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 to identify patients at high risk of thrombosis based on a combination of clinical risk factors and molecular markers, e.g., protein concentrations. These clinical risk factors and molecular markers are combined in a machine learning based algorithm which returns an output value, relating to an estimated risk of a thrombosis event in the future.