Modeling electroencephalography waveforms with semi-supervised deep belief nets: fast classification and anomaly measurement. [electronic resource]
Producer: 20111130Description: 036015 p. digitalISSN:- 1741-2552
- Algorithms
- Artificial Intelligence
- Brain -- physiopathology
- Computer Simulation
- Diagnosis, Computer-Assisted -- methods
- Electroencephalography -- methods
- Epilepsy -- diagnosis
- Humans
- Models, Neurological
- Nerve Net -- physiology
- Pattern Recognition, Automated -- methods
- Reproducibility of Results
- Sensitivity and Specificity
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Publication Type: Journal Article; Research Support, N.I.H., Extramural; Research Support, Non-U.S. Gov't
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