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Bayesian Neural Networks in Predictive Neurosurgery
Benjamin W Y Lo1, Hitoshi Fukuda2
1Department of Neurosurgery, Queen Mary Hospital, Hong Kong Hospital Authority, Pok Fu Lam, Hong Kong.
Abstract:
"Bayesian Neural Networks in Predictive Neurosurgery" explains both conceptually and theoretically the combination of statistical techniques for clinical prediction models, including artificial neural networks, Bayesian regression, and Bayesian neural networks. This clinical prediction system incorporates both prior knowledge and one's own experiences (Bayesian analysis) as well as recognizes complex statistical associations between prognostic and outcome variables (artificial neural networks).
