Canine Periodontal Susceptibility Assessment Algorithm
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Solution Overview
Problem
Current methods lack a systematic approach to determine the susceptibility of dogs to periodontal disease and develop personalized treatment and prevention strategies.
Innovation Solution
A method that involves determining characteristics such as breed, head shape, size category, weight, age, and predicted adult size, and using these to assess overall susceptibility through a customised algorithm.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If a systematic approach using multiple characteristics and algorithms is implemented to determine susceptibility, then diagnostic precision and personalized treatment capability are improved, but device complexity and implementation difficulty increase
Solution Approach 1:
The susceptibility assessment system is segmented into distinct modular components: data collection module (gathering breed, age, head shape characteristics), algorithm processing module (applying susceptibility algorithms), and recommendation module (generating personalized treatment plans). This segmentation allows complex functionality to be built from manageable, independent modules that can be developed and maintained separately.
Solution Approach 2:
The system employs universal algorithms that can process multiple different input characteristics (breed, age, head shape, size) through a common computational framework. The same algorithmic structure handles diverse data types and produces standardized susceptibility outputs, enabling the system to accommodate various dog breeds and characteristics without requiring separate specialized systems for each.
2Measurement precision
If comprehensive dog characteristics data is collected and analyzed, then susceptibility determination accuracy is improved, but data processing time and computational resources increase
Solution Approach 1:
Susceptibility algorithms are pre-computed and stored based on extensive datasets of dog characteristics and periodontal disease outcomes. When assessing a specific dog, the system retrieves and applies pre-calculated algorithmic relationships rather than performing complex computations in real-time. This preliminary preparation of computational models enables rapid assessment while maintaining high accuracy.
Solution Approach 2:
The system transforms multiple input parameters (breed, age, head shape, size) into a standardized susceptibility score through algorithmic parameter transformation. By converting diverse characteristics into a unified numerical output, the system simplifies subsequent processing and recommendation generation, reducing the computational burden of handling multiple raw parameters simultaneously.
Data Source
AI summary
A method or system for determining the susceptibility of a dog to periodontal disease and to the development of treatment regimens based upon the levels of susceptibility determined. The method can include determining a characteristic of the dog selected from at least one of a breed of the dog, a shape of the dog's head, a size category of the dog, a weight or body condition of the dog, a predicted size category or weight of the dog as an adult, or an age of the dog. The method can also include comparing the characteristic with a dataset comprising an occurrence of the periodontal disease in other dogs having the at least one characteristic. In addition, the method can include detecting an overall susceptibility level of the dog for the periodontal disease, and/or displaying a customized recommendation on a graphical user interface of the computer based on the overall susceptibility level of the dog.