Advances in Modelling Hospital Medical Wards
Advances in Modelling Hospital Medical Wards (Springer).
The growth of elder population in Italy increased the access to Internal medicine wards and generated overcrowding issues with doctors treating patients with larger clinical complexity and needs. The patients in medical wards exhibit multiple pathologies, with a burden of activities, risks, and costs for
health systems, mining their sustainability.
[...]
In this study we focus on the use of unsupervised learning algorithms
(namely Self-organizing Maps -SOMs- combined to K-means clustering)
to group patients belonging to specific Diagnosis Related Groups
(DRGs) and to examine how the SOM can help to find the main features of the
clusters, to provide a more effective grouping methodology with respect to
resource utilization.
Quelle: Springer, 27.09.2022