Medical Diagnosis Support Apparatus with Influence Rate Calculation
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Solution Overview
Problem
Existing medical diagnosis support apparatuses generate interpretation report sentences automatically but fail to explain the derivation process, making it difficult for primary doctors to understand the conclusion reached.
Innovation Solution
A medical diagnosis support apparatus that acquires medical information, infers diagnosis names based on input data, calculates the influence rate of each input information, and creates report sentences that include the inference result and the grounds of the inference, allowing for transparent and understandable reports.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If automatic report sentence creation is implemented using inference results, then productivity is improved, but the ease of operation deteriorates because primary doctors cannot understand the derivation process
Solution Approach 1:
The patent introduces an influence rate calculation unit that acts as an intermediary between the inference unit and the report creation unit. This unit calculates and quantifies the contribution of each input information to the inference result, providing a transparent explanation mechanism that bridges the gap between automated processing and human understanding.
Solution Approach 2:
The system implements feedback by providing influence rate information back to the report creation process. This feedback loop allows the system to automatically adjust report sentences based on which input factors most influenced the diagnosis, ensuring that the generated reports include explanatory content that reflects the actual reasoning process.
2Ease of operation
If detailed explanation of inference process is added to report sentences, then ease of operation is improved, but device complexity increases
Solution Approach 1:
The patent segments the report creation process into distinct functional units: an acquisition unit for input information, an inference unit for diagnosis, a calculation unit for influence rates, and a creation unit for report sentences. This segmentation allows each unit to perform a specific function, making the overall system easier to manage and understand despite its complexity.
Solution Approach 2:
The influence rate calculation unit automatically calculates the contribution of each input factor without requiring manual intervention. The system serves itself by autonomously generating explanatory content based on the calculated influence rates, reducing the need for complex manual configuration or intervention.
3Loss of information
If influence rate calculation is implemented, then loss of information is reduced, but use of energy increases
Solution Approach 1:
The patent applies partial action by calculating influence rates selectively for the most important input factors rather than exhaustively analyzing all possible inputs. This approach provides sufficient explanatory information to improve understandability while avoiding the excessive computational energy that would be required to analyze every possible factor in detail.
Data Source
AI summary
A medical diagnosis support apparatus is provided. In the medical diagnosis support apparatus, an acquisition unit acquires medical information associated with a diagnosis target as input information. An inference unit infers a diagnosis name of the diagnosis target based on the acquired input information. A calculation unit calculates the influence rate of each input information with respect to each inference. A creation unit creates a report sentence based on the calculated influence rate.