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Machine Learning for Predictive Modelling of Ambulance Calls
2021
Electronics
A novel machine learning approach is presented in this paper, based on extracting latent information and using it to assist decision making on ambulance attendance and conveyance to a hospital. The approach includes two steps: in the first, a forward model analyzes the clinical and, possibly, non-clinical factors (explanatory variables), predicting whether positive decisions (response variables) should be given to the ambulance call, or not; in the second, a backward model analyzes the latent
doi:10.3390/electronics10040482
fatcat:kif7ujek2jflrb7p6yufxeccuu