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.
- 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
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.