This weekend I further integrated the microbiome prescription artificial intelligence with the Food and Nutrients database. A common problem is that many flavonoids and other stuff are not well known to most people. On the other hand, most dietician will be clueless on converting the suggestions to menus and food planning. This addition attempts to bridge this disconnect.
Video Walk Thru Below
How do I get to it?
It appears automatically on the usual suggestions page
It is also on the consensus page
The Artificial Intelligence Dietician
This will open a page with often 2000+ food items
Clicking on a food group button will filter it — for example, what would be a good fish to have?
The Benefit Est is based on the estimates from suggestions. For consensus, the numbers will be higher because the consensus weight is not scaled.
Remember, clicking on the food will show what is in it. Nutrients that are used by the AI are marked with “Significant”
As a FYI on both Retinol and Vitamin A, being in the list. They are the same and yet different.
Vitamin A comes from two sources. One group, called retinoids, comes from animal sources and includes retinol. The other group, called carotenoids, comes from plants and includes beta-carotene
https://www.mountsinai.org/health-library/supplement/vitamin-a-retinol
Foods To Avoid
As usual, clicking on column headers reverse the sort order. In this case, classic Norwegian Goat Cheese should be dropped from my diet (with tears)
Walk Thru
A special shout out to people who have been donating to running costs for the site. To get this working smoothly I had to get SSL Certificates for multiple parts of Microbiome Prescription, You should see đź”’ on all of the component sites now (if not, update the link to https://)
Microbiome Menu Helper The Artifical Intelligence Dietician – YouTube
Bottom Line
As always, having your plans reviewed by a human dietician and/or medical professional is always recommended.
Postscript – and Reminder
I am not a licensed medical professional and there are strict laws where I live about “appearing to practice medicine”. I am safe when it is “academic models” and I keep to the language of science, especially statistics. I am not safe when the explanations have possible overtones of advising a patient instead of presenting data to be evaluated by a medical professional before implementing.
I cannot tell people what they should take or not take. I can inform people items that have better odds of improving their microbiome as a results on numeric calculations. I am a trained experienced statistician with appropriate degrees and professional memberships. All suggestions should be reviewed by your medical professional before starting.
The answers above describe my logic and thinking and is not intended to give advice to this person or any one. Always review with your knowledgeable medical professional.
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