (XAI) techniques are used to provide transparency
to complex, opaque predictive models. However, these techniques are often designed for …
to complex, opaque predictive models. However, these techniques are often designed for …
[PDF][PDF] Predicting and Explaining Risk of Disease Worsening Using Temporal Features in Multiple Sclerosis.
We present an evaluation study of the usage of two different post-hoc model agnostic XAI
methods, namely SHAP and AraucanaXAI, to provide insights about the most predictive …
methods, namely SHAP and AraucanaXAI, to provide insights about the most predictive …