The Effects of Missing Data Characteristics on the Choice of Imputation Techniques

One major characteristic of data is completeness. Missing data is a significant problem in medical datasets. It leads to incorrect classification of patients and is dangerous to the health management of patients. Many factors lead to the missingness of values in databases in medical datasets. In thi...

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Bibliografiska uppgifter
Huvudupphovsmän: Oyekale Abel Alade, Ali Selamat, Roselina Sallehuddin
Materialtyp: Artigo
Språk:Inglês
Publicerad: World Scientific Publishing 2020-05-01
Serie:Vietnam Journal of Computer Science
Ämnen:
imputation techniques
mechanism of missingness
missing data
missing pattern
multiple imputations
Länkar:http://www.worldscientific.com/doi/pdf/10.1142/S2196888820500098
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