Combined use of clinical risk factors and molecular markers for thrombosis for clinical decision support

摘要

The present invention relates to an apparatus and method for clinical decision support that identifies patients at high risk of thrombosis based on a combination of clinical risk factors and molecular markers such as protein concentration. These clinical risk factors and molecular markers are combined in a machine learning based algorithm that returns an output value for the estimated risk of future thrombotic events.