Constitutional Analysis System Using Objective Functions

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Solution Overview

Problem

Existing methods for constitutional analysis using objective functions face challenges in efficiently and accurately analyzing large and varied datasets, leading to tradeoffs between sophistication and efficiency.

Innovation Solution

A system and method for constitutional analysis using objective functions, which involves generating a ranked list of diseases based on disease impact score vectors, receiving user physiological history data, identifying disease states, matching them to the ranked list, and generating a curative habitual pattern to alleviate the disease states, including a nutrition pattern with targets for each eating occasion.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Measurement precision

If sophisticated methods are used to analyze large and varied datasets, then accuracy is improved, but efficiency deteriorates

Engineering Contradiction:
Improveanalysis accuracyVSAvoidanalysis efficiency
Core Design Contradiction:
Measurement precisionVSProductivity

Solution Approach 1:

The patent segments the analysis process into distinct modules: data reception module, classification module, pattern generation module, and recommendation module. Each module handles specific tasks independently, allowing sophisticated analysis to be performed in manageable segments that maintain accuracy while improving overall processing efficiency through parallelization and specialized optimization of each segment.

Inventive Principle:
Principle #1Segmentation

2Measurement precision

If comprehensive disease analysis is performed on large datasets, then diagnostic accuracy is improved, but computational complexity increases

Engineering Contradiction:
Improvediagnostic accuracyVSAvoidcomputational complexity
Core Design Contradiction:
Measurement precisionVSDevice complexity

Solution Approach 1:

The patent implements dynamic adaptation in the classification module, which adjusts classification parameters and thresholds based on the specific characteristics of the input physiological data. The system dynamically selects and weights different disease patterns and risk factors based on individual user data, maintaining high diagnostic accuracy while reducing computational complexity by focusing resources on the most relevant analysis paths for each case.

Inventive Principle:
Principle #15Dynamics

Data Source

PatentUS20250125038A1Artificial intelligence methods and systems for constitutional analysis using objective functions
Publication Date: 2025.04.17 KPN INNOVATIONS LLC
  • US20250125038A1 patent drawing
  • US20250125038A1 patent drawing
  • US20250125038A1 patent drawing

AI summary

A system for constitutional analysis using objective functions, the system comprising a computing device configured to generate a ranked list of diseases, comprising determining a plurality of disease impact score vectors associated with a plurality of diseases; generating a first objective function; and ranking the diseases; receive, from a user, a plurality of user physiological history data, wherein the user physiological history data was collected by a wearable device; identify, as a function of a disease state classifier, a plurality of disease states associated with the plurality of user physiological history data; match at least a disease state of the plurality of disease states to the ranked list of diseases; and generate a curative habitual pattern to alleviate the at least a disease state, wherein the curative habitual pattern contains a nutrition pattern containing a nutrition target for each eating occasion contained within the nutrition pattern.