A probabilistic ontology-based platform for self-learning context-aware healthcare applications
作者：
Highlights：
• The architecture of a self-learning, ontology-based framework is presented.
• Framework enables context-aware applications to change their behavior at run-time.
• Knowledge added to the ontology is given a probability to convey its reliability.
• An implemented use case is presented: mining the reasons for patients’ nurse calls.
• Datasets of size >1000 with <5% noise yield correct results in negligible time.
摘要
•The architecture of a self-learning, ontology-based framework is presented.•Framework enables context-aware applications to change their behavior at run-time.•Knowledge added to the ontology is given a probability to convey its reliability.•An implemented use case is presented: mining the reasons for patients’ nurse calls.•Datasets of size >1000 with <5% noise yield correct results in negligible time.
论文关键词：Context-aware,Self-learning,Ontology,Probability,eHealth,Nurse call system
论文评审过程：Available online 25 July 2013.
论文官网地址：https://doi.org/10.1016/j.eswa.2013.07.038
