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Predictive modelling of transport decisions and resources optimisation in pre-hospital setting using machine learning techniques
(2024-05-03)
Background: The global evolution of pre-hospital care systems faces dynamic challenges, particularly in multinational settings. Machine learning (ML) techniques enable the exploration of deeply embedded data patterns for ...
Quality improvement tools to manage emergency callbacks from patients with diabetes in a prehospital setting
(2023-01-04)
Diabetes is rising at an alarming rate, as 1 in 10 adults worldwide now lives with the disease. In Qatar, a middle eastern Arab country, diabetes prevalence is equally concerning and is predicted to increase from 17% to ...