Self-Treatment Remedy Selection via Biological Data Analysis

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Solution Overview

Problem

Selecting appropriate self-treatment remedies that are compatible with an individual's body mechanics is challenging, especially for those without knowledge or experience, as it is difficult to predict which remedies will be effective and safe for consumption.

Innovation Solution

A system and method using a computing device that identifies self-treatment remedies through biological extractions and machine-learning algorithms to classify and determine the safety of remedies for user consumption, integrating remedy classifiers and models to generate remedy labels indicating compatibility and safety.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Ease of operation

If users select self-treatment remedies without professional knowledge or experience, then the ease of operation improves, but the reliability of remedy selection deteriorates

Engineering Contradiction:

Improveease of remedy selectionVSAvoidreliability of remedy selection

Core Design Contradiction:

Ease of operationVSReliability

Solution Approach 1:

The system enables users to independently assess remedy compatibility by automatically analyzing their biological extraction data and comparing it with remedy requirements, allowing self-service remedy selection without professional intervention while maintaining reliability through automated scientific analysis

Inventive Principle:

Principle #25Self-service

Solution Approach 2:

The patent replaces the mechanical system of professional knowledge and experience with an automated computational system that uses machine learning algorithms to analyze biological data and determine remedy compatibility, substituting human expertise with algorithmic decision-making

Inventive Principle:

Principle #28Mechanics substitution (Replace mechanical system)

2Measurement precision

If the system analyzes detailed biological extractions to determine remedy compatibility, then the measurement precision improves, but the device complexity increases

Engineering Contradiction:

Improveprecision of compatibility assessmentVSAvoidcomplexity of analysis system

Core Design Contradiction:

Measurement precisionVSDevice complexity

Solution Approach 1:

The system extracts only the specific biological markers and characteristics from complete biological extraction data that are relevant to remedy compatibility, separating essential information from unnecessary complexity while maintaining measurement precision

Inventive Principle:

Principle #2Taking out (Extraction)

Solution Approach 2:

The patent transforms complex biological extraction data into standardized numerical parameters and features that can be processed by machine learning algorithms, changing the form of data representation to reduce computational complexity while preserving measurement precision

Inventive Principle:

Principle #35Parameter changes

Data Source

PatentUS11961605B2Methods and systems for informing self-treatment remedy selection

Publication Date: 2024.04.16 KPN INNOVATIONS LLC

AI summary

A system for informing self-treatment remedy selection. The system includes a computing device configured to identify a self-treatment remedy associated with a user. The computing device classifies using a remedy classify an identified self-treatment remedy as an input and outputs a self-treatment model. The computing device retrieves a biological extraction associated with a user and calculates a self-treatment model using a machine-learning model. The computing device generates a remedy label and determines using the remedy label if an identified self-treatment remedy is safe for user consumption.