Medical disease analysis using Neuro-Fuzzy with Feature Extraction Model for classification
Medical disease classification using machine learning algorithms is a challenging task due to the nature of data, which can contain incomplete, uncertain, and imprecise information. The availability of such information in the dataset affects the performance of the classification model. In this paper...
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Published in | Informatics in medicine unlocked Vol. 18; p. 100288 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Elsevier Ltd
2020
Elsevier |
Subjects | |
Online Access | Get full text |
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