Preeclampsia evolution prediction, method and system

Abstract

The present invention relates to a method for predicting health status of a subject, the method comprising: receiving at least one subject-related dynamic property data, receiving at least one subject-related covariate, processing the at least one subject-related dynamic property data and the at least one subject-related covariate data to generate a subject-related processed dataset, generating at least one health status hypothesis based on the subject-related processed dataset, and predicting at least one health status based on the at least one health status hypothesis. The present invention also relates to a system for predicting health status of a subject, the system comprising: at least one processing component configured to receive at least one subject-related dynamic property data, receive at least one subject-related covariate, and process the at least one subject-related dynamic property data and the at least one subject-related covariate data to generate a subject-related processed dataset; at least one analyzing component configured to analyze the subject-related processed dataset, and generate at least one health status hypothesis based on the subject-related processed dataset, wherein the system is configured to predict at least one health status based on the at least one health status hypothesis, and perform the method according to any of the preceding claims.

Dependencies are inferred from the claim text.