Attention-Based Imputation of Missing Values in Electronic Health Records Tabular Data
Author:
Affiliation:
1. Tennessee State University,Department of Computer Science,Nashville,TN,United States
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10628445/10628534/10628903.pdf?arnumber=10628903
Reference27 articles.
1. Predicting survival from large echocardiography and electronic health record datasets: Optimization with machine learning;Samad;JACC: Cardiovascular Imaging,2019
2. Missing value estimation using clustering and deep learning within multiple imputation framework
3. Gain: Missing data imputation using generative adversarial nets;Yoon,2018
4. Identifiable generative models for missing not at random data imputation;Ma;Advances in Neural Information Processing Systems,2021
5. MIDA: Multiple Imputation Using Denoising Autoencoders
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