Antoine Honoré
Affiliated to Research
E-mail: antoine.honore@ki.se
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
Research
- 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.
Articles
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Article: ACTA PAEDIATRICA. 2023;112(7):1443-1452
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Article: ACTA PAEDIATRICA. 2023;112(4):686-696
All other publications
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Review: ACTA PAEDIATRICA. 2021;110(12):3201-3226