Detection of epidemic outbreaks with Persistent Causal-Chain Dynamic Bayesian Networks
US7792779B2 · kind B2 · utility
3Cited by
0References
12Claims
0Family size
Assignee
Inventor
Key dates
| Filing date | Jun 5, 2007 |
| Grant date | Sep 7, 2010 |
| Priority date | — |
| Expiry date | Apr 29, 2029 |
Classification
- Technology area (CPC G)Physics
- CPC primaryG16Z99/00
- WIPO fieldComputer technology
- WIPO sectorElectrical engineering
Abstract
A method for determining a probability of a hidden variable from an observed variable in a Dynamic Bayesian Network is presented. The method includes identifying the network based on predetermined criteria, determining a number of hidden variables in a time slice of the network, determining a number of the time slices of the network, and determining the probability of the hidden variable from the observed variable in less than exponential time with respect to the number of hidden variables.
Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.