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Fitting GAM(Generalized Additive Model) to predict Hospital demand data using weather data and other variables as predictors

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Ekimwatan/GAM-model-for-forcasting_R

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GAM-model-for-forcasting_R

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Programming Language R version 3.6.1

What it does

This script works on modelling hospital emergency department demand data with weather data as predictor.

Data used is from

  • Emergency departments admissions and attendance dataset provided by the Department of Health of Western Australia
  • daily temperature and precipitation data from the NOAA api

Purpose

The model could be used by hospital staffing departments to efficiently plan duty rosters and prevent a mismatch between patient demand for emergency services and availability of staff.

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Fitting GAM(Generalized Additive Model) to predict Hospital demand data using weather data and other variables as predictors

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