[M] Probability prediction for acute kidney injury

Master Assignment

[M] Probability prediction for acute kidney injury

Type: Master 

Period: TBD

Student: (Unassigned)

If you are interested, please contact :

J.J. van de Beld MSc (Jorn-Jan) PhD Candidate

+31534896743

 j.j.vandebeld@utwente.nl

Building: Zilverling 4055

Personal page

Data type(s): Text, tabular data

Description: Acute Kidney Injury (AKI) is a common complication affecting up to 20% of hospitalized patients, leading to both short- and long-term issues such as prolonged hospital stays, chronic kidney insufficiency, and increased mortality. Early detection of AKI and identifying its underlying cause are critical for optimizing treatment and improving patient outcomes.

Goal: Develop a model that predicts the cause of AKI based on clinical information available within the hospital database.

Supervisor(s): Dion de Martines PhD candidate (ZGT)