Abstract: A system and method of using an intelligent telehealth platform to generate a recommended treatment plan based on daypart feedback to treat a malady of a user. The method includes obtaining a user profile dataset of a user. The user profile dataset includes a plurality of user goals for a plurality of dayparts of a day, each daypart of the plurality of dayparts is respectively associated with one or more user goals of the plurality of user goals. The method includes generating a plurality of treatment plans to treat a malady of the user based on the user dataset and a machine learning model trained to predict cannabis treatment responses, each treatment plan is for using one or more cannabis products during a respective daypart of the plurality of dayparts of the day. The method includes transmitting the plurality of treatment plans to a client device.

Abstract: A system and method of using an intelligent telehealth platform to generate a recommended treatment plan to treat a malady of a user. The method includes obtaining a user profile dataset associated with a user. The method includes selecting, based on the user profile dataset, a first machine learning model from a set of machine learning models respectively trained to predict cannabis treatment responses. The method includes generating, by a processing device, a recommended treatment plan for using one or more cannabis products to treat a malady of the user based on the user profile dataset and the first machine learning model. The method includes transmitting the recommended treatment plan to a client device to cause the client device to display the recommended treatment plan.