Classify Suspected Infection in Patients
Classify patients with suspected infections using data.table and electronic health records.
Start Project
12 tasks
710 participants
1,500 XP
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
- 1This patient may have sepsis
- 2Which antibiotics are "new"?
- 3Looking at the blood culture data
- 4Combine the antibiotic data and the blood culture data
- 5Determine whether each row is in-window
- 6Check the I.V. requirement
- 7Find the first day of possible sequences
- 8Simplify the data
- 9Extract first four rows for each blood culture
- 10Consecutive sequence
- 11Select the patients who meet criteria
- 12Find the prevalence of sepsis
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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R