Missing data imputation with fuzzy feature selection for diabetes dataset

Missing data in datasets remain as a difficulty in terms of data analysis in various research fields, especially in the medical field, as it affects the treatment and diagnosis that the patient should receive. In this research, Fuzzy c-means (FCM) are used to impute the missing data. However, like i...

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Bibliographic Details
Main Authors: Dzulkalnine, Mohamad Faiz, Sallehuddin, Roselina
Format: Article
Published: Springer Nature Switzerland AG 2019
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Online Access:http://eprints.utm.my/id/eprint/89605/
http://dx.doi.org/10.1007/s42452-019-0383-x
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Institution: Universiti Teknologi Malaysia