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An implementation of the HCC Risk Adjustment Algorithm in Python
This is the error that is occurring when I run the first block, what should I do? Please help Asap.
The line:
indicator(B,'MCAID_Female_Disabled') <= medicaid(B) & disabled(B) & male(B)
needs to be:
indicator(B,'MCAID_Female_Disabled') <= medicaid(B) & disabled(B) & female(B)
Hello,
will the 2018 coefficients be posted here?
thank you!
I love the idea of making the CMS HCC scores more readily consumable by non-SAS users. Do you have any plans to put an open-source license on this work?
Should it be possible to run this code in modern python3 versions? I am running w/ python 3.6.9 and I get the error:
from bokeh.plotting import figure, output_notebook, show, output_file
from bokeh.palettes import Blues, BuGn, viridis, Paired, plasma, PuBuGn
<Tool,CategoricalAxis, LabelSet, Label, ColumnDataSource, widgets,CategoricalColorMapper,LinearInterpolator, LinearColorMapper, LogColorMapper
Traceback (most recent call last):
File "", line 1, in
ImportError: cannot import name 'Color'
Hi, thanks so much for making this very helpful hcc model package to calculate risk scores. I'm wondering if its possible to access the underlying indicator variable values that contribute to the score for a beneficiary. For example, in your notebook you call:
score(jane,X,Score)
But I don't see any of the intermediate hcc variables in the jane object.
Thank you!
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