Computational phenotyping uses data mining methods to extract clusters of clinical
descriptors, known as phenotypes, from electronic health records (EHR). Tensor …

Federated learning (FL) is a budding machine learning (ML) technique that seeks to keep
sensitive data private, while overcoming the difficulties of Big Data. Specifically, FL trains …

In recent times, the pervasiveness of multimodal data, particularly within the scope of
industrial engineering and operations research, has grown exponentially. A myriad of …

2 N. Gaw et al. by wearable devices can be integrated with lab tests and images for more
accurate patient prognostics [6, 26],(3) in agriculture, hyperspectral imaging along with …

Il Morbo di Parkinson è il disturbo neurologico con il più alto tasso di aumento nel mondo. I
progressi terapeutici, nonostante i recenti investimenti, sono stati scarsi nell'ultimo secolo …