Neuro-symbolic Artificial Intelligence for Patient Monitoring

被引：0
|
作者：
Fenske, Ole [1 ]
Bader, Sebastian [1 ]
Kirste, Thomas [1 ]
机构：
[1] Rostock Univ, Albert Einstein Str 22, D-18059 Rostock, Germany
来源：
MACHINE LEARNING AND PRINCIPLES AND PRACTICE OF KNOWLEDGE DISCOVERY IN DATABASES, ECML PKDD 2023, PT IV | 2025年 / 2136卷
关键词：
neuro-symbolic; symbolic-subsymbolic; neural-symbolic; patient monitoring; human activity recognition;
D O I：
10.1007/978-3-031-74640-6_2
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
引用
收藏
页码：19 / 25
页数：7
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