Worsening Heart Failure Predictor

The aim of the project is to predict hospitalization events of heart failure patients before they even happen. We are working together with BIOTRONIK a company that collects heart status data of patients via their “cardio messenger” on a daily basis. The time series coming out of this online data collection contains hidden signals about worsening heart failure syndrome. We aim at developing new time series analysis tools that allow for early detection of these hidden signals and help to predict the event of hospitalization of the patient so that early intervention becomes possible. We are constructing novel change point detection and trend analysis tools for this task.


Christof Schütte

Project researchers

Juan Latorre, Iliusi Vega, Tim Conrad, Christof Schuette