Change-point detection method for the prediction of dreaded events during online monitoring of lung transplant patients
Nassim Sahki, Anne Gégout‐Petit, Sophie Wantz-Mézières · HAL (Le Centre pour la Communication Scientifique Directe) · 2019
Context • Survival after lung transplantation is about 80% at 1 year and 50% at 6 years. • The two main complications responsible for deaths in lung transplant patients are infection and/or rejection. Main objective • Test the monitoring of lung transplant patients by connected sensors ; • Propose a methodology for real-time prediction of a serious event (infection and/ or rejection) via the change-point detection in the evolution of the multivariate signals collected by these connected sensors.