ML Anthology

A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator

Ross D. Shachter, David M. Eddy, Vic Hasselblad, Robert Wolpert
UAI 1987 pp. 183-190
/uai/1987/shachter1987uai-heuristic/

Abstract

This paper describes a heuristic Bayesian method for computing probability distributions from experimental data, based upon the multivariate normal form of the influence diagram. An example illustrates its use in medical technology assessment. This approach facilitates the integration of results from different studies, and permits a medical expert to make proper assessments without considerable statistical training.

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Text

Shachter et al. "A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator." Conference on Uncertainty in Artificial Intelligence, 1987.

Markdown

[Shachter et al. "A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator." Conference on Uncertainty in Artificial Intelligence, 1987.](https://mlanthology.org/uai/1987/shachter1987uai-heuristic/)

BibTeX

@inproceedings{shachter1987uai-heuristic,
  title     = {{A Heuristic Bayesian Approach to Knowledge Acquisition: Application to the Analysis of Tissue-Type Plasminogen Activator}},
  author    = {Shachter, Ross D. and Eddy, David M. and Hasselblad, Vic and Wolpert, Robert},
  booktitle = {Conference on Uncertainty in Artificial Intelligence},
  year      = {1987},
  pages     = {183-190},
  url       = {https://mlanthology.org/uai/1987/shachter1987uai-heuristic/}
}