Methods and Systems for Pre-Symptomatic Detection of Exposure to an Agent

A method for predicting whether a patient has been exposed to an agent, the method comprising, for each respective time interval in a plurality of time intervals:

• (a) receiving, by at least one processor, physiological data regarding the patient that was recorded during the respective time interval;
• (b) extracting one or more features from the physiological data, wherein each feature is representative of the physiological data during the respective time interval;
• (c) for each respective classifier in a plurality of classifiers:
• (i) identifying the respective classifier, wherein the respective classifier is trained using training data for a respective physiological state;
• (ii) applying the respective classifier to the one or more features to obtain a classifier output that represents a likelihood that the patient has been exposed to the agent;
• (iii) applying a respective first threshold to the classifier output to determine a patient state classification;
• (iv) aggregating the patient state classifications across a number of time intervals to obtain an aggregate patient state classification for each classifier;
• (d) combining the aggregate patient state classifications across the plurality of classifiers to obtain a combined classification;
• and
• (e) providing an indication that the patient has been exposed to the agent when the combined classification exceeds a second threshold.