Abstract: Systems and methods for recommending foods to a user based on health data, includes a database, a memory and a processor. The database stores user health data for each user within a plurality of users, including vitals, genotypic and phenotypic data, user food preference data and foods data that includes macronutrient and micronutrient data for foods that may be recommended to a user. The memory stores program instructions, including program instructions that are capable of (i) classifying user health data into predetermined diet types and micronutrient recommendations, (ii) filtering the food data to determine available foods for a user; (iii) a ranking available meals for the user based on the micronutrient recommendations and the food data, and (iv) translating micronutrient recommendations and/or food data for the available foods for the user into specific food recommendations for the user.

Abstract: Systems and methods for providing a dietary recommendation are provided. Assessment responses are obtained for a survey. From the responses a set of tags is identified and polled against decision rules. Each firing of a decision rule casts a weighted or unweighted vote against one or more nutritional products. A subset of products satisfying satisfy a nutritional product selection criterion is identified from the votes. The subset of products is filtered against periodic nutritional limits specifying a maximum consumable amount of a supplement given one or more physiological characteristics specified by the responses. The filtering independently sums the amount of each dietary supplement and removes from one or more doses of a product when a nutritional limit is exceeded. This subset is provided as a dietary recommendation to the subject.

Abstract: Systems and methods for recommending foods to a user based on health data, includes a database, a memory and a processor. The database stores user health data for each user within a plurality of users, including vitals, genotypic and phenotypic data, user food preference data and foods data that includes macronutrient and micronutrient data for foods that may be recommended to a user. The memory stores program instructions, including program instructions that are capable of (i) classifying user health data into predetermined diet types and micronutrient recommendations, (ii) filtering the food data to determine available foods for a user; (iii) a ranking available meals for the user based on the micronutrient recommendations and the food data, and (iv) translating micronutrient recommendations and/or food data for the available foods for the user into specific food recommendations for the user.

Abstract: Systems and methods for recommending foods to a user based on health data, includes a database, a memory and a processor. The database stores user health data for each user within a plurality of users, including vitals, genotypic and phenotypic data, user food preference data and foods data that includes macronutrient and micronutrient data for foods that may be recommended to a user. The memory stores program instructions, including program instructions that are capable of (i) classifying user health data into predetermined diet types and micronutrient recommendations, (ii) filtering the food data to determine available foods for a user; (iii) a ranking available meals for the user based on the micronutrient recommendations and the food data, and (iv) translating micronutrient recommendations and/or food data for the available foods for the user into specific food recommendations for the user.