Hackathon #Hack4Surgery: Emergency Room Decision-Making with ML

Let’s help to improve surgical decisions in the emergency room and save lives with machine learning!

Every day, doctors make critical decisions that can determine life and death. With your machine learning skills, you can help them make the right decisions faster and more accurately, thus actively influencing the lives of patients. Our goal is to develop innovative solutions that improve the quality of treatment and the chances of survival for patients.

You will work on a specific challenge with the support of experts from Bonn Surgical Technology Center (BOSTER) and B-IT. You will develop prediction models based on real data from the UKB emergency room, for example to predict whether emergency surgery is needed for certain symptoms such as abdominal pain.

The hackathon offers a unique opportunity to work on real medical problems and make valuable contacts at the interface of medicine and modeling.

Find the agenda here: www.uni-bonn.de/en/hack4surgery