Machine learning in medicine: Sepsis and antibiotic resistance prediction

Sepsis is a major cause of mortality in intensive care units around the world.
If recognized early, it can often be treated successfully, but early prediction
of sepsis is an extremely difficult task in clinical practice. The data wealth
from intensive care units that is increasingly becoming available for research
now allows to study this problem of predicting sepsis using machine learning and
data mining approaches. In this talk, I will describe our efforts towards 
data-driven early recognition of sepsis and the related problem of antibiotic 
resistance prediction.