Bayesian Neural Networks in Predictive Neurosurgery.

Journal: Advances in experimental medicine and biology
Published Date:

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).

Authors

  • Benjamin W Y Lo
    Department of Neurosurgery, Queen Mary Hospital, Hong Kong Hospital Authority, Pok Fu Lam, Hong Kong.
  • Hitoshi Fukuda
    Department of Neurosurgery, Kochi University Hospital, Kochi, Japan.