Antoine Honoré

Antoine Honoré

Affiliated to Research
Visiting address: CMM, L8, 17176 Stockholm
Postal address: K6 Kvinnors och barns hälsa, K6 Klinisk pediatrik Herlenius, 171 77 Stockholm

About me

  • 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


  • 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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