Clinical databases collect large volume of data. Relationships and patterns within these data
could provide new medical knowledge. Temporal data mining has as major scope the …

This paper aims to predict the risk of Acute Kidney Injury (AKI) in intensive care units (ICUs)
using machine learning techniques and statistical approaches. The data used in the study …

In this paper, we propose a methodology for deriving a new kind of approximate temporal
functional dependencies, called Approximate Predictive Functional Dependencies (APFDs) …

It has been proved that patients on the way to pancreatic surgery could benefit from a set of
activities to improve their psycho-physical status. The Enhanced Recovery After Surgery …

Swarm Learning (SL) has been recently proposed for distributed learning, where a group of
individual centers perform a synchronized training. Unlike traditional machine learning …

Patients, whether they are currently hospitalized or cured at home via telemedicine, are
constantly monitored by stationary/wearable devices that provide accurate, yet an …

Illegal recruitment in agriculture is an issue that affects many different aspects, from the
workers' physical and psychological health conditions to the overall economy. This …

The Business Process Modeling Notation (BPMN) is a diagrammatical notation to describe
complex process models, and it can be used as a common language among stakeholders …

In the last decades, the increasing amount of data available in all fields raises the necessity
to discover new knowledge and explain the hidden information found. On one hand, the …