Health Check Path Evaluation Indicator Building System
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Solution Overview
Problem
Current health check systems are inadequate for providing stable and personalized evaluations, as they are expensive, time-consuming, and lack depth, making them less appealing and ineffective for disease risk prevention, especially since biomarker data is dynamic and unstable.
Innovation Solution
A health check path evaluation indicator building method that includes providing attributes in a time series, visualizing data to produce source graphic data, performing similarity comparisons with target graphic data to identify a best role model, and selecting a proposal for personalized health check paths based on similarity scores, using a system with components like data providing, visualization processing, similarity comparison, and path development prediction.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If multiple samplings and sample testing are performed to obtain stable biomarker data, then data stability is improved, but test cost and time consumption increase
Solution Approach 1:
The patent uses visualization to create a graphical representation (copy) of health data that can be compared with role model data. This visual copy allows for stable pattern recognition without requiring multiple physical samplings, thus maintaining data stability while reducing test time and cost.
Solution Approach 2:
The patent employs color-coded visualizations to represent different health parameters and their changes over time. By using color changes in the graphical representation, the system can identify stable patterns and anomalies without requiring repeated physical testing, thereby improving data stability assessment while reducing time consumption.
2Adaptability or versatility
If comprehensive health check items are included to improve evaluation depth, then evaluation completeness is improved, but cost and time consumption increase
Solution Approach 1:
The patent applies local quality by customizing the health check items based on individual characteristics and visualized data patterns. Instead of providing a fixed comprehensive checklist, the system identifies specific areas needing attention through visualization and recommends targeted check items, thereby maintaining evaluation depth while reducing overall time consumption.
Solution Approach 2:
The patent makes the health check evaluation dynamic by continuously updating and adjusting check items based on new visualized data and comparisons with role models. The evaluation adapts to individual progress and changes, allowing for deep evaluation without requiring all items to be checked repeatedly, thus reducing time consumption while maintaining completeness.
3Reliability
If standardized health check procedures are used to ensure consistency, then evaluation reliability is improved, but personalization and adaptability decrease
Solution Approach 1:
The patent segments the standardized health check procedure into modular components that can be selectively applied. The visualization system breaks down comprehensive health data into separate visual representations, allowing the system to maintain standardized evaluation frameworks while selectively applying personalization based on individual data patterns and role model comparisons.
Solution Approach 2:
The patent achieves universality by creating a visualization system that can handle multiple types of health data and apply the same visual comparison framework across different individuals. The role model comparison mechanism serves multiple functions: it provides standardized evaluation, enables personalization through individual data patterns, and maintains adaptability across different health conditions, thus resolving the contradiction between consistency and personalization.
Data Source
AI summary
A health check evaluation indicator building method includes the following steps. A visualization process is performed to produce source graphic data on a plurality of features and attributes according to a time series, wherein each of the source graphic data includes a group number. Then, a similarity comparison is performed between the source graphic data and a plurality of target graphic data with the same group number to produce a plurality of similarity scores, where the minimum thereof corresponds to role model graphic data. Based on the role model graphic data, one of a best proposal and an alternative proposal is selected and a result thereof is fed back after execution. A health check evaluation indicator building system and a computer readable medium to embody the above method are also disclosed.