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Nutri

Nutri© is an AI-based clinical decision support system (CDSS) to help primary care providers (PCPs) collaboratively set data-driven, personalized nutrition goals with patients.

Background

NutriĀ© is an AI-based clinical decision support system (CDSS) to help primary care providers (PCPs) collaboratively set data-driven, personalized nutrition goals with patients. Nutri addresses barriers to diet counseling by gathering and analyzing patient diet data in alignment with the evidenced-based Dietary Guidelines for Americans. Nutri first gathers patient diet data via ASA24, the National Cancer Institute’s (NCI) validated, self-administered 24-hour dietary recall tool. This dietary intake data is processed alongside patient demographic data to personalize diet goals based on MyPlate. (i.e., Make ½ my plate fruits and vegetables.)


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My Role

Under the mentorship of Dr. Marissa Burgermaster and her graduate students, I have worked on coding Nutri’s the rule-based inference engine. My work has served as the basis of the algorithm that converts the quantitative data from the patient dietary recall into high-impact behavioral goals to improve chronic disease management. In Summer 2022, our team is launching a Nutri pilot trial at a federally qualified healthcare clinic. Nutri is also being considered for commercialization by the University of Texas at Austin.

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Technical Details

The code for the rules engine is all written in Python using the Pandas library for analysis. I am currently working on the following improvements:

  • Dependency injection for a more dynamic application

  • Precedence list for goal prioritization

  • ā€œAlertsā€ for nutritional nuances within the rules engine

References

  1. ASA24Ā® Dietary Assessment Tool | EGRP/DCCPS/NCI/NIH. Accessed May 11, 2022. https://epi.grants.cancer.gov/asa24/#what

  2. About Us | MyPlate. Accessed May 11, 2022. https://www.myplate.gov/about-us

  3. Rosenthal M, Larson D, Henning J, et al. P93 Precision Behavioral Nutrition: Development of the NutriPCP Inference Engine for Data-driven Diet Goals in Primary Care. J Nutr Educ Behav. 2021;53(7):S67. doi:10.1016/j.jneb.2021.04.152

  4. U.S. Department of Agriculture and U.S. Department of Health and Human Services. Dietary Guidelines for Americans, 2020-2025. 9th Edition. US Gov Publ Off. Published online December 2020:164. doi:DietaryGuidelines.gov

Copyright 2022 : Eesha Nayak

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