2 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2024★ 2 cited
Effective Predictive Modeling for Emergency Department Visits and Evaluating Exogenous Variables Impact: Using Explainable Meta-learning Gradient Boosting
Mehdi Neshat, Michael Phipps, Nikhil Jha +3
Over an extensive duration, administrators and clinicians have endeavoured to predict Emergency Department (ED) visits with precision, aiming to optimise resource distribution. Des…
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…