MLFPM Symposium 2022: Bowen Fan
Channel: MLFPM ITN
Date: 20/04/2023

Symposium "Machine Learning Frontiers in Precision Medicine", October 18-19, 2022, Max Planck Institute of Psychiatry

Bowen Fan (ETH Zürich): Prediction of recovery from multiple organ dysfunction syndrome in pediatric sepsis patients

Sepsis is a leading cause of death and disability in children globally, accounting for 3 million childhood deaths per year. In pediatric sepsis patients, the multiple organ dysfunction syndrome (MODS) is considered a significant risk factor for adverse clinical outcomes characterized by high mortality and morbidity in the pediatric intensive care unit. The recent rapidly growing availability of electronic health records (EHRs) has allowed researchers to vastly develop data-driven approaches like machine learning in healthcare and achieved great successes. In this study we develop a machine learning-based approach to predict the recovery from MODS to zero or single organ dysfunction by 1 week in advance in the Swiss Pediatric Sepsis Study cohort of children with blood-culture confirmed bacteremia. The promising results indicate that our model has the potential to be included into the EHRs system and contribute to patient assessment and triage in pediatric sepsis patient care.

The symposium is part of the H2020 Marie Curie Innovative Training Network "Machine Learning Frontiers in Precision Medicine" (https://mlfpm.eu). This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement No 813533.