Listar por tema "data models"
Mostrando ítems 1-2 de 2
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Explainable prediction of chronic renal disease in the Colombian population using neural networks and case-based reasoning
(IEEE Access, 2019)This paper presents a neural network-based classifier to predict whether a person is at risk of developing chronic kidney disease (CKD). The model is trained with the demographic data and medical care information of two ... -
Improving supervised learning classification methods using multi-granular linguistic modelling and fuzzy entropy
(IEEE Transactions on Fuzzy Systems, 10/2017)Obtaining good classification results using supervised learning methods is critical if we want to obtain a high level of precision in the classification processes. The training data used for the learning process plays a ...
