Imputation of Unknown Missingness in Sparse Electronic Health Records | ScienceToStartup | ScienceToStartup

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References (49)

[1]

Health system-scale language models are all-purpose prediction engines

2023L. Jiang, X. Liu et al.

[2]

Missing Values and Imputation in Healthcare Data: Can Interpretable Machine Learning Help?

2023Zhi Chen, S. Tan et al.

[3]

Medical multivariate time series imputation and forecasting based on a recurrent conditional Wasserstein GAN and attention

Founder's Pitch

"Transformer-based algorithm improves EHR data imputation, enhancing prediction accuracy for healthcare applications."

Medical AI•Score: 5•View PDF ↗

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Imputation of Unknown Missingness in Sparse Electronic Health Records

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References (49)

Founder's Pitch

"Transformer-based algorithm improves EHR data imputation, enhancing prediction accuracy for healthcare applications."

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Imputation of Unknown Missingness in Sparse Electronic Health Records

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References (49)

Founder's Pitch

"Transformer-based algorithm improves EHR data imputation, enhancing prediction accuracy for healthcare applications."

Commercial Viability Breakdown

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