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Fig. 9 | BMC Medical Informatics and Decision Making

Fig. 9

From: Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networks

Fig. 9

Training method for the recommender system. We train two different models based on the whole data set (Model 1) and a dataset consisting only of positive outcomes (Model 2). After that, we use both models to make different predictions. If there is a matching in the predictions, then Prediction 1 is used as the standard with high confidence; otherwise, predictions from Model 2 are provided but have low confidence

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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