Introduction to Bayesian Networks
Introduction to Bayesian Networks
Probabilities for a probabilistic network: a case study in oesophageal cancer
Artificial Intelligence in Medicine
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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.