> On Mar 25, 2018, at 7:53 AM, Ramesh YAPALPARVI <ramesh.yapalparvi at
icloud.com> wrote:
>
> Hi all,
>
>
>
> I'm using the medical risk package to determine the risk stratification
Index based on the ICD9 codes. Although, I have been successful in using it,
I'm unable to interpret the output.
>
>
>
> here is the sample code
>
>
>
> # Calculate RSI for each patient ("id") in dataframe
>
>
> cases <- data.frame(id=c(1,1,1,2,2,2,2,2),
> +
icd9cm=c("D4019","D25000","DV707","D71945","DV4365","D78079","D70909","D1958"))
>
>
> library(plyr)
> ddply(cases, .(id), function(x) { icd9cm_sessler_rsi(x$icd9cm) } )
>
>
>
>
> Output:
>
> id rsi_1yrpod rsi_30dlos rsi_30dpod rsi_inhosp
> 1 1 -0.2860474 1.2481208 -0.5722244 -0.2612804
> 2 2 0.1417417 0.9779779 -1.0318395 0.0000000
>
> Could anyone please help me?
That is just the code and error-free output from the help page for
`icd9cm_sessler_rsi`.
Your posting does not actually conform to the rhelp mailing list standards since
there is no illustrated problem with the use of the R language and rhelp is not
designed to fill in gaps in your understanding of health services research
methods. Have you read through and more importantly "worked through"
the two vignettes that ship with that package? The readers of this list might be
more motivated if you had presented evidence that you had made a good faith
effort with the material that had been already made available to you.
vignette(pac='medicalrisk')
Vignettes in package ?medicalrisk?:
medicalrisk medicalrisk: Calculating risk and comorbidities
from ICD-9-CM codes (source, html)
advanced medicalrisk: Correlating ICU days with mortality
risk and comorbidities (source, html)
Once you have made an effort to "do your own homework", you might be
in a position to construct a more substantial and more specific question for a
venue where this might be more on-topic, perhaps CrossValidated.com
<https://stats.stackexchange.com/>
--
David Winsemius
Alameda, CA, USA
'Any technology distinguishable from magic is insufficiently advanced.'
-Gehm's Corollary to Clarke's Third Law