PATENT CLAIM ANALYSIS

Application Number: 15896987
Application Type: Utility
Filing Date: 2018-02
Publication Date: 2018-08
Patent Classification: ["705", "002000"]

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.

Claim (Index 1):
A system for recommending foods to a user, comprising:\n one or more processors and memory addressable by the one or more processors, the memory storing one or more programs for execution by the one or more processors, the one or more programs comprising instructions for: A) obtaining genotypic data about the user comprising a plurality of first features X={x 1  . . . , x m }, wherein each respective feature x i  in the plurality of first features X is a status of a locus in a plurality of loci; B) obtaining phenotypic data about the user comprising a plurality of second features Y={y 1  . . . , y n }, wherein each respective feature y i  in the plurality of second features Y is a status of a phenotype in a plurality of phenotypes; C) assigning a respective diet type D j  in a plurality of diet types D={D 1  . . . , D q } to the user by inputting a first sub-plurality X 1  of the plurality of first features X and a first sub-plurality Y 1  of the plurality of second features Y into a diet type classification model; D) assigning a micronutrient recommendation profile R j ={r(z i ) . . . , r(z s )} comprising a recommendation r(z i ) for each respective micronutrient z i  in a plurality of micronutrients Z={z 1  . . . , z s } to the user by inputting a second sub-plurality X 2  of the plurality of first features X and a second sub-plurality Y 2  of the plurality of second features Y into a micronutrient classification model; and E) ranking one or more foods in a plurality of foods L={N 1  . . . , N t }, wherein each respective food N i  in the plurality of foods has a corresponding nutrition profile P Ni ={D ki , P(z ki )} comprising an assigned diet type D k  in the plurality of diet types D and an assigned micronutrient profile P(z k )={v(z 1 ) . . . , v(z s )}, wherein the micronutrient profile P(z k ) includes a respective value v(z i ) for each micronutrient z i  in the plurality of micronutrients Z, by comparing the diet type D j  and micronutrient recommendation profile assigned to the user to the nutrition profiles P N  of foods N in the plurality of foods L.

Metadata:
- Claim Count in Document: 26.0
- Percentile: 88.0
- Lexical Diversity: 2.46875
- Patent Class: 705.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['13768997', '15866448', '15361383', '13733588', '14242106']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.1259474411764767
- 35 USC 102 Novelty (BERT): 0.5067028151054164
- Combined Prediction Score: 0.1640229785693707
- Mean Citation Score: 242.884822
- Max Citation Score: 278.3153
- Similarity Product: 202.2410806490957

Labels:
- Claim Label 101: 0
- Claim Label 102: 1
- Claim Label 103: 0
- Claim Label 112: 1
- Combined Label: 0
- Label 101 Adjusted: 0

Dataset: test