4 papers
AutoML-Med: A Framework for Automated Machine Learning in Medical Tabular Data
Riccardo Francia, Maurizio Leone, Giorgio Leonardi +4
Medical datasets are typically affected by issues such as missing values, class imbalance, a heterogeneous feature types, and a high number of features versus a relatively small nu…
Graph Neural Networks for Gut Microbiome Metaomic data: A preliminary work
Christopher Irwin, Flavio Mignone, Stefania Montani +1
The gut microbiome, crucial for human health, presents challenges in analyzing its complex metaomic data due to high dimensionality and sparsity. Traditional methods struggle to ca…
Structural Positional Encoding for knowledge integration in transformer-based medical process monitoring
Christopher Irwin, Marco Dossena, Giorgio Leonardi +1
Predictive process monitoring is a process mining task aimed at forecasting information about a running process trace, such as the most correct next activity to be executed. In med…
Towards an educational tool for supporting neonatologists in the delivery room
Giorgio Leonardi, Clara Maldarizzi, Stefania Montani +2
Nowadays, there is evidence that several factors may increase the risk, for an infant, to require stabilisation or resuscitation manoeuvres at birth. However, this risk factors are…