Explore the most effective imputation strategies for EHR data
The example dataset is TJH dataset, preprocessed following pyehr scripts.
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LOCFImpute
(last-observation-carried-forward) -
ZeroImpute
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MeanImpute
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MedianImpute
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ModeImpute
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SimpleImpute
(GRU-D Simple, concatenating the measurement with masking and time interval)
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InterpolationImpute
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SmoothingImpute
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SplineImpute
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KNNImpute
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MICEImpute
(multiple imputation by chained equations) -
RFImpute
(Random Forest, e.g. MissForest) -
MFImpute
(matrix factorization) -
PCAImpute
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SoftImpute
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MLPImpute
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RNNImpute
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AEImpute
(AutoEncoder) -
GANImpute