Unsupervised Learning Approaches for Identifying ICU Patient Subgroups: Do Results Generalise?

arXiv:2403.02945v1 Announce Type: new
Abstract: The use of unsupervised learning to identify patient subgroups has emerged as a potentially promising direction to improve the efficiency of Intensive Care Units (ICUs). By identifying subgroups of patients with similar levels of medical resource need, ICUs could be restructured into a collection of smaller subunits, each catering to a specific group. However, it is unclear whether common patient subgroups exist across different ICUs, which would determine whether ICU restructuring could be operationalised in …

abstract arxiv collection cs.lg efficiency identify medical patient patients results subgroups type units unsupervised unsupervised learning