
Antoine Honoré
Affiliated to research
Email:
antoine.honore@ki.se
PhD Student at the Information Science and Engineering Division, KTH Royal Institute of Technology.
Thesis topic: Machine learning for sepsis prediction in Neonatal Intensive Care units
Research description
I analyze vital sign signals from infants monitored at the Neonatal Intensive Care Units (NICU) of the main hospitals of the Stockholm area. I am interested in developing machine learning models enabling a reliable monitoring of the diverse population of infants under care in NICUs.