most citedPredicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model

2 citations · 2 across the 1 of their papers we have counts for

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1 paper

cs.NE2024★ 2 cited

Predicting the Stay Length of Patients in Hospitals using Convolutional Gated Recurrent Deep Learning Model

Mehdi Neshat, Michael Phipps, Chris A. Browne +2

Predicting hospital length of stay (LoS) stands as a critical factor in shaping public health strategies. This data serves as a cornerstone for governments to discern trends, patte…