Abstract
As more and more probabilistic networks are being developed for medical applications, the question arises as to their value for clinical practice. Often the clinical value of a network is expressed as the percentage correct of predicted overall outcome, based upon an evaluation study using real-life patient data. In this paper, we propose another method of evaluation that focuses on intermediate outcomes of interest. We illustrate this method for a real-life probabilistic network for the staging of oesophageal cancer and show that it can provide valuable information in addition to a percentage correct.
Cite
CITATION STYLE
van der Gaag, L. C., & Renooij, S. (2001). On the evaluation of probabilistic networks. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 2101, pp. 457–461). Springer Verlag. https://doi.org/10.1007/3-540-48229-6_62
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