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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Bibliographische Detailangaben
Hauptverfasser: Oyekale Abel Alade, Ali Selamat, Roselina Sallehuddin
Format: Artigo
Sprache:Inglês
Veröffentlicht: World Scientific Publishing 2020-05-01
Schriftenreihe:Vietnam Journal of Computer Science
Schlagworte:
imputation techniques
mechanism of missingness
missing data
missing pattern
multiple imputations
Online Zugang:http://www.worldscientific.com/doi/pdf/10.1142/S2196888820500098
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