Description Usage Format References Examples
A data.frame containing the master lexicon for the tmpm package.
Contains the index of ais, ICD-9, and ICD-10 trauma codes as well as
their respective marc weights within the tmpm model separated by body region.
1 |
A data frame with 10767 observations on the following 4 variables.
lexiThe trauma code lexicon, a factor with levels ais icdIX
icdX.
indexA unique index value for each entry, a factor with 10767 levels.
marcMarc weights used in the tmpm model. A numeric vector
bodyregionBody region where the injury occured.
A factor with levels 1 2 3 4
5 6 7 8 9 A C E
F H S
Glance, LG, Osler, TM, Mukamel, DB, et al. TMPM-ICD9 A Trauma Mortality Prediction Model Based on ICD-9-CM Codes. Ann Surg 2009; 249:1032-1039.
Osler, T, Glance, L, Buzas, JS, et al. A Trauma Mortality Prediction Model Based on the Anatomic Injury Scale. Ann surg 2008; 247:1041-1048.
1 2 3 4 5 6 7 | # lexi index marc bodyregion
#1 ais 110099 -0.06503967 1
#2 ais 110202 0.13577652 1
#3 ais 110402 0.06703821 1
#4 ais 110600 0.12536530 1
#5 ais 110602 -0.01852628 1
#6 ais 110604 0.27072704 1
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