PROGRESSION PROFILE PREDICTION

• Main Authors: CILLER RUIZ, Carlos, MOSINSKA-DOMANSKA, Agata Justyna, APOSTOLOPOULOS, Stefanos, DE ZANET, Sandro Ivo Sebastiano
• Format: Patent
• Language: English
• Published: 06.06.2024
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; PHYSICS

A method of predicting a progression of a condition comprises obtaining measurement data relating to at least one measurement on a subject up to a particular time point, wherein the data is generated based on an output of a sensor configured to perform the at least one measurement in respect of the subject. At least one parameter of a parameterized time-dependent function, wherein the parameterized time-dependent function is dependent on a continuous time value, is generated using a trained model and based on the measurement data, wherein the parameterized time-dependent function is indicative of a predicted progression of a condition of the subject over time after the particular time point. The parameterized time-dependent function is evaluated using the at least one parameter, for at least one time point after the particular time point.