Jon Allen

US Patent:

20180240542, Aug 23, 2018

Filed:

Feb 14, 2018

Appl. No.:

15/896987

Inventors:

- Emeryville CA, US
Joshua Anthony - Princeton NJ, US
Ryan Yockey - Emeryville CA, US
Matt Van Horn - Emeryville CA, US
Jon Allen - Emeryville CA, US
Erin Barrett - Emeryville CA, US
Barbara Winters - Emeryville CA, US
Heather Cutter - Emeryville CA, US
Angie Westbrock - Emeryville CA, US
Matt Town - Emeryville CA, US
Jennifer Carrico - San Francisco CA, US

Assignee:

Habit, LLC - Emeryville CA

International Classification:

G16H 20/60
G06F 17/30

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.

US Patent:

20180144820, May 24, 2018

Filed:

Oct 24, 2017

Appl. No.:

15/792673

Inventors:

- Emeryville CA, US
Joshua Anthony - Princeton NJ, US
Ryan Yockey - Emeryville CA, US
Matt Van Horn - Emeryville CA, US
Jon Allen - Emeryville CA, US
Erin Barrett - Emeryville CA, US
Barbara Winters - Emeryville CA, US
Heather Cutter - Emeryville CA, US
Angie Westbrock - Emeryville CA, US
Matt Town - Emeryville CA, US

Assignee:

Habit, LLC - Emeryville CA

International Classification:

G16H 20/60
G06F 17/30

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.