[D] Good approach for generating treatment plans
I am keeping a record of my mood and what I eat. Also any supplements I take. What I would like to do is generate a sequence of things to eat, supplements to take to try to maximise mood.
I was thinking I could treat it as a sequence of tokens #cereal #lavender #5htp #mcdonalds #dietcoke #sleep8hours #mood-6. Then generate new sequences where you have high mood values. Or I could do auto-correlation between mood and the controllable variables, then find the best correlations. Or I could cast it as a reinforcement learning problem. The agent says what I should do during the next day to try to maximise mood.
Can you guys point me in the direction of some good techniques? I’m a software dev and have some experience with tensorflow…