most citedSANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models

1 citations · 1 across the 1 of their papers we have counts for

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cs.LG2021★ 1 cited

SANSformers: Self-Supervised Forecasting in Electronic Health Records with Attention-Free Models

Yogesh Kumar, Alexander Ilin, Henri Salo +3

Despite the proven effectiveness of Transformer neural networks across multiple domains, their performance with Electronic Health Records (EHR) can be nuanced. The unique, multidim…