| 摘要 |
The system uses personal health wireless sensor networks to upload data to a central health cue system and can be updated through the internet. The health cue system uses multi-agent ontology to determine the probability of a particularly disease being present. A concept hierarchy in a nosology domain with a mesh structure is constructed so as to present associated or dependant relationships between classes and subclasses of diseases, each node in the concept hierarchy being associated with a class of diseases or a disease. Linguistic concept models are defined across the hierarchy of disease attributes based on a label semantics framework. Artificial intelligence models are linked to each node. |
