HST.953.2019
Predicting mortality in patients with cardiogenic shock
Abstract
We hypothesize will be able to develop a parsimonious risk prediction model among patients with cardiogenic shock in the cardiac ICU. Moreever, we hypothesize that this model will be able to achieve better discrimination than existing models.
We've developed an accurate mortality prediction model for patients with CS and validated on eICU and MIMIC throughout the course of this semester.
Project Repository
This project repository will be an essential component of how your final project will be evaluated. It will be important for your entire team to be proactive in maintaining the all the documentation and code in this repository. You have free reign to alter this repository for your needs, but suggest this standard directory structure for starters.
All your submissions, except the final presentation is expected to be committed to this repository before the stated deadlines.
Graded Deliverables
- Draft Proposal (09/29/2019)
- Final Proposal (10/14/2019)
- Midterm EDA Presentation (10/25/2019)
- Final Presentation (12/06/2019)
- Final Report (12/13/2019)
- Final Project Repository (12/13/2019)