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An R package for computing comorbidity scores.

Results 16 comorbidity issues
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Hi @ellessenne, Our team at Brigham and Women's Hospital (principally myself, @kravvaz, and @salmasian) have been developing a fork of this package that can replicate the functionality of AHRQ's SAS...

Kia ora, Thanks for all your work on this package. This is a pull request containing an implementation of the M3 Multimorbidity Index, as described in Stanley J, Sarfati D....

Possibly related to #39 - in the code below I can see the variable labels and access them through the variable.labels attribute of the dataframe: ``` set.seed(1) x

bug

Following some e-mail feedback, I think it would be good to add to the package the following functions: - `comorbidity_check()` (or some similar name) to verify if a user-supplied comorbidity...

enhancement

The idea is to allow the user passing a list of codes, e.g. a different comorbidity map. Could use something like this to turn a list of codes into a...

enhancement

Hi there, I was working with the package (great one btw) and looking at the ICD10 codes included for each diagnosis. I have noticed that C86 (in ICD10 of course)...

discussion

The way the package calculates the Elixhauser comorbidity is based on previously published literature (Quan et al. and Moore et al.) which is dated. AHRQ continues to update the algorithm...

Hi, I'm the author of the R package 'icd', and I'm glad to see that several of us have worked on solving the comorbidity computation problem. Just noticed your package...

discussion

{comorbidity} 1.0.0 was released on CRAN on 2022-01-17. A startup message is printed to the console when the package is loaded with a certain probabiltiy, to highlight that there were...

The wide data frame returned by comorbidity may consume a lot of memory and does not match the input format. Would changing the output to a sparse format of two...