Artificial intelligence based health coaching based on ketone levels of participants

A system capable of using artificial intelligence to provide health coaching based on breath ketone levels of users, the system comprising:

• a plurality of portable breath analysis devices, each breath analysis device comprising a ketone sensor capable of measuring ketone levels in breath samples of users to generate ketone measurements of the users, the ketone measurements reflective of effectiveness levels of current health programs assigned to the users, each breath analysis device comprising a wireless transceiver capable of wirelessly transmitting the ketone measurements of the users;
• and
• a computing system that hosts an automated health coaching system, the automated health coaching system configured to use a machine learning process to classify the users based, at least partly, on data records of the users, the data records including the ketone measurements of the users and including other profile data of the users, the automated health coaching system further configured to use at least the classifications to select health program modifications, including diet modifications, for particular users, and to output an indication of the selected health program modifications for display via a user interface, the computing system comprising one or more physical servers;
• wherein the computing system is programmed with executable instructions to use a trained model to classify the users based on the data records of the users, the trained model comprising (1) a feature extractor that extracts features from the data records of the users, the features including features based on the ketone measurements and other profile data of the users, and (2) a classifier that classifies the users using a set of weights that specify amounts of weight to apply to particular extracted features, the weights learned by applying a machine learning algorithm to classified user data records.