Although advances in machine-learning healthcare applications promise great potential for
innovative medical care, few data are available on the translational status of these new …

In this paper, we investigate the predictive factors of hospital admissions from the
emergency department (ED) in various classification models and evaluate their …

Weekend discharges occur less frequently than discharges on weekdays, contributing to
hospital congestion. Artificial intelligence algorithms have previously been derived to predict …

Background The problem of correct inpatient scheduling is extremely significant for
healthcare management. Extended length of stay can have negative effects on the supply of …

Emergency departments are characterized by the need for quick diagnosis under pressure.
To select the most appropriate treatment, a series of rules to support decision-making has …

Aims There is no universally accepted tool for the risk stratification of syncope patients in the
Emergency Department. The aim of this study was to investigate the short-term predictive …

Biologically-inspired computing is an interdisciplinary research domain that brings together
principles from mathematics, computer science and biology in order to develop intelligent …

This manuscript focuses on the sustainability of a European Union project, funded by the
Alpine Space Programme. This project aims to develop an innovative care model based on …

Background CoNSENSo is a project funded by the European Union, which is aimed at
developing an innovative care model based on community nurses to support active ageing …

Summary Background Community Nurse Supporting Elderly iN a changing SOciety is a
project funded by the European Union, which is aimed at developing an innovative care …