Personalized Diet Planning Algorithm for Nutrient Intake Management

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Solution Overview

Problem

Current dietary plans are inefficient, time-consuming, and costly, as they fail to account for individual variations in nutritional needs and preferences, leading to ineffective weight management and increased health risks due to obesity and malnutrition, especially in industrial regions where sedentary lifestyles prevail.

Innovation Solution

A process that calculates recommended nutrient intake intervals based on a subject's unique characteristics, such as nutrigenetic profiles and physical traits, compares actual intake values, adjusts foodstuff quantities, and adds supplements as needed to ensure precise nutrient meeting, considering food preferences and health monitoring through biochemical analysis.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Productivity

If traditional dietary plans are developed based on basic biochemical analysis and general lifestyle information, then nutritionists can provide dietary advice, but the process is difficult to implement, time consuming and expensive with low efficiency

Engineering Contradiction:

Improveefficiency of dietary plan developmentVSAvoidtime required for developing nutrition plans

Core Design Contradiction:

ProductivityVSLoss of time

Solution Approach 1:

The system enables automated self-service dietary planning through computer algorithms that automatically analyze subject characteristics, calculate nutrient requirements, generate personalized diet programs, and provide real-time feedback without requiring manual intervention from nutritionists for each plan development

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The manual mechanical process of nutrition plan development by specialists is replaced with an automated computer-based system that uses algorithms to perform calculations, analyze data, and generate dietary recommendations, significantly reducing time and cost while maintaining or improving accuracy

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Adaptability or versatility

If general nutrition reports and research are used to provide dietary advice, then broad population guidance can be given, but it is often impossible for an individual to derive useful advice appropriate to his or her particular circumstances

Engineering Contradiction:

Improvepersonalization of dietary adviceVSAvoidindividual-specific nutritional information

Core Design Contradiction:

Adaptability or versatilityVSLoss of information

Solution Approach 1:

The system transitions from uniform general nutrition recommendations to localized personalized dietary advice by analyzing individual subject characteristics including genetic profiles, physical traits, and specific health conditions to tailor nutrient requirements and food selections to each person's unique needs

Inventive Principle:

Principle #3Local quality

Solution Approach 2:

The population-level nutrition guidance is segmented into individual-specific plans by dividing the general population into distinct categories based on subject characteristics, allowing each individual to receive customized advice rather than blanket recommendations

Inventive Principle:

Principle #1Segmentation

3Object-affected harmful factors

If diet and physical inactivity continue in industrial regions, then current dietary habits are maintained, but weight gain and obesity develop with associated health risks

Engineering Contradiction:

Improvehealth risks from obesityVSAvoidadherence to personalized diet program

Core Design Contradiction:

Object-affected harmful factorsVSEase of operation

Solution Approach 1:

The system incorporates continuous feedback mechanisms that monitor subject compliance with the personalized diet program, track nutrient intake against targets, and provide real-time adjustments and recommendations to improve adherence and prevent obesity-related health risks

Inventive Principle:

Principle #23Feedback

Solution Approach 2:

The dietary plan is designed as a dynamic system that can be adjusted over time based on changing subject characteristics, compliance levels, and health outcomes, allowing the program to adapt to the subject's evolving needs rather than remaining static

Inventive Principle:

Principle #15Dynamics

Data Source

PatentEP3982372A1Process of selecting foodstuffs to meet personalized nutritional needs

Publication Date: 2022.04.13 IVANOV BOGDAN

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AI summary

The invention related to a process of selecting foodstuffs (1000) for a diet of a subject that meets nutrients needs of the subject for a given duration (Dg). The process (1000) comprises a step of calculating (1100) a recommended intake interval (Rini) for each nutrient of a plurality of nutrients according to at least one characteristic of the subject, a step of determining (1200) an actual intake value (NAinv) for each nutrient, a step of comparing (1300) the actual intake value (NAinv) with respect to the recommended intake interval (Rini), if the actual intake value (NAinv) is outside the recommended intake interval (Rini), then proceed to a step of modifying (1400) quantity of foodstuffs in order to have the actual intake value (NAinv) within or below the recommended intake interval (Rini), if at least one nutrient has an adjusted actual intake value (AAinv) below its recommended intake interval (Rini), then proceed to a step of computing (1500) a quantity of nutrient supplement (Qns) to be added to the adjusted actual intake value (AAinv).