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SUMMARY:Hackathon #Hack4Surgery: Emergency Room Decision-Making with ML
DTSTART;VALUE=DATE:20250606
DTEND;VALUE=DATE:20250607
DTSTAMP:20260418T031819Z
UID:b49ca0b1817d417b9a9546228253cb8a@www.uni-bonn.de
CREATED:20250403T090312Z
DESCRIPTION:Let’s help to improve surgical decisions in the emergency ro
 om and save lives with machine learning! \n\nEvery day\, doctors make crit
 ical decisions that can determine life and death. With your machine learni
 ng skills\, you can help them make the right decisions faster and more acc
 urately\, 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.\n\nYou will work on a specific challeng
 e 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.\n\nThe hackathon offer
 s a unique opportunity to work on real medical problems and make valuable 
 contacts at the interface of medicine and modeling.\n\nFind the agenda her
 e: www.uni-bonn.de/en/hack4surgery
LAST-MODIFIED:20250919T101835Z
URL:https://www.uni-bonn.de/en/research-and-teaching/transfer/transfer-cen
 ter-enacom/events/boster-hackathon-hack4surgery
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