Visualizing Emergency Room Visits

Eugene Joh has a great blog post showing how to parse ICD-9 codes using regular expressions and then visualize the results as a treemap:

It looks like there is a header/title at [1], numeric grouping  at [2] “1.\tINFECTIOUS AND PARASITIC DISEASES”,  subgrouping by ICD-9 code ranges, at [3] “Intestinal infectious diseases (001-009)” and then 3-digit ICD-9 codes followed by a specific diagnosis, at [10] “007\tOther protozoal intestinal diseases”. At the end we want to produce three separate data frames that we’ll categorize as:

  1. Groups: the title which contains the general diagnosis grouping

  2. Subgroups: the range of ICD-9 codes that contain a certain diagnosis subgroup

  3. Classification: the specific 3-digit ICD-9 code that corresponds with a diagnosis

It’s a beefy article full of insight.

Related Posts

Matrix Transposition In T-SQL

Phil Factor has some fun transposing a matrix using T-SQL: What I’m doing is simply converting the table into its JSON form, and then using this to create a table using the multi-row VALUES  syntax which paradoxically allows expressions. The expression I’m using is JSON_Value, which allows me do effectively dictate the source within the table, via […]

Read More

R In Linux For Windows

David Smith shows how to install and use R in the Windows Subsystem for Linux: R has been available for Windows since the very beginning, but if you have a Windows machine and want to use R within a Linux ecosystem, that’s easy to do with the new Fall Creator’s Update (version 1709). If you […]

Read More

Categories