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» An ontology-driven system for detecting global health events
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WMCSA
2008
IEEE
14 years 4 days ago
HealthSense: classification of health-related sensor data through user-assisted machine learning
Remote patient monitoring generates much more data than healthcare professionals are able to manually interpret. Automated detection of events of interest is therefore critical so...
Erich P. Stuntebeck, John S. Davis II, Gregory D. ...
BMCBI
2008
116views more  BMCBI 2008»
13 years 5 months ago
Structuring an event ontology for disease outbreak detection
Background: This paper describes the design of an event ontology being developed for application in the machine understanding of infectious disease-related events reported in natu...
Ai Kawazoe, Hutchatai Chanlekha, Mika Shigematsu, ...
SWWS
2008
13 years 7 months ago
Multi-Modal Health and Activity Monitoring Framework for Elderly People at Home
- Since the population of elderly people grows absolutely and in relation to the overall population in the world, the improvement of the quality of life of elderly people at home i...
Ross Velentzas, Andy Marsh, Christos Biniaris, Jer...
HYBRID
2001
Springer
13 years 10 months ago
Accurate Event Detection for Simulating Hybrid Systems
It has been observed that there are a variety of situations in which the most popular hybrid simulation methods can fail to properly detect the occurrence of discrete events. In th...
Joel M. Esposito, Vijay Kumar, George J. Pappas
IEEECIT
2010
IEEE
13 years 4 months ago
Predicting Events for the Simulation of Hybrid Systems
The quality of the numeric simulation of hybrid systems highly depends on the capability of the simulator to detect discrete events during continuous evolutions. Due to the intera...
Kerstin Bauer, Klaus Schneider