[M] Fast-track outcome prediction

Master Assignment

[M] Fast-track outcome prediction

Type: Master 

Period: TBD

Student: (Unassigned)

If you are interested, please contact :

Data type(s): Tabular data

Description: At ZGT, patients with chest pain referred by a general practitioner are admitted to a fast-track clinic, where they undergo a morning of tests followed by a discussion of the results and possible treatment options. The tests are selected based on the patient’s specific characteristics and the likelihood of a serious condition. This research aims to optimize triage using machine learning to minimize both patient burden and costs. Additionally, a triage tool application will be developed to support decision-making at the fast-track clinic.

Goal: Develop an improved triage tool for patients with chest pain for the ZGT fast-track clinic.

Supervisor(s): dr. RLG Nijhuis (Cardiologist ZGT)