Analog Scale Icon for Biomedical Prediction Visualization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Biomedical predictive models face challenges in visualizing certainty and accuracy on mobile devices, where limited screen space restricts the display of complex information, and rapid data growth leads to outdated models, making it difficult for users to interpret prediction results effectively.
Innovation Solution
A method for visualizing biomedical model-based predictions on battery-powered mobile devices using an analog scale icon that displays a prediction score, confidence intervals, and variance, allowing users to intuitively understand the certainty and quality of predictions without numerical value interpretation, and automatically updates models with new data to maintain accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If all context information is displayed to provide complete prediction results, then information completeness is improved, but device complexity and screen space requirements increase
Solution Approach 1:
The patent segments the prediction result visualization into multiple components: a graphical representation of the prediction score, a confidence interval indicator, and a link to detailed context information. This allows the mobile device display to show essential prediction quality metrics without requiring full contextual detail, resolving the contradiction between information completeness and screen space limitations.
Solution Approach 2:
The patent introduces an intermediary interface element that connects the simplified prediction display to the full context information. The graphical prediction score with confidence intervals serves as a mediator that provides sufficient prediction quality information while offering access to detailed context through a link, thus resolving the contradiction between displaying all information and maintaining compact display.
2Measurement precision
If detailed prediction results with confidence intervals are displayed, then prediction quality assessment is improved, but ease of operation decreases on mobile devices
Solution Approach 1:
The patent employs color coding to represent different prediction quality levels. The graphical prediction score visualization uses color changes to indicate confidence intervals and prediction certainty, allowing users to quickly assess prediction quality without interpreting complex numerical data. This resolves the contradiction between providing precise quality metrics and maintaining ease of operation.
Solution Approach 2:
The patent transforms the prediction score into a graphical parameter representation that visually encodes both the prediction value and its confidence interval. This parameter transformation from raw numerical data to visual encoding makes prediction quality assessment intuitive and easy to operate on mobile devices, resolving the contradiction between measurement precision and ease of operation.
3Productivity
If multiple prediction results are displayed on a single screen, then productivity is improved, but information interpretability deteriorates
Solution Approach 1:
The patent segments each prediction result into a standardized graphical format with consistent visual encoding for prediction score and confidence interval. This uniform segmentation allows multiple predictions to be displayed on a single screen while maintaining interpretability, as each result follows the same visual pattern that can be quickly processed by the user.
Data Source
AI summary
The mobile device receives a prediction result via a digital cellular mobile telecommunication network. The prediction result has been generated by a program logic using a biomedical model. The prediction result includes a prediction score, a first confidence interval of prediction scores known to have a percentage of false negative predictions below a predefined FN-percentage threshold and a second confidence interval of score values known to have a percentage of false positive predictions below a predefined FP-percentage threshold. The mobile device displays an analog scale icon including a background area having the prediction score, an analog scale representing the score range; a pointer; a first sub-range indicator indicating the size and position of the first confidence interval; and a second sub-range indicator indicating the size and position of the second confidence interval within the score range.