Intelligent monitoring of a health state of a user engaged in operation of a computing device

A method for implementing an intelligent monitoring of a health state of a user in a computing environment by a processor, comprising:

• receiving health data of the user collected by one or more computing devices in one or more environments;
• receiving user activity data of one or more activities performed by the user on the one or more computing devices in the one or more environments;
• executing machine learning logic to learn the health state of the user while engaged in the one or more activities associated with the one or more computing devices in the one or more environments by generating a health model trained to correlate the health data to the user activity data, wherein the health model correlates specific sequences of the one or more activities performed by the user on the one or more computing devices at specific times to specific health events impacting the health state of the user;
• identifying and recommending one or more mitigating actions to implement by the user to minimize one or more possible negative impacts upon the health state of the user while engaged in the one or more activities associated with the one or more computing devices;
• receiving user feedback, as feedback data, with respect to an effectiveness of the one or more mitigating actions implemented by the user;
• and
• executing the machine learning logic to re-train the health model using the feedback data to iteratively optimize the health model to enhance the effectiveness of future mitigating actions recommended be implemented by the user.