Master Assignment
[M] Fast-track outcome prediction
Type: Master
Period: TBD
Student: (Unassigned)
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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)