Prediction of survival in patients with esophageal carcinoma using artificial neural networks

Accurate estimation of outcome in patients with malignant disease is an important component of the clinical decision‐making process. To create a comprehensive prognostic model for esophageal carcinoma, artificial neural networks (ANNs) were applied to the analysis of a range of patient‐related and tumor‐related variables.

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