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Synthetic Electronic Health Record (EHR) time-series generation is crucial for advancing clinical machine learning models, as it helps address data scarcity by providing more training data.
Detection of influential observation in linear regression
R Dennis Cook · 1977
Earlier work this paper cites.
Physionet: Components of a new research resource for complex physiologic signals components of a new research resource for complex physiologic signals
A Goldberger, L Amaral, L Glass, J Hausdorff, PC Ivanov, R Mark, HE Stanley, and PhysioToolkit PhysioBank · 2000
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
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Andreas Miltiadous, Katerina D Tzimourta, Theodora Afrantou, Panagiotis Ioannidis, Nikolaos Grigoriadis, Dimitrios G Tsalikakis, Pantelis Angelidis, Markos G Tsipouras, Euripidis Glavas, Nikolaos Giannakeas, et al · 2023
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