Abstract: A data processing system for predicting a score representative of a probability of a sepsis for a patient includes a data interface configured to receive, from at least one database, health data of at least one patient. The data processing system includes a trained machine learning model configured to predict and provide the score using as input the health data for each patient, and to provide a plurality of sub-scores representative of a correlation between the health data and the predicted score. In this regard, the health data includes regularly updated biometric monitoring data provided by a biometric monitoring device and health history data provided by at least one health history database.