Our paper "Neuro-symbolic Artificial Intelligence for Patient Monitoring", which has been accepted at the PharML workshop (https://sites.google.com/view/pharml2023/home) at the ECML23 (https://ecmlpkdd.org/2023/), has been published at Springer Nature as part of the series "Machine Learning and Principles and Practice of Knowledge Discovery in Databases“.
In this paper we argue that Neuro-Symbolic AI (NeSy-AI) should be applied for patient monitoring. In this context, we introduce patient monitoring as a special case of Human Activity Recognition and derive concrete requirements for this application area. We then present a process architecture and discuss why NeSy-AI should be applied for patient monitoring. To further support our argumentation, we show how NeSy-AI can help to overcome certain technical challenges that arise from this application area.
(DOI: 10.1007/978-3-031-74640-6_2)