Abstract: A method for supporting and/or making clinical decisions, especially with relation to cannabis use, that uses computer analytics to automatically analyze data to determine which data is relevant to account for changes in a patient over time, continually improves on that analytical process, and offers predictions, insights, and/or suggestions to support clinical decision making.

Abstract: An automatic system for making clinical decisions, especially with relation to cannabis use, that incorporates data from multiple personal tracking devices such as fitness trackers, analyzes that data using machine learning techniques to determine which data points are relevant to account for changes over time, and offers predictions, insights, and/or suggestions to support clinical decision making.

Abstract: A system for making clinical decisions.

Abstract: A system for making clinical decisions.

Abstract: A system for making clinical decisions.

Abstract: A system for making clinical decisions.

Abstract: A system for making clinical decisions.

Abstract: A wellness system for a user operating on a computing device including a processor for administrating product including at least one of cannabis and cannabinoid includes a monitoring inference engine that receives, at least one of, (i)sensor data from the user; (ii) user input data from the user; (iii) at least one of regimen data and prescription data for at least one of cannabis and cannabinoids; (iv) over the counter medicine data for the user; (v) prescription data for the user. The monitoring inference engine processes such received data using a machine learning based processing engine to provide personalized data for the user.