comorbidities.icd10-package: Categorizes ICD-9-CM and ICD-10 codes based on published...
In gforge/comorbidities.icd10: Calculates Comorbidity Indices Based on ICD-9/10
Description
This package is for calculating comorbidities using
administrative ICD-9 and ICD-10 codes. Methods to
categorize codes into sensible disease categories have been
developed and published by numerous authors. Two of the
most widely used such methods are the Deyo/Quan adaptation
of Charlson index and the Elixhauser index. This package
has functions to categorize comorbidites into four
Charlson-index alternatives, two Elixhauser index
alternatives, and the AHRQ comorbidity index (an update to
the original Elixhauser method, currently only available
for ICD-9).
Details
In this remake of the comorbidity package the main
comorbidity calculator function is the
cmrbdt.calc function. You should try to use
this instead of the deprecated deyo,
elixhauser, and ahrq functions.
The function is more flexible and allows a more unified
approach to calculating comorbidities. You can provide the
function any of the available cmrbdt.finder* functions or
write your own finder using as long as you comply to the
same API.
The value returned consists of a vector + one or two data
frames. The vector is the total comorbidity count, or in
the case of the Charlson score, the total Charlson score.
Each row in the data frame is devoted to a particular
patient according to the corresponding ID-codes provided to
the function. The data frame codes a FALSE if the
patient does not have that diagnosis and TRUE if the
patient does have that diagnosis.
Author(s)
Paul Gerrard, Max Gordon
gforge/comorbidities.icd10 documentation built on May 17, 2019, 2:12 a.m.
R Package Documentation
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Note that we can't provide technical support on individual packages. You should contact the package authors for that.
Description
This package is for calculating comorbidities using administrative ICD-9 and ICD-10 codes. Methods to categorize codes into sensible disease categories have been developed and published by numerous authors. Two of the most widely used such methods are the Deyo/Quan adaptation of Charlson index and the Elixhauser index. This package has functions to categorize comorbidites into four Charlson-index alternatives, two Elixhauser index alternatives, and the AHRQ comorbidity index (an update to the original Elixhauser method, currently only available for ICD-9).
Details
In this remake of the comorbidity package the main
comorbidity calculator function is the
cmrbdt.calc function. You should try to use
this instead of the deprecated deyo,
elixhauser, and ahrq functions.
The function is more flexible and allows a more unified
approach to calculating comorbidities. You can provide the
function any of the available cmrbdt.finder* functions or
write your own finder using as long as you comply to the
same API.
The value returned consists of a vector + one or two data
frames. The vector is the total comorbidity count, or in
the case of the Charlson score, the total Charlson score.
Each row in the data frame is devoted to a particular
patient according to the corresponding ID-codes provided to
the function. The data frame codes a FALSE if the
patient does not have that diagnosis and TRUE if the
patient does have that diagnosis.
Author(s)
Paul Gerrard, Max Gordon
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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