Missing Value Imputation Methods for Electronic Health Records

Missing Value Imputation Methods for Electronic Health Records

Electronic health records (EHR) are patient-level information, e.g., laboratory tests and questionnaires, stored in electronic format. Compared to physical records, the EHR alternative allows patients to access their data easily and helps staff with management procedural tasks such as information sh...

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Bibliographic Details
Main Authors: Konstantinos Psychogyios, Loukas Ilias, Christos Ntanos, Dimitris Askounis
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Missing value imputation
deep learning
generative adversarial networks
autoencoders
missing data
EHR
Online Access:https://ieeexplore.ieee.org/document/10057378/

Internet

https://ieeexplore.ieee.org/document/10057378/

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