no code implementations • 26 Jan 2021 • Simon Meyer Lauritsen, Bo Thiesson, Marianne Johansson Jørgensen, Anders Hammerich Riis, Ulrick Skipper Espelund, Jesper Bo Weile, Jeppe Lange
The importance of proper problem framing is by no means exclusive to sepsis prediction and applies to most clinical risk prediction models.
no code implementations • 3 Dec 2019 • Simon Meyer Lauritsen, Mads Kristensen, Mathias Vassard Olsen, Morten Skaarup Larsen, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
We developed an explainable artificial intelligence (AI) early warning score (xAI-EWS) system for early detection of acute critical illness.
Explainable artificial intelligence Explainable Artificial Intelligence (XAI) +2
no code implementations • 7 Jun 2019 • Simon Meyer Lauritsen, Mads Ellersgaard Kalør, Emil Lund Kongsgaard, Katrine Meyer Lauritsen, Marianne Johansson Jørgensen, Jeppe Lange, Bo Thiesson
We present a deep learning system for early detection of sepsis that is able to learn characteristics of the key factors and interactions from the raw event sequence data itself, without relying on a labor-intensive feature extraction work.