Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

Mingxuan Liu; Sheng Li; Han Yuan; Marcus Eng Hock Ong; Yilin Ning; Feng Xie; Seyed Ehsan Saffari; Yuqing Shang; Victor Volovici; Bibhas Chakraborty; Nan Liu

doi:10.1016/j.artmed.2023.102587

journal article Aug 01, 2023

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

Mingxuan Liu Sheng Li

Han Yuan

Marcus Eng Hock Ong

Yilin Ning Feng Xie

Seyed Ehsan Saffari

Yuqing Shang Victor Volovici

Bibhas Chakraborty Nan Liu

Artificial Intelligence in Medicine Vol. 142 pp. 102587 · Elsevier BV

View at Publisher Save 10.1016/j.artmed.2023.102587

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Details

Published: Aug 01, 2023
Vol/Issue: 142
Pages: 102587
License: View

Authors

State Key Laboratory of Molecular Biology and Research Center for Structural Biology, Institute of Biochemistry and Cell Biology, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences, 320 Yue-Yang Road, Shanghai 200031, China; and

Cite This Article

Mingxuan Liu, Sheng Li, Han Yuan, et al. (2023). Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques. Artificial Intelligence in Medicine, 142, 102587. https://doi.org/10.1016/j.artmed.2023.102587

Handling missing values in healthcare data: A systematic review of deep learning-based imputation techniques

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