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| Content Provider | ACM Digital Library |
|---|---|
| Author | Bastos, Alexsandro Beserra Sene Júnior, Iwens Gervásio Bulcão-Neto, Renato de Freitas |
| Abstract | This paper contributes with a knowledge representation model of the human vital sign monitoring activity based on Semantic Web specifications for ontologies and Horn-like rules. The proposed model is founded in interviews with intensive care units professionals, medical and nursing literature, and the reuse of existing ontologies. As a result, this work contributes with an ontology describing vital signs, actors and temporal information involved in monitoring, a set of requirements underlying to that model, and dozens of Horn-like rules describing alarms and the respective abnormal values for each vital sign. |
| Starting Page | 13 |
| Ending Page | 16 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450332309 |
| DOI | 10.1145/2664551.2664584 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2014-11-18 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Semantic web Owl Vital sign Swrl Monitoring |
| Content Type | Text |
| Resource Type | Article |
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