Longevity Classifier for Personalized Health Plans
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Solution Overview
Problem
Current solutions for enhancing human longevity are not satisfactory as they lack personalized and effective approaches tailored to individual health status and needs.
Innovation Solution
An apparatus and method utilizing a processor and memory to receive longevity measurements, calculate longevity parameters, train a classifier using training data, and assign a longevity level, ultimately generating a personalized longevity plan based on these parameters and levels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If existing solutions are used for enhancing longevity, then general approaches can be applied, but they lack personalized and effective approaches tailored to individual health status and needs
Solution Approach 1:
The patent segments the longevity enhancement problem into multiple components: receiving longevity measurements, calculating longevity parameters, assigning longevity levels through classification, and generating customized longevity plans. This segmentation enables personalized approaches by processing individual health data through distinct analytical stages, directly addressing the lack of personalization in existing solutions
Solution Approach 2:
The patent applies local quality by tailoring the longevity plan to each individual's specific health status, longevity parameters, and classified longevity level. The system generates customized recommendations based on local individual characteristics rather than applying uniform general approaches, thereby improving both adaptability and effectiveness
2Reliability
If a tailored plan is created for each patient based on health status, then personalized effectiveness is improved, but the complexity of the system increases
Solution Approach 1:
The system employs automated self-service mechanisms where the processor automatically receives longevity measurements, calculates parameters, classifies longevity levels using trained classifiers, and generates tailored plans without requiring manual intervention. This automation reduces the practical complexity burden despite the sophisticated personalized analysis performed
Solution Approach 2:
The patent transforms complex health data into simplified longevity parameters and classified longevity levels that serve as intermediate representations. This parameter transformation approach maintains effectiveness by preserving essential health information while reducing complexity for plan generation and interpretation
Data Source
AI summary
An apparatus for enhancing longevity, wherein the apparatus includes at least a processor and a memory communicatively connected to the processor, the memory containing instructions configuring the at least a processor to receive a longevity measurement related to a user and calculate a longevity parameter as a function of the longevity measurement. The memory containing instructions further configuring the processor to assign the user a longevity level, including training a longevity classifier using a longevity training data containing a plurality of data entries correlating examples of longevity parameters to examples of longevity levels, classifying the longevity parameter to the longevity level using the longevity classifier, and assigning the user the longevity level as a function of the classification. The memory containing instructions further configuring the processor to generate a longevity plan as a function of the longevity parameter and longevity level.