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Healthcare optimisation
Stefan Piatek edited this page Oct 14, 2019
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Generally looking at lot better in v4 than I originally appreciated because I was only looking at percentage of time. 96% to 70% is of course a massive gain, but just didn't twig that.
Further thoughts.
- Merging to add to column to dataframe using loops
- Looping through each individual events due today, getting the event time per officer and merging this into an ever-growing dataframe
- Each column is then looped through to determine if the event will can be run
- Dataframe is then used in the get_squeeze_factors method
Thoughts here - keep all of this logic in a dictionary and loop through this instead of iterating through the dataframe columns. Create a dataframe from the dictionary for the get_squeeze_factors
method
TLO Model Wiki