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Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets

Many real-world medical datasets contain some proportion of missing (attribute) values. In general, missing value imputation can be performed to solve this problem, which is to provide estimations for the missing values by a reasoning process based on the (complete) observed data. However, if the ob...

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Detalhes bibliográficos
Main Authors: Min-Wei Huang, Wei-Chao Lin, Chih-Fong Tsai
Formato: Artigo
Idioma:Inglês
Publicado em: Hindawi Limited 2018-01-01
Colecção:Journal of Healthcare Engineering
Acesso em linha:http://dx.doi.org/10.1155/2018/1817479
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