Antoine Honoré

Antoine Honoré

Affiliated to research

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.

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