Abstract: Techniques for monitoring a physiological condition of a patient are provided. In some embodiments, the techniques may involve obtaining a predictive association model associated with the patient, wherein the predictive association model comprises an association of two or more categorical state values that are predictive of the patient consuming a meal. The techniques may further involve obtaining real-time data associated with the patient. The techniques may further involve determining a current state of the patient based at least in part on the real-time data by transforming the real-time data into two or more current state categorical values. The techniques may further involve predicting consumption of a meal in response to determining the two or more current state categorical values match the two or more categorical state values of the association.

Abstract: Patient monitoring systems and related devices and operating methods are provided. One exemplary method involves obtaining a predictive association model determined based on historical data associated with the patient that includes a plurality of associations, obtaining real-time data associated with the patient from a plurality of different data sources, determining a current state of the patient based at least in part on the real-time data, predicting occurrence of an event when the current state of the patient corresponds to an association of the plurality of associations, and in response to predicting the occurrence of the event, initiating an action in response to the predicted event.

Abstract: A method, system and platform are provided that can utilize a serverless architecture with autonomous functions to standardize nutritional and health data from various sources into a structured file format suitable for analysis. The platform may include an authentication component, a data retrieving component, a pipeline component, a standardization component, and a storage component. The components may include sets of autonomous functions, streaming applications, notification messages, and other objects logically connected to one another. The components may be connected serially and data may flow through the components sequentially in a stream. Using the disclosed architecture, the platform can aggregate and process large volumes of data in an efficient and cost-effective manner, analyze the standardized structured data, and generate personalized dietary and health advice or recommendations to individual end users.