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Classify Suspected Infection in Patients

Classify patients with suspected infections using data.table and electronic health records.

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12 Tasks1,500 XP

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Project Description

Sepsis is a deadly illness that accounts for a large portion of in-hospital deaths. It occurs when a person's organs shut down in response to a severe infection. This public health problem is a major target for research, and hospital records can help us investigate the problem. In this R project, you will identify hospital patients with severe infection using medical record data. To successfully complete this project you should have some experience with the package `data.table`, including using the `:=` operator, grouping aggregations with `by`, and understanding how to use the `shift` function.

Project Tasks

  1. 1
    This patient may have sepsis
  2. 2
    Which antibiotics are "new"?
  3. 3
    Looking at the blood culture data
  4. 4
    Combine the antibiotic data and the blood culture data
  5. 5
    Determine whether each row is in-window
  6. 6
    Check the I.V. requirement
  7. 7
    Find the first day of possible sequences
  8. 8
    Simplify the data
  9. 9
    Extract first four rows for each blood culture
  10. 10
    Consecutive sequence
  11. 11
    Select the patients who meet criteria
  12. 12
    Find the prevalence of sepsis

Technologies

R R

Topics

Data ManipulationImporting & Cleaning Data
JoAnn Alvarez Headshot

JoAnn Alvarez

Data Scientist at Tenet Healthcare

JoAnn is a data scientist at Tenet Healthcare and previously worked in biostatistics at Vanderbilt Medical School. She studied mathematical statistics at University of Maryland and is passionate about machine learning.
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